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Let's grow together! Zurich Cover-More is one of the world's largest travel insurance and assistance providers and part of Zurich Insurance Group, a leading multi-line insurer. We stand for more care, more cover, for all, and we look after more than 20 million of the world's travelers every year, making sure we are there every step of their journey. Our family of customer-facing brands include Travel Guard, Cover-More Travel Insurance, Travelex Insurance, Universal Assistance, World Travel Protection, Freely and Blue Insurance. We are a connected and caring workforce of more than 2600 employees with teams in North America, Europe, Latin America, and Asia Pacific. Our global delivery platform provides a consistent multi-lingual service experience and the ability to write insurance policies in more than 50 countries. Zurich Cover-More has more than 200 distribution partners around the world including airlines, global travel companies, major banks and credit card providers and leading retailers. Further information is available at https://www.covermoregroup.com/people/ . What is the opportunity? Are you a compliance expert looking for an opportunity to apply your experience in North American and international privacy laws, including HIPAA, GDPR, and PIPEDA, to ensure enterprise-wide compliance? If so, we would love to hear from you. Zurich Cover-More (ZCM) is seeking a seasoned compliance professional with deep expertise in Data Privacy and Records Management (DPRM) to lead and strengthen our global compliance framework in this domain. While DPRM will be your primary area of focus, you will also contribute to broader compliance initiatives across Zurich's Compliance Risk Universe (CRU), including Third Party Risk, Customer Facing Conduct, Market Integrity, and Financial Crime. Reporting to the Head of Compliance Centre of Excellence, this role offers a unique opportunity to drive privacy and records management best practices while supporting global adherence to evolving regulatory requirements and embedding CRU processes/controls within the 1st Line of Defense. This is a highly visible role requiring coordination with employees throughout the ZCM organization with broad participation in all aspects of Zurich's Compliance Program. This position can be based in New York City, NY, Chicago/Schaumburg, IL, or Toronto Canada. What will you be doing? Support the development and execution of ZCM's global compliance framework, including policies and controls, with a primary focus on DPRM, ensuring effectiveness across end-to-end processes. Serve as the subject matter expert (SME) for DPRM, advising the 1st Line of Defense and regional compliance teams. Engage with senior stakeholders to understand business models and contribute to compliance risk mitigation efforts. Collaborate with global compliance SMEs to identify emerging trends, share knowledge, promote best practices, and ensure consistency and alignment across all CRU domains. Provide strategic guidance and oversight on compliance inquiries and cases, primarily in DPRM but also across other CRU areas. Support the integration of compliance controls into business processes, ensuring regulatory adherence and operational effectiveness. Support the design, delivery, and monitoring of compliance programs, policies, and training across CRU topics. Analyze key performance indicators (KPIs) relating to compliance topics, including DPRM, generating insights to enhance compliance strategies and decision-making. Support the preparation of high-quality reports for business leadership, governance committees, and regulatory bodies, ensuring transparency and accountability. Support oversight and assurance processes to ensure adherence with compliance requirements. Build, maintain, and develop expertise across Zurich's Compliance Risk Universe. What are we looking for? Bachelor's degree in risk and compliance, law, business, information security, or related field of study. 5+ years of experience in financial services or regulatory compliance, with proven expertise in DPRM and preferably with knowledge of the insurance industry, particularly in global corporate business. In-depth knowledge of data protection and privacy regulations (e.g., HIPAA, GDPR, PIPEDA, and state-specific laws) and industry best practices. Certified Information Privacy Professional (CIPP) certification is desirable. Familiarity with other CRU domains (Third Party Risk, Customer Facing Conduct, Market Integrity, and Financial Crime) and ability to support cross-functional compliance initiatives. Excellent stakeholder engagement, project management, and organizational skills. Proven ability to manage multiple projects and meet deadlines. Ability to translate complex regulatory requirements into practical business solutions. Exceptional analytical and advisory skills, with the ability to develop and deliver effective management information and reporting. Ability to balance risks in ambiguous and complex situations. Experienced working in complex and global organizations, with the ability to navigate regulatory challenges, build strong relationships across business lines, and communicate effectively with senior leadership. Detail-oriented with a high level of integrity and ethical standard. Why choose us? We value optimism, caring, togetherness, reliability, and determination. We have more than 2600 employees worldwide: we are a global group of digital specialists, actuaries, marketers, doctors, nurses, case managers, claims specialists, finance experts and customer service professionals. We share a global mission to look after travelers, at every step of their journey. Job flexibility. We understand the importance of making sure that work fits into your life, not the other way around. Our hybrid approach ensures our employees maintain work-life balance with the flexibility of 3 days in the office and 2 days working from home. Career growth. This is an extremely exciting time for us at Zurich Cover-More, as we are rapidly growing our business around the world. We are dedicated to helping our employees reach their full potential through a comprehensive onboarding program, ongoing professional development opportunities and a supportive work environment that encourages growth. Take the time you need, for you and your community. We encourage you to take the time you need when you need it. We offer regular annual and personal leave benefits (everyone starts with 4 weeks) along with volunteer leave and a comprehensive paid parental leave scheme. Investing in your health and your future. We offer a competitive high deductible health plan, EAP programs and access to health and well-being activities along with 401(k) program with employer matching to help you plan for your future. Diversity and inclusion. We respect who you are and thoroughly embrace diversity. So whatever walk of life you wander, just be you and come as you are. Apply today and let's go great places together! Nearest Major Market: Manhattan Nearest Secondary Market: New York City

Location: 4910 Tiedeman Road - Brooklyn, Ohio 44144 Job Summary This role is responsible for supporting the Data Owners. The Data Owner is accountable for the data quality (DQ) and management, which entails implementing and adhering to applicable Enterprise Data and Analytics Management (ED&AM) standards. This accountability includes identifying, defining, maintaining, certifying, archiving, and disposing of data. Additionally, Data Owners are accountable to disposition any data observations, including observations resulting from CDE certification. The Data Analyst is responsible for the Data Quality dashboard reviews including triage and routing to a resolution team who is responsible for completing the work and rule updates. Ability to review and understand results, research, and resolution assignments. The team will be accountable for escalating to Data Owners of the insights and recommendations for resolution. Data Owner Team members are responsible for the implementation of standards and processes. They oversee and manage all data quality-related activities. Responsibilities Senior Analyst requires deep technical skills to understand the Data Quality rules, read and understand SQL, perform data research (ability to learn/understand the data in each platform and write/execute SQL to understand root cause of issues), and interface with data remediation teams to communicate research and assign work for resolution. Monitoring, triaging, resolution and escalation of data observations. Participate and support Critical Data Element (CDE) and Essential Data Element certification process. Understand Critical Uses, Inventory Essential Uses, Assess Compensating Controls, Inventory EDEs and Data Quality monitoring/triage. Autonomously complete all reports and research tasks assigned to ensure accurate and timely review and completion of actions required. Accountable to disposition any data observations, including observations resulting from CDE certification. Accountable that any Data observations are identified/ rectified/ resolved. Identify opportunities to improve the effectiveness and/or efficiency of policies, procedures and/or processes and make the appropriate recommendations to management. Qualifications Analytic & research skills including ability to organize information in clear, consistent format, Capacity to develop ability to articulate a clear, well-thought-out message and formal delivery, ability to build relationships, partner, and influence Ability to collaborate and work effectively with support partners Oral and written communication skills Data Analyst skills and Data Profiling skills SQL Skills (ability to implement and monitor data quality rule in DQ tooling and use SQL to profile and troubleshoot) Effective communicator at various Org levels. Requirements: Bachelor's degree (or its equivalent) in Data Analytics, Business Management, Finance, Economics, Engineering, Computer Science, Management Information Systems, or Statistics (or other related field) with at least 6 years of relevant experience or Master's degree (or its equivalent) in Data Analytics, Business Management, Finance, Economics, Engineering, Computer Science, Management Information Systems, or Statistics (or other related field) with at least 4 years of relevant experience Proficient in: Advanced Microsoft Excel / PowerPoint Intermediate/advanced query writing/coding including complex joins Intermediate/advanced data visualization Analytical programming languages Report and process automation Knowledge or Skill in: Source systems Process flow Project Management Navigation of data warehouse and/or data supply chain Expected Competencies Communication: Solid written and verbal communication skills; organizes material for brevity, persuasiveness, and impact; Effectively communicates key points to respective stakeholders, with the right amount of detail; Proactively shares information beyond those at the table who may have a need to know; Comfortable in situations where conflict is present; Demonstrated presentation development and delivery skills; Ability to create presentations that include the right data/information and tell the right story Leadership: Emerging leader across team; Serves as a role model - may coach and develop others; Provides direction / mentorship to junior staff Partnering / Influencing: Proven relationship building ability; Strong interpersonal skills; Can lead the conversation with business partners; Sought out to by business partners and team members; May coach and develop relationship building skills in others; Developing comfort with influencing and consulting typically with mid-level leaders Business Acumen: Understands assigned LOB strategy; Knows our industry, competition, and competitive environment; Possesses intellectual curiosity; Understands key drivers of financial results and business impact; Developing understanding of how business works Critical Thinking / Problem Solving: Leverages critical thinking and business acumen to provide solutions to increasingly more complex problems; Ties work with understanding of impacts / intersections with other business partners / LOB; Aware of potential pitfalls with each recommended solution; thoroughly vets and thinks through options before making a decision. This position is NOT eligible for employment visa sponsorship for non-U.S. citizens. COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $100,000 to $115,000 annually depending on location and job-related factors such as level of experience. Compensation for this role also includes eligibility for short-term incentive compensation and deferred incentive compensation subject to individual and company performance. Please click here for a list of benefits for which this position is eligible. Job Posting Expiration Date: 10/31/2025 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing HR_Compliance@keybank.com.

Overview: Securian has an amazing opportunity for someone that is curious, eager to learn, and excited to be part of an innovative team using data and technology to tackle business challenges. As a Senior Data Engineer you are part of a team that is responsible for designing, developing, and automating scalable data pipelines that power innovative Artificial Intelligence and analytic solutions. You will learn and grow to stay up to date with the latest trends and technologies in this dynamic data and analytics space. You will collaborate with a range of teams including Data Science, Data Platform, Data Management, Information Technology teams, and business partners to understand requirements, ensure data is trusted and accessible, and deliver creative solutions to business problems. Responsibilities include but not limited to: Lead the efforts to design, build, and optimize the creation of complex data pipelines and transformations enabling Artificial Intelligence, advanced analytics, and other enterprise use cases. Research, recommend, implement, and drive changes to evolve architecture and patterns to meet quickly changing data requirements. Collaborate with product managers, data scientists, machine learning engineers, technology teams and other stakeholders to understand requirements, prioritize tasks, and lead the delivery of data solutions that excite stakeholders and deliver business value. Mentor and consult with team members and provide leadership and direction to other areas to ensure best practices and optimal data solutions are implemented. Leverage data governance and data security tooling, processes, and principles to ensure data is secure, easy to find, trusted, and accessible. Devise technical solutions to drive business outcomes based on an understanding of customers, business processes and technical requirements. Qualifications: 4 year degree in Computer Science, related field, or equivalent industry experience Technical skills: 4+ years' experience with tools and concepts related to data and analytics, such as ETL, data storage options, data quality, working with structured and unstructured data. ANSI SQL Skills/Experience Cloud knowledge and experience- AWS preferred Programming experience- Python or Java preferred Soft skills: Strong problem solving and analytical abilities Solid communication skills Curiosity and willingness to learn Flexibly and adaptability #LI-hybrid This position will be in a hybrid working arrangement. Securian Financial believes in hybrid work as an integral part of our culture. Associates get the benefit of working both virtually and in our offices. If you're in a commutable distance (90 minutes) you'll join us 3 days each week in our offices to collaborate and build relationships. Our policy allows flexibility for the reality of business and personal schedules. The estimated base pay range for this job is: $84,000.00 - $155,000.00 Pay may vary depending on job-related factors and individual experience, skills, knowledge, etc. More information on base pay and incentive pay (if applicable) can be discussed with a member of the Securian Financial Talent Acquisition team. Be you. With us. At Securian Financial, we understand that attracting top talent means offering more than just a job - it means providing a rewarding and fulfilling career. As a valued member of our high-performing team, we want you to connect with your work, your relationships and your community. Enjoy our comprehensive range of benefits designed to enhance your professional growth, well-being and work-life balance, including the advantages listed here: Paid time off: We want you to take time off for what matters most to you. Our PTO program provides flexibility for associates to take meaningful time away from work to relax, recharge and spend time doing what's important to them. And Securian Financial rewards associates for their service by providing additional PTO the longer you stay at Securian. Leave programs: Securian's flexible leave programs allow time off from work for parental leave, caregiver leave for family members, bereavement and military leave. Holidays: Securian provides nine company paid holidays. Company-funded pension plan and a 401(k) retirement plan: Share in the success of our company. Securian's 401(k) company contribution is tied to our performance up to 10 percent of eligible earnings, with a target of 5 percent. The amount is based on company results compared to goals related to earnings, sales and service. Health insurance: From the first day of employment, associates and their eligible family members - including spouses, domestic partners and children - are eligible for medical, dental and vision coverage. Volunteer time: We know the importance of community. Through company-sponsored events, volunteer paid time off, a dollar-for-dollar matching gift program and more, we encourage you to support organizations important to you. Associate Resource Groups: Build connections, be yourself and develop meaningful relationships at work through associate-led ARGs. Dedicated groups focus on a variety of interests and affinities, including: Mental Wellness and Disability Pride at Securian Financial Securian Young Professionals Network Securian Multicultural Network Securian Women and Allies Network Servicemember Associate Resource Group For more information regarding Securian's benefits, please review our Benefits page. This information is not intended to explain all the provisions of coverage available under these plans. In all cases, the plan document dictates coverage and provisions. Securian Financial Group, Inc. does not discriminate based on race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, marital or familial status, pregnancy, disability, genetic information, political affiliation, veteran status, status in regard to public assistance or any other protected status. If you are a job seeker with a disability and require an accommodation to apply for one of our jobs, please contact us by email at Employment@Securian.com, by telephone 651-655-5522 (voice), or 711 (Relay/TTY). To view our privacy statement click here To view our legal statement click here

Application close date: Applications will be accepted on an ongoing basis until the requisition is closed. At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We're working to develop reusable, safe, and low-cost space vehicles and systems within a culture of safety, collaboration, and inclusion. Join our team of problem solvers as we add new chapters to the history of spaceflight! This role is part of the Blue Origin Engines business unit, where our focus is the design, development, manufacturing, and testing of engines and propulsion systems. Built for multiple uses, our family of engines is powering the next generation of rockets for commercial, civil, national security, and human spaceflight. As part of a hardworking team of specialists, you'll contribute to the development of Blue Origin's data strategy, and help design, test, and deploy standard processes for teams working on advanced data science problems. This role requires a passion for our mission and vision, and will focus on driving emerging technology and data practices to the business, specifically within the domain of generative AI applications. We are looking for someone to apply their technical expertise, leadership skills, and commitment to quality to positively impact safe human spaceflight. Passion for our mission and vision is required! Safety is our utmost priority, and we are dedicated to creating a supportive environment where everyone can thrive. Join us in making space accessible and enabling millions of people to live and work in space, for the benefit of Earth. This position is open to be filled in our Kent, WA location. Become part of a team where your contributions will not only further your own career but also directly advance the frontiers of space exploration Key Responsibilities: Work with Engine's AI Strategist to drive end-to-end project lifecycle for generative AI applications: develop relationships with customers, and collaborate with developers and business partners across the enterprise. Develop and implement machine learning, AI, and computer vision solutions using real-world data to solve complex problems. Own Physics-based Signal Processing Tool Development, Maintenance, and Support Write production code that implements NLP and LLM models and algorithms, ensuring high quality, scalability, and reliability. Advocate and work with partners to align the AI strategy for AI/ML adoption Research, identify, assess, and validate emerging technologies to increase the team's ML and AI capabilities. Own the data science, AI/ML strategy for Engines Partner with stakeholders to deliver Data Science products and collaborate with customers to understand business problems and explain technical solutions. Work in an agile environment to deliver fast-paced solutions that meet the needs of the business. Maintain technical responsibility, aid colleagues, and resolve technical issues through collaboration. Qualifications: BA/BS in computer science, information science, data science, or a related field with 8+ years of experience; 5+ years in data science, or 3+ years hands-on experience with computer vision models. Proven proficiency with Python, Spark, common data science libraries, and deep learning frameworks (e.g., PyTorch, Keras, TensorFlow, OpenCV). Experience with AWS services (e.g., SageMaker, Bedrock, EMR, S3, Step Functions, Lambda, EC2, Redshift, Glue, Batch, Elasticsearch). Solid understanding of statistical and machine learning (ML) techniques; experience with supervised, unsupervised, generative, semi-supervised, self-supervised modeling approaches. Ability to deploy solutions using tools such as GitLab, Docker, Kubernetes, and familiarity with visualization tools like Plotly/Dash, Javascript/D3/Go.js, and Streamlit. Comfortable working with both structured and unstructured data; experience with SQL, REST APIs, and custom scripting. Effective communicator capable of engaging and building trust with senior executives. Desired Qualifications: Masters or PhD in CS, Physics, Math, Engineering, or other STEM fields. Experience productizing vision-based models, time-series big-data processing, and applying advanced ML algorithms for anomaly detection. Familiarity with large language models (LLM), pre-training/fine-tuning techniques, and the open-source community (e.g., HuggingFace, StableDiffusion). Expertise in sophisticated model selection, hyper-parameter tuning, explainability techniques in deep learning models. Experience with fastapi/flask for model deployment and building visualizations. Track record of innovative literature research to develop novel Data Science applications. Experience with network/graph analysis, crafting visualizations, and Gurobi with LP/IP program optimization models. Compensation Range for: WA applicants is $137,049.00-$191,868.60 Other site ranges may differ Culture Statement Don't meet all desired requirements? Studies have shown that some people are less likely to apply to jobs unless they meet every single desired qualification. At Blue Origin, we are dedicated to building an authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every desired qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Export Control Regulations Applicants for employment at Blue Origin must be a U.S. citizen or national, U.S. permanent resident (i.e. current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Background Check Required for all positions: Blue's Standard Background Check Required for Certain Job Profiles: Defense Biometric Identification System (DBIDS) background check if at any time the role requires one to be on a military installation Required for Certain Job Profiles: Drivers who operate Commercial Motor Vehicles with a Gross Vehicle Weight (GVW), Gross Vehicle Weight Rating (GVWR) or combination of power unit and trailer that meets or exceeds 10,001 lbs. and/or transports placardable amounts of hazardous materials by ground in any vehicle on a public road while in commerce, may be subject to additional Federal Motor Carrier Safety Regulations including: Driver Qualification Files, Medical Certification (obtained before onboarding), Road Test, Hours of Service, Drug and Alcohol Testing (CDL drivers only), vehicle inspection requirements, CDL requirements (if applicable) and hazardous materials transportation/shipping training. Required for certain Job Profiles: Ability to obtain and maintain Merchant Mariner Credential, which includes pre-employment and random drug testing as well as DOT physical Benefits Benefits include: Medical, dental, vision, basic and supplemental life insurance, paid parental leave, short and long-term disability, 401(k) with a company match of up to 5%, and an Education Support Program. Paid Time Off: Up to four (4) weeks per year based on weekly scheduled hours, and up to 14 company-paid holidays. Discretionary bonus: Bonuses are designed to reward individual contributions as well as allow employees to share in company results. Eligibility for benefits varies by role type, please check with your recruiter for a comprehensive list of the benefits available for this role. Equal Employment Opportunity Blue Origin is proud to be an Equal Opportunity/Affirmative Action Employer and is committed to attracting, retaining, and developing a highly qualified and dedicated work force. Blue Origin hires and promotes people on the basis of their qualifications, performance, and abilities. We support the establishment and maintenance of a workplace that fosters trust, equality, and teamwork. We provide all qualified applicants for employment and employees with equal opportunities for hire, promotion, and other terms and conditions of employment, regardless of their race, color, religion, sex, sexual orientation, gender identity, national origin/ethnicity, age, physical or mental disability, genetic factors, military/veteran status, or any other status or characteristic protected by federal, state, and/or local law. Blue Origin will consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state, and local laws, including the Washington Fair Chance Act, the California Fair Chance Act, the Los Angeles Fair Chance in Hiring Ordinance, and other applicable laws. For more information on "Know Your Rights," please see here. Affirmative Action and Disability Accommodation Applicants wishing to receive information on Blue Origin's Affirmative Action Plans, or applicants requiring a reasonable accommodation in order to participate in the application and/or interview process, please contact us at EEOCompliance@blueorigin.com. Please note this is a publicly managed inbox. Please do not include any personal medical information in your request. California Applicant Privacy Notice If you are a California resident, please reference the CA Applicant Privacy Notice here.

Industry/Sector Technology Specialism Data, Analytics & AI Management Level Senior Manager Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Craft and convey clear, impactful and engaging messages that tell a holistic story. Apply systems thinking to identify underlying problems and/or opportunities. Validate outcomes with clients, share alternative perspectives, and act on client feedback. Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations. Deepen and evolve your expertise with a focus on staying relevant. Initiate open and honest coaching conversations at all levels. Make difficult decisions and take action to resolve issues hindering team effectiveness. Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Minimum Degree Required Bachelor's Degree Minimum Year(s) of Experience 8 year(s) Certification(s) Required GCP Professional Cloud Architect, GCP Data Engineer QuickBase App Builder Certification and/ or QuickBase Expert Builder Certification Preferred Qualifications Certification(s) Preferred Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate Preferred Knowledge/Skills Demonstrates in-depth abilities and/or success in one or many of the following areas: Designing and implementing comprehensive data architecture strategies that meet current and future business needs using Google Cloud services; Developing and documenting data models, data flow diagrams, and data architecture guidelines; Assessing that data architecture is compliant with data governance and data security policies; Collaborating with business stakeholders to understand their data requirements and translate them into technical solutions leveraging Google Cloud and Google eco-system solutions; Evaluating and recommending new data technologies and tools to enhance data architecture; Evaluating data and technology architecture options and build case for change across architecture principles like Security, Reliability, Scalability, Maintainability, Automation and Cost management; Developing leading practices and perspectives for Data Engineering, Data Science, and Data Governance and Data Management; Leading the implementation of GCP based solutions, ensuring they meet the specified requirements and best practices across batch, real-time, structured, semi-structured and unstructured datasets; Architecting, designing, building and optimizing ETL/ELT pipelines for data ingestion, processing, and storage; Developing and deploying scalable data storage solutions using GCP services; Architecting, designing, and implementing scalable data pipelines and workflows using GCP tools like Dataflow, Dataprep, Data Fusion, BigQuery, and Cloud Composer, ensuring robust data integration, transformation, and analytics capabilities with advanced BI platforms such as Looker and/ or Tableau; Designing, implementing, and managing workflows using low-code/no-code platforms like Quickbase and /or Pega to streamline processes, integrate with enterprise systems, and build scalable, automation-driven applications; Architecting, designing and implementing data warehouses and data lakes, ensuring data is organized and accessible; Developing frameworks for monitoring and troubleshooting data pipelines, data warehouses and workflows to ensure data quality, system reliability, performance and cost management; Architecting and overseeing implementation of IAM roles and policies to manage access and permissions within GCP; Developing automation strategies leveraging Terraform for infrastructure as code (IaC) deployments; Architecting and implementing services using GCP DevOps services to build and deploy DevOps pipelines; Developing data security industry standard practices using GCP; Optimizing Cloud resources for cost, performance, and scalability; Demonstrating strong proficiency in SQL and experience with relational databases; Familiarity with big data technologies like Hadoop, Spark, or Kafka is a plus; Experience with machine learning and data science workflows is a plus; Knowledge of data governance and data security industry practices; Possessing strong analytical, problem-solving, and communication skill; and, Working independently and as part of a team in a fast-paced environment. Demonstrates in-depth level abilities with, and/or a proven record of success directing efforts in the following areas: Applying modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures; Collaborating and contributing as a team member: understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback; Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment; Research emerging trends, analyzing publications, and adopting modern technologies in solution architectures; and, Coaching and collaborating with associates who assist with this work, including providing coaching, feedback, and guidance on work performance. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $124,000 - $280,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

We know a lot about investing and are certain there's no better investment a company can make than in its employees. People don't just drive a company; they are the company. So when people work at their best, companies do too. Morgan Stanley at Work, a division of Morgan Stanley Wealth Management, provides workplace financial solutions that build employee financial confidence, foster loyalty and help our corporate clients attract and retain top talent. Our end-to-end offering spans Equity, Financial Wellness, Non-Qualified Deferred Compensation and Retirement Solutions. Plus, we provide all employees with Financial Empowerment, so they have the knowledge, tools and support needed to make the most of their workplace financial benefits. What you'll be part of - our Morgan Stanley at Work culture: At Morgan Stanley at Work, we walk the talk. We have created a place for our employees to learn, achieve and grow - a place for people to build a career where you can thrive both personally and professionally. We are passionate about exceeding our clients' expectations and helping them succeed. We are fearless in taking on new challenges that deliver exceptional results. We believe amazing things can happen when we work together in an environment where everybody has a true sense of belonging and their ideas are heard. We value differences and are committed to providing a work environment where our people can do their best work. We look for people who are problem solvers, empathetic listeners, team players and inclusive leaders. We are committed to your growth and development, and your entire employee experience. We recognize that our people and culture are the keys to our success. We invite you to explore how you can be an integral part of our team. Within Morgan Stanley at Work Shareworks, Equity Edge Online (EEO), and Global Intelligence are key offerings within our Equity Solutions pillar. These offerings combine cutting-edge technology, outstanding client service, streamlined administration, and global plan management. Data Architect Migration Specialist role: The Data Architect Migration Specialist will play a pivotal role in the Global Onboarding Core Platform Transformation organization. The role is responsible for managing end-to-end projects for corporate clients and internal partners, focusing on operational support across equity administration platforms (EEO and Shareworks). Reporting to a Data Solutions Manager, the Data Architect Migration Specialist ensures efficient and accurate execution of various projects (dependent on team services): integration, data conversion, process management, administration, or execution of assigned clients' equity compensation programs. The role will require rapid understanding of each client's equity compensation plans to provide best-in-class services while on assignment. The ideal candidate is technically proficient and possesses strong project management, advanced data analytical and communication skills. They excel in building relationships with clients, colleagues, and stakeholders, driving successful project outcomes and contributing to process enhancement and product development. With a focus on adaptability and continuous improvement, the Migration Specialist thrives in a fast-paced environment and takes ownership of their responsibilities to ensure client success and satisfaction. Stock Plan Data Migration Specialist Responsibilities The successful candidate should have a combination of strategic and tactical problem-solving skills, be a self-starter and have strong technical experience with a proven track record of achieving success in a fast-paced, results-driven organization. Assist in the execution of data conversion projects both in the public and private sectors to convert from a competitor's platform into Morgan Stanley's equity administration platforms Lead assigned projects, ensuring timely completion of project deliverables Build and maintain strong client relationships through positive interactions during project engagements Collaborate closely with various stakeholders, including Sales and Marketing, Relationship Management, Client Services, Operations, Product, and Technology, to ensure client satisfaction on all projects Partner with internal project leads and product managers to develop solutions that improve efficiency, reduce time spent on repetitive tasks, and address complex client issues Perform data analysis and complex reconciliations of data throughout the project lifecycle Qualifications Bachelor's degree required in business/finance or technology, computer science or related computer science experience is preferred 3+ years of experience in data management within business consulting or equity compensation administration Strong preference for expertise and hands-on experience with advanced ETL technologies, Robotics Process Automation, UiPath, Generative AI, Python, Dataiku or other database management software Ability to proactively identify potential risks and issues, and develop effective solutions Strong teamwork skills with the ability to problem-solve, learn quickly, share knowledge, multitask and adapt to constantly changing priorities Working knowledge of equity-related accounting, tax, and legal concepts, both in the US and globally, is strongly preferred Proven success in developing innovative solutions to complex client needs Level 1 CEP certification is preferred but not required Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees. It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law. Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet). WHAT YOU CAN EXPECT FROM MORGAN STANLEY: We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees. It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law. Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).

Scheduled Hours 40 Position Summary This position is responsible for survey creation, programming, data extraction, reviewing and organizing data for reports and presentations, and supporting data collection and management for various institutional needs. The position requires the coordination of various activities in support of organizational need, including scheduling of meetings, maintenance of standard operating procedure manuals, organization of unit documents and materials, and the usage of project management software. At times, this position may function as an honest broker for educational scholarship, research projects and will contribute to continuous quality improvement initiatives, including support of accreditation. The ideal candidate will exhibit a positive and collaborative attitude, will be diligent in meeting deadlines and will contribute to the goals and missions of the unit, the Office of Education, and WashU Medicine. This position will work a hybrid schedule, with required work on the WashU Medicine campus on an ad hoc basis to meet unit and Office of Education needs. Job Description Primary Duties & Responsibilities: Co-create, program, and extract survey data for program evaluation and scholarship efforts using survey software. Conducts basic quantitative and qualitative data analysis, including descriptive statistics, thematic analysis, and other forms of basic analysis necessary to meet organizational needs. Collect, review, deidentify, and distribute evaluation data to appropriate partners. Create reports and presentations for various initiatives and partners within the Office of Education. Acts as an honest broker in alignment with IRB regulations and processes in support of educational scholarship Coordinate and organize unit activities including scheduling unit related meetings, room reservations, maintenance of documents and manuals, survey completion incentives, and other tasks as assigned to ensure processes and the unit's functions are executed efficiently and effectively. Perform other duties as assigned. The above statements are intended to describe the general nature and level of work performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all job duties performed by the personnel so classified. Management reserves the right to revise or amend duties at any time. Required Qualifications Education: Bachelor's degree or combination of education and/or experience may substitute for minimum education. Certifications: No specific certification is required for this position. Work Experience: No specific work experience is required for this position. Skills: Not Applicable Driver's License: A driver's license is not required for this position. More About This Job WashU seeks highly motivated individuals who are able to perform duties in a manner consistent with our core mission and guiding principles. Preferred Qualifications Education: No additional education unless stated elsewhere in the job posting. Certifications: No additional certification unless stated elsewhere in the job posting. Work Experience: Relevant Experience (3 Years) Skills: Communication, Data Analysis, Data Management, Learning Quickly, Microsoft Office, Scheduling, Teamwork, Workplace Organization Grade G09-H Salary Range $23.37 - $36.19 / Hourly The salary range reflects base salaries paid for positions in a given job grade across the University. Individual rates within the range will be determined by factors including one's qualifications and performance, equity with others in the department, market rates for positions within the same grade and department budget. Questions For frequently asked questions about the application process, please refer to our External Applicant FAQ. Accommodation If you are unable to use our online application system and would like an accommodation, please email CandidateQuestions@wustl.edu or call the dedicated accommodation inquiry number at 314-935-1149 and leave a voicemail with the nature of your request. All qualified individuals must be able to perform the essential functions of the position satisfactorily and, if requested, reasonable accommodations will be made to enable employees with disabilities to perform the essential functions of their job, absent undue hardship. Pre-Employment Screening All external candidates receiving an offer for employment will be required to submit to pre-employment screening for this position. The screenings will include criminal background check and, as applicable for the position, other background checks, drug screen, an employment and education or licensure/certification verification, physical examination, certain vaccinations and/or governmental registry checks. All offers are contingent upon successful completion of required screening. Benefits Statement Personal Up to 22 days of vacation, 10 recognized holidays, and sick time. Competitive health insurance packages with priority appointments and lower copays/coinsurance. Take advantage of our free Metro transit U-Pass for eligible employees. WashU provides eligible employees with a defined contribution (403(b)) Retirement Savings Plan, which combines employee contributions and university contributions starting at 7%. Wellness Wellness challenges, annual health screenings, mental health resources, mindfulness programs and courses, employee assistance program (EAP), financial resources, access to dietitians, and more! Family We offer 4 weeks of caregiver leave to bond with your new child. Family care resources are also available for your continued childcare needs. Need adult care? We've got you covered. WashU covers the cost of tuition for you and your family, including dependent undergraduate-level college tuition up to 100% at WashU and 40% elsewhere after seven years with us. For policies, detailed benefits, and eligibility, please visit: https://hr.wustl.edu/benefits/ EEO Statement Washington University in St. Louis is committed to the principles and practices of equal employment opportunity and especially encourages applications by those from underrepresented groups. It is the University's policy to provide equal opportunity and access to persons in all job titles without regard to race, ethnicity, color, national origin, age, religion, sex, sexual orientation, gender identity or expression, disability, protected veteran status, or genetic information. Washington University is dedicated to building a community of individuals who are committed to contributing to an inclusive environment - fostering respect for all and welcoming individuals from diverse backgrounds, experiences and perspectives. Individuals with a commitment to these values are encouraged to apply.

About Us Twitch is the world's biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day. We're about community, inside and out. You'll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We're on a quest to empower live communities, so if this sounds good to you, see what we're up to on LinkedIn and X, and discover the projects we're solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process. About the Team Twitch is all about community, and our Community Team is a core pillar of what makes Twitch, Twitch. Teams within Community are responsible for a myriad of product areas impacting the creator, viewer, and moderator journeys on our platform. As a member of our team, you'll build solutions that improve the experience of millions of daily active users on our platform and create tools that keep both streamers and viewers engaged and connected on our platform. Trust & Safety is at the core of our efforts to keep Twitch a welcoming and safe place for people to build safe and inclusive communities that enable diverse, global creators to flourish. Safety is central to everything else happening on Twitch. Safer communities are empowered communities, and they create the one-of-a-kind moments, experiences, and friendships that make Twitch so special. About the Role As Twitch continues to grow and evolve in a dynamic policy and regulatory landscape, ensuring a safe and trusted user experience is critical. In this senior data science role on our Safety Data Science team, you'll help drive our strategy for building smarter, more automated safety operations. You'll play a key role in shaping how we use data and technology to enhance transparency, reduce manual workflows, and protect our most at-risk users. This is a highly collaborative and strategic role that combines deep analytical thinking with operational impact-and your work will be central to making Twitch a safer and more resilient platform. We're looking for someone who is passionate about data governance and deeply motivated to build self-service, scalable data solutions that enable teams to move faster with greater confidence. You Will: Tackle ambiguous, high-impact problems by defining analytical approaches grounded in statistics, computer science, and deep domain expertise-driving clarity, innovation, and durable solutions at scale. Lead efforts to improve data governance and data quality, ensuring the right structures, documentation, and controls are in place to support safety-critical decision-making. Design and implement self-service data tools, pipelines, and frameworks that empower cross-functional teams to access and use high-quality data independently. Respond quickly and thoughtfully to urgent safety incidents, providing analytical clarity and decision support in high-stakes, time-sensitive situations. Collaborate with product, engineering, and operations teams to design durable systems that support proactive safety efforts and reduce reliance on manual interventions. Own the development and delivery of transparency reporting, including defining meaningful metrics, shaping external narratives, and advising internal stakeholders. Become a key thought partner in shaping safety product experiences, providing data-backed insights to support more secure and engaging interactions across the platform. Foster a culture of analytical rigor, clear communication, and shared accountability for impact across cross-functional teams. You Have: BA/BS in Operations Research, Analytics, Data Science, Computer Science, Mathematics, or equivalent industry experience 5+ years of experience as a data scientist or data analyst in a high velocity, data-driven environment 5+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience Expert SQL skills and proficiency in Python/R Experience using data to create insight, drive business decisions and influence leadership Bonus Points MS/MA or higher in Operations Research, Analytics, Data Science, Computer Science, Mathematics, or a related technical field Experience in a data science team working on Trust & Safety, analytics, and insights Experience working with operations data and developing automation solutions to improve operational efficiency Experience working with software development and operational event data Familiarity with Twitch, either as a viewer or creator (or both!) Perks Medical, Dental, Vision & Disability Insurance 401(k) Maternity & Parental Leave Flexible PTO Amazon Employee Discount Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Job ID: TW8874 Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from our lowest geographic market up to our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. This position will remain open until filled. For more information, please visit https://www.twitch.tv/jobs/en/#learn-more . Applicants should apply via our internal or external career site. US Pay Per Year $143,300-$247,600 USD Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Twitch values your privacy. Please consult our Candidate Privacy Notice, for information about how we collect, use, and disclose personal information of our candidates.

We are a Firm where people truly believe in what they do and strive to achieve the highest standards of performance and success. This position can be based in our global operations center in Tampa, FL, or at one of the Firm's offices: Atlanta, Austin, Chicago, Dallas, Houston, Jacksonville, Orlando, or Miami. General Description: The Manager of Applied AI and Data Sciences is responsible for the development and management of the Firm's applied data sciences and artificial intelligence (AI) tools, projects and engagements, and related processes. This role contributes to the implementation and on-going support of the firm's investments and partnerships to develop and scale data sciences and AI tools to our lawyers and business departments. The Manager collaborates closely with our technology, knowledge, business services, and practice teams to assess data sciences and AI needs, develop and communicate plans for implementation, develop and support the firm's AI custom solutions, execute technical implementation of data sciences and AI applications, and provide ongoing service, support, and planning for continued enhancements and user engagement. This role within our Data Strategy team will partner closely with the Information Technology department and Knowledge & Innovation teams in the development and delivery of the firm's innovative AI solutions. This role contributes to digital transformation programs, provides technical and business process support, and serves as the primary contact for internal resources, such as the Information Technology department, as well as external resources including vendors and consultants. While maintaining a practice in data sciences and AI development, provide technical leadership on external project engagement and internal product evaluations. In this hybrid position, you will have the opportunity to collaborate with colleagues both in person and virtually. Key Responsibilities and Essential Job Functions: Oversee the design, development, and maintenance of the applied data sciences and AI program, including inception-to-adoption of the firm's custom AI solutions and projects. Support the custom development and implementation of proprietary Machine Learning, LLM and AI enabled products, including the selection and engagement of solutions partners, development of grounding, RAG, vectorizing, and related technical protocols and procedures. Support with use-case evaluation and product design and implementation. Build cross-functional relationships with software engineers, solutions engineers, and other business stakeholders to collaboratively create solutions, development standards, and support business processes. Provide technical leadership and strategic direction to align data sciences initiatives with business objectives. Develop and mentor technology and innovation staff throughout the firm on emerging data sciences and AI trends and key issues. Partner with IT staff, vendors, and other third parties to address system-level technical issues, manage internal and external integrations, and implement upgrades and enhancements. Establish standard metrics reporting and analyze trends to measure the quality and quantity of data used within, and developed by, data sciences and AI tools. Partner closely with the firm's change teams to ensure adoption and ongoing enhancements to the platforms. Develop configuration documentation and related guides for data consumers. Collaborate to design end-user training, onboarding, and user adoption programs and communications. Along with our KM and IT teams, this role will consult on the evaluation of vendor products for interoperability, security, and functionality. Special projects and duties as assigned. Required Skills: Expert coding skills in Python. Proficiency in Databricks, SQL, Apache Spark, Microsoft Azure Data Factory, Microsoft Fabric, and related products and platforms. Proficiency in common AI and ML applications, data mining and statistical tools and techniques, scripting, and programming experience required. Experience building LLM workflows using cloud services such as Azure, Google Cloud, and AWS. Proficiency in GenAI, LLM fine-tuning, knowledge graphs and reinforcement learning. Excellent experience in people management skills. Excellent written and verbal communication skills. Excellent organizational, teamwork, customer service and critical thinking skills required. Required Qualifications & Education: Bachelor's degree in relevant field. 10+ years of experience in a law firm, corporate legal department, or professional services environment. 5+ years of experience managing and leading data sciences and applied AI teams. Excellent proficiency in data warehousing, application development, and data visualization. Strong understanding of legal technology, including trends, tools, and industry standards. Deep understanding of law firm business practices, as well as practice-specific terminology. Experience working with a broad array of legal practices. Proficiency with cybersecurity best practices and compliance requirements in the legal industry and for clients such as financial and governmental institutions. Ability to develop effective and collaborative relationships among business teams, lawyers, firm administrative departments, and vendors. Champion for change management, process improvement, user adoption, and the constant evolution of complex data strategies and needs. Demonstrated ability to manage multiple complex assignments with competing deadlines and priorities. Preferred Qualifications & Education: Master's or related coursework or certifications strongly preferred. Physical Requirements: Ability to sit or stand for extended periods of time. Moderate or advanced keyboard usage. This position may be filled in Illinois. The base salary range for this position in this location is $138,000 - $207,000/yr. This range may not be applicable to other locations. An individual's actual compensation will depend on the individual's qualifications and experience. In addition to the base compensation, Holland & Knight provides bonus opportunities and an exceptional benefits package. Benefits: Our goal is to promote a work environment in which individuals have access to the resources they need to be their best both professionally and personally, which includes resources that encourage individuals to focus on their health and well-being. Below is a list of just some of the benefits we offer: comprehensive medical (PPO and HDHPs), dental and vision plans including coverage for domestic partners; life and AD&D insurance; short and long term disability insurance; tax-advantaged accounts for health care expenses, including FSAs and HSAs; FSAs for dependent care; health advocacy services; behavioral health and counseling resources for all family members; 401(k); profit sharing; pre-tax transit and parking program; backup dependent care; senior care planning support; resources for individuals with development disabilities and their caregivers; and paid holidays and other paid time off, including paid leave for new parents. Benefits may vary by position and office. Holland & Knight is an Equal Opportunity Employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth or related conditions, transgender status, and sexual orientation), national origin, age, disability, genetic information, veteran status or any other factor prohibited by law. Personal Information collected from applicants will be used for the purpose of processing the application throughout any recruitment or employment process, as well as inclusion in a personnel file. Categories of data collected may include name, address, phone numbers, email, Social Security Number, and signature. Holland & Knight may collect further information if you consent to a background check. This includes criminal background, employment, and certifications. Please visit Legal Information Portal for Holland & Knight LLP's privacy policies.

At ProMach, we're looking for people who want to shine. You'll have opportunities to take your career in the direction you want. You can be creative. Strategic. Persuasive. Influential. Mechanical marvel. Customer service authority. Meticulous. A closer. A futurist. You'll be challenged and rewarded. Improve our customers' packaging performance and efficiency every day. Help build the future of packaging automation. We're proud of that and hope you will be too. Do we have your attention? Keep reading. ProMach is seeking an experienced and strategic Lead Data Analyst to drive complex analytical initiatives across the organization. This role requires a blend of hands-on data analysis, stakeholder engagement, and technical leadership. The ideal candidate has strong experience with Databricks, relational databases, ERP and CRM data, large-scale data migrations, and BI reporting from diverse systems. Excellent communication skills and the ability to collaborate with users at all levels are essential, as is a passion for transforming data into actionable business insights. As a Lead Data Analyst at ProMach, you'll be working across a complex data ecosystem that includes 45+ ERP systems, hundreds of databases, and multi-terabyte data environments. Your work will shape key business decisions in finance, operations, and supply chain by transforming fragmented data into powerful dashboards, insights, and narratives. Do you enjoy this work? Lead end-to-end analytics projects, from discovery through data modeling, analysis, and dashboard delivery. Collaborate with business leaders across departments (Finance, Operations, Marketing, Supply Chain) to define analytical needs and deliver actionable insights. Gather business requirements through interviews, workshops, and iterative feedback sessions with stakeholders at all levels of the organization. Design, build, and maintain dashboards, KPIs, and reports integrating data from ERP, CRM, and other operational systems. Write complex SQL queries and develop reusable data models, metrics logic, and transformations to power business intelligence. Use Databricks, relational databases, and other analytics platforms to explore and prepare large datasets for analysis. Lead or support data migration efforts across ERP/CRM platforms to ensure consistency, integrity, and minimal business disruption. Validate data accuracy and collaborate with data engineers to address pipeline, transformation, and governance issues. Mentor junior analysts on tools, methods, best practices, and business communication. Champion a culture of data literacy and promote high standards in reporting, analysis, and cross-functional collaboration. What's in it for you? There's no monopoly on good ideas or limits to how far you can advance with our team. We offer an open, communicative environment that fosters individual initiative. We pride ourselves in being a company where people are happy and choose to build a career. In addition to growth opportunities, as a ProMach employee, you receive more than just a paycheck. Total compensation includes your salary, comprehensive medical/dental programs, as well as life insurance, a generous paid time off program, and a retirement savings plan with a company match. And because we understand the importance of feeling protected, there is no waiting period for benefits - you are eligible on your first day of employment! If this sounds like you, we want to connect! Required: Bachelor's or Master's degree in a quantitative or analytical field such as Statistics, Mathematics, Computer Science, Information Systems, or Business Analytics. 5+ years of experience in data analytics, business intelligence, or data science roles, including 1-2 years in a lead or senior-level capacity. Advanced proficiency in SQL and experience working with large, complex datasets from multiple systems. Hands-on experience with relational databases (e.g., SQL Server, PostgreSQL) and ERP/CRM systems such as SAP, Oracle, SyteLine, or Salesforce. Experience designing and developing dashboards, KPIs, and reports that clearly communicate actionable insights. Strong communication skills and ability to work effectively with technical teams, business users, and executive stakeholders. Proven experience with requirement gathering, validation, and iterative BI development in a cross-functional setting. Ability to manage and prioritize projects across multiple stakeholders with varying levels of data literacy. Ability to travel up to 20% Preferred: Experience using Databricks SQL, Delta Lake, or cloud-based data platforms to prepare and analyze large datasets. Experience working on data migration projects involving ERP or CRM platforms. Familiarity with data governance, data quality validation, and metadata documentation. Knowledge of dimensional modeling and BI architecture best practices. Proficiency with visualization tools such as Power BI, Tableau, or equivalent. Familiarity with Agile environments and collaboration using tools like Jira, Confluence, or Git is a plus. Pro Mach, Inc. was named to the Inc. 5,000 list of the fastest growing private companies in the U.S. seven times. We continue to introduce innovative products, enter new markets, expand our global presence, and actively acquire new capabilities. We have the rewards, opportunities, and the market strengths of a large organization combined with the entrepreneurial culture of a small, fast-paced company. You will enjoy the benefits of working with a growing company that competes globally, with the personal touch and feel of a smaller company where you can make an impact every day. Curious about life at ProMach? Follow us on LinkedIn, Twitter, and Instagram! Pro Mach is an Equal Opportunity Employer. Pro Mach uses E-Verify to verify employment eligibility of all new hires to work in the United States. Pro Mach is a drug-free workplace. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are building innovative server systems for GPU accelerated applications, such as Deep Learning. As a Senior Software Engineer - Data Center System Bringup, you will play a crucial role in our innovative team, leading the software and firmware debug and bringup efforts of our powerful server systems like HGX, DGX and MGX. We are looking for Senior Firmware / System Software engineers who would closely work with our CSP partners to bringup and stabilize their new server systems. This is an outstanding chance to collaborate with exceptional professionals on groundbreaking technology that pushes the limits of what can be achieved. What you'll be doing: Spearhead the debug, bringup, and triage of bugs during the CSP's server system bringup. Collaborate closely with matrix teams to work on firmware and software across the entire stack. Work directly with major customers to solve complex technical issues. Refine and stabilize solutions that ensure flawless integration of server products in large scale data centers and improve performance and reliability of our data center systems. Work closely with product experience and documentation teams to ensure true customer delight. What we need to see: Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field, or equivalent experience. Demonstrated ability in system bringup, debugging, and handling complex hardware and software issues with 7+ years in the area of system software or firmware areas. Outstanding skills in firmware and software development with a deep understanding of end-to-end stack and server system architecture. Expertise in Out of Band and In-band management architectures. Strong ability to collaborate and communicate effectively within a diverse team of engineers. A track record of delivering high-quality, innovative solutions in a fast-paced, dynamic environment. Ways to stand out from the crowd: Strong background in device management protocols such as Redfish, IPMI, PLDM. In depth understanding of PCIE, memory management or networking stack. NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. Our invention serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for great people like you to help us accelerate the next wave of artificial intelligence. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until October 8, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

The Principal Data Scientist will support Tendo analytics projects focused on quality management and risk adjustment. The person in this role will access data from multiple sources (public and private) and translate it into information that is meaningful and actionable for health systems. The Principal Data Scientist develops, maintains, and enhances predictive models that improve products in several areas including, but not limited to quality, risk, and operational efficiency. We're looking for someone who brings an AI-native mindset, has hands-on experience applying AI or machine learning to real-world problems, and is passionate about exploring how emerging AI capabilities can improve healthcare delivery and outcomes. In addition, the Principal Data Scientist will also have the opportunity to ask novel, data-driven questions and drive new analyses. About Tendo Make an impact-join our team! We're a fast-growing, mission-driven company building a culture that enables teams and individuals to thrive. Our team-driven culture and rapid growth have earned us recognition as one of Forbes' Top Startup Employers for both 2024 and 2025. Led by an experienced and proven team, we live by our values and are always on the hunt for motivated people with diverse experiences and backgrounds to help us improve the care journey for patients, clinicians, and caregivers by creating software that provides seamless, intuitive, and user-friendly experiences. If you like working with innovative technologies and want to be part of a growing team that will help transform the healthcare experience, we encourage you to apply today! Job Location Tendo has hubs in San Francisco, CA; San Diego, CA; Salt Lake City, UT; Chicago, IL; Nashville, TN; and Philadelphia, PA. Candidates may be located in any one of our hub locations. Responsibilities Analyze data from multiple databases to drive optimization and improvement of quality outcomes, resource utilization, and risk adjustment. Develop custom data models and algorithms to apply to data sets. Use predictive modeling to increase and optimize patient outcomes, patient experiences, risk adjustment opportunities, and other business outcomes. Explore and experiment with emerging AI technologies to evaluate their applicability in solving healthcare problems and improving operational workflows. Develop analytic data sets and use statistical software to analyze data sets as requested. Use third party software tools in the development of queries and visualizations. Coordinate with different functional teams to implement models and monitor outcomes. Requirements Bachelor's degree in data science, statistics, epidemiology, engineering, information science, computer science, OR equivalent technical experience. Hands-on experience writing Python code including, but not limited to, machine learning, data science and engineering, and ETL pipelines. 7+ years of experience in data analysis software, with data science experience preferred. 7+ years of experience with GitHub/Git, Python, SQL, statistics, and ML modeling. Track record of applying AI or ML models to solve practical, real-world problems-ideally in healthcare or similar complex domains. Knowledge of statistical concepts and data mining methods such as: Hypothesis testing (or A/B testing), distribution analysis, Bayesian estimation, Linear and Logistic Regression, GLMs, text mining, time series analysis, etc. Knowledge of a variety of traditional machine learning techniques such as: feature engineering methods for large scale numerical and categorical data, dimensionality reduction, clustering, Decision Trees/Random Forests/Gradient Boosted Decision Trees, Deep Learning. Knowledge of machine learning implementation strategies such as: proper and thorough evaluation of ML models in production, detecting data/covariate/concept drift, leveraging feature stores and model registries, deploying models as REST APIs, integrating models into products, etc. Interest in staying current on AI advancements (e.g., generative AI, LLMs, foundation models), and enthusiasm for integrating new capabilities into analytical workflows. Demonstrated proficiency in writing SQL queries on large, complex datasets for data analysis and analytics engineering. Strong problem-solving skills with an emphasis on data analytics. Excellent written and verbal communication skills for coordinating across teams. Nice to Have Experience in the healthcare setting preferred. Experience with Epic EMR data preferred, but not required. Experience with healthcare financials/claims preferred, but not required. Base Salary Range $157,250-$212,750 This salary range is offered with the understanding that final compensation is based on a number of factors including geography and experience. Tendo also offers an equity package, annual bonuses, and benefits. Benefits For full time employees, Tendo also offers full health benefits (medical, dental, and vision), flexible spending and health savings accounts, company paid life insurance, company paid short-term and long-term disability, company equity, voluntary benefits, 401(k), company paid holidays, flexible time off, and an employee wellness program ("Breathe"). Tendo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances.

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We're looking for people who are determined to make life better for people around the world. The Engineer - Automation Engineering will work as a member of the Automation Engineering Department at Eli Lilly, Foundry. The engineer will provide automation support for one or more operating areas across site and/or for capital projects. Process Automation is core to delivering a right first time facility start up and continued support of ongoing manufacturing operations into the future. The Engineer is a key technical expert with partners to influence and implement within the process control organization and across functional disciplines to support the process control technical agenda, business plan priorities, and compliance objectives. The engineer will provide Automation, Process Controls and Data Historian expertise and support historian systems operating areas across site. The Engineer will also function as the main Data Architect to ensure proper data contextualization and democratization of operational data for compliance and data analytics. In the project delivery phase and startup phase of the project (startup expected 2025 to 2028), automation engineering roles will be fluid and dynamic as we endeavor to support the project delivery, build a new organization, develop and implement the necessary systems and business processes required to support GMP operations, and build the site culture. This will require significant collaboration, creativity and resilience as the site grows to a full scale GMP manufacturing through start up. Key Objectives/Deliverables: Technical Expertise Mentor process control team, including design, controls philosophy, implementation and commissioning Process control work implementation and coordination Develop and implement the Automation Engineering Project Plan. Operational Excellence Technically collaborate with Site Area leads and System Integrator including Functional Requirements, Design Specifications, DCS Application Software, Test Specifications to ensure Data historization and architecture is considered. Provide periodic status updates to Project Management Work with Engineering, Operations and many cross functional groups to trouble shoot issues, making changes to the site data historian system (OSI PI) in line with site change control procedures and site standards, responding to system events and performing routine system maintenance checks Maintain Data Historian System health and respond to issues as they arise Develop standard operating procedures, work instructions and other job aids to ensure the appropriate level of documentation is in place to train on, maintain and operate OSI PI, alarm management and alarm notification systems. Provide subject matter expertise on data historian systems design, development, installation, testing, validation, and lifecycle support. Ensure solutions are delivered by system Integrators, equipment vendors and others that can be integrated to the site data historian per the site standards and data management strategies. This includes developing requirements for the system in line with industry and Lilly standards. Design, configuration, and testing of the platform (OSI PI). This includes: OSI PI Server Infrastructure OSI PI Integration with Emerson DeltaV DCS solution OSI PI Interfaces with other systems (e.g. BMS, PLCs, Remote IO) OSI PI Asset Frame design and build Other OSI PI related solutions such as PI Vision Implement and support electronic systems (such as plant historians) used to capture process automation related production data Maintain the validated state of the site control systems in line with Lilly quality standards including the development and execution of validation strategies and associated documentation Automation support for capital projects including new product introductions Promote the use of automation to improve productivity, operational efficiency and compliance Developing a 'network' of corporate contacts and leveraging corporate expertise when needed Organizational Capability In coordination with automation and compliance consultants, set and reinforce standards for appropriate rigor in automation work products. Demonstrated initiative, good planning and organizational skills, ability to prioritize tasks, commitment to task completion and timelines. Possess a keen technical curiosity and has demonstrated strong problem-solving skills and a desire for continuous improvement Demonstrated ability to influence peers and business partners Good written and verbal communication skills for both technical and non-technical audiences Knowledge of GMP, regulatory requirements, computer system validation Basic Requirements: Minimum B.S. in Engineering and experience in Automation Engineering, preferably in major pharmaceutical manufacturing. 5+ years working experience in Biopharma engineering, operations, or manufacturing. Experience in design, development, commissioning and qualification of highly automated greenfield manufacturing sites utilizing SCADA, DCS and MES systems (DeltaV, Rockwell, Syncade, etc). Experience with: OSI PI and related applications Cybersecurity and IOT considerations when managing systems Awareness of integrating other process automation systems such as DeltaV, BMS, PLC/HMI and similar control systems in a manufacturing environment Industrial communication protocols such as BACnet/IP, modbus, HART, OPC DA & UA, Profibus, Ethernet/IP, RIO Systems performing backup and restore, disaster recovery Experience of developing documents with electronic document management system (Kneat, Valgenesis, ALM) Configuration and support of alarm management systems such as LogMate, Win911 Experience with Root Cause Analysis methodologies Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form ( https://careers.lilly.com/us/en/workplace-accommodation ) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response. Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status. Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women's Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups. Actual compensation will depend on a candidate's education, experience, skills, and geographic location. The anticipated wage for this position is $64,500 - $167,200 Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly's compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees. #WeAreLilly

The Minnesota Star Tribune is an innovative modern media organization building on an extraordinary 158-year legacy. With seven Pulitzer Prizes and numerous other accolades, we stand as a beacon of journalistic excellence in Minnesota. We are the heart and voice of the North. Our mission is to build a better Minnesota by connecting us with the people, ideas, and stories that strengthen our communities. We're seeking dynamic leaders who are passionate about journalism and democracy to help shape this future. If you are excited about reinventing one of our state's most trusted institutions and leading us into a new era of growth and excellence, we want to hear from you. The Minnesota Star Tribune offers a 10-week summer internship with our newsroom data journalism team at our headquarters in Minneapolis MN. We select talented, driven college seniors and graduate students who are ready to put their data skills to practice. We expect our interns to come to us with skill and leave with polish and invaluable experience from a major-market newsroom. Interns are paid $850 a week for 40 hours. Star Tribune is committed to a diverse and inclusive workplace, and it encourages qualified applicants of all backgrounds to apply. Candidates should recognize that legacy news operations must merge diversity-and-inclusion aspirations with audience needs to succeed and support that goal. We expect our data team intern to have: Solid news judgment. Strong organizational and project management skills. Excellent written and verbal communication skills, including the ability to write stories. Fluency in at least one data analysis tool, such as spreadsheets, R or Python. Some experience with other data tools, such as SQL, Datawrapper, Flourish, OpenRefine. We aim to provide this person with opportunities to learn from our data team and practice not only their data analysis and visualization skills, but also reporting and writing. In addition, they will partner on stories with newsroom reporters and get an inside look at how a data team operates within the larger newsroom. Qualifications: A solid journalism background combined with an eagerness to learn and experiment are paramount. Candidates should have experience in using data to tell stories, excellent communication skills, and a proven track record of collaboration. Candidates should be comfortable using at least one data analysis tool and the willingness to build additional skills, as needed. Preference to anyone interested in pursuing a full-time data journalism position in the future. Top candidates can demonstrate they're ready to make the most of this opportunity. The term will be early June to early August. Your application, which must be uploaded by Nov. 1, should include: Five to 10 links to news stories or other published content that show your data skills and/or data stories/projects you did on your own or in collaboration with other students for a class. Please include news stories that also display your writing and other reporting abilities, even if those do not include data analysis. Applications without these submissions will not be considered. A memo describing the work you did for each of your submissions that involved data analysis/visualization. This is especially crucial for stories you did in collaboration with others, so we can discern your role from what others did. A resume detailing your journalism experience, and three references, including their titles, phone numbers and email addresses. Two letters of recommendation. At least one of those letters should come from an editor who has seen you work in a professional environment on deadline. Please do not submit letters of reference from fellow student journalists. Reference letters can be attached to your application or emailed to newsrecruiter@startribune.com with your name in the subject line. Questions? Email Colleen Stoxen, Deputy Managing Editor, colleen.stoxen@startribune.com. Please do not email your application; to apply, you must upload here. Hourly Compensation: This internship will be paid at $21.25/hour More about the Minnesota Star Tribune: At the Minnesota Star Tribune, we recognize that our employees are our greatest asset, and we are committed to their happiness, growth, and well-being. Here's a snapshot of the exceptional benefits we offer: Modern Downtown Office: Enjoy a state-of-the-art workspace with a free fitness center, collaborative center, golf simulator, and a rooftop patio. Honored in 2023 with Diversity MBA's inaugural Top 25 Outstanding Leadership and Diversity Impact Awards, we are proud of our commitment to diversity and inclusion. Equal Opportunity Employer: Even if you don't meet every single requirement for this role, we encourage you to apply. At the Minnesota Star Tribune, we are dedicated to building a diverse and inclusive workplace and welcome applicants from all backgrounds.

Informatica Intelligence Cloud Services (IICS) Data Engineer Job Category: Information Technology Time Type: Full time Minimum Clearance Required to Start: None Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel: Local The Opportunity: CACI is currently looking for a highly skilled and experienced Informatica Intelligence Cloud Services (IICS) Data Engineer with agile methodology experience to join our BEAGLE (Border Enforcement Applications for Government Leading-Edge Information Technology) Agile Solution Factory (ASF) Team supporting Customs and Border Protection (CBP) client located in Northern Virginia! Join this passionate team of industry-leading individuals supporting the best practices in Agile Software Development for the Department of Homeland Security (DHS). As a member of the BEAGLE ASF Team, you will support the men and women charged with safeguarding the American people and enhancing the Nation's safety, security, and prosperity. CBP agents and officers are on the front lines, every day, protecting our national security by combining customs, immigration, border security, and agricultural protection into one coordinated and supportive activity. ASF programs thrive in a culture of innovation and are constantly seeking individuals who can bring creative ideas to solve complex problems, both technical and procedural at the team and portfolio levels. The ability to be adaptable and to work constructively with a technically diverse and geographically separated team is crucial. You should have worked with or have a strong interest in agile software development practices and delivering deployable software in short sprints. Responsibilities: Modernize the data warehouse environment by migrating the Informatica Powercenter to Informatica Intelligent Cloud Services (IICS) Optimize and troubleshoot data pipelines and warehouse performance to ensure efficient and reliable data processing. Design, develop, and maintain data integration workflows and ETL/ELT processes Apply your skills for advanced data transformations, large-scale data processing, and optimizing performance on big data platforms. Develop and implement Continuous Integration and Continuous Deployment (CI/CD) pipelines to automate the build, test, and deployment of data-related assets and code. Apply your skills in development languages such as SQL, Sparks, Python and to create or augment business and operational intelligence tools to detect trends, patterns, and non-obvious relationships in large, complex, and disparate data sets. Promote Agile culture and functional decomposition Assists in removing roadblocks/impediments for the various teams Qualifications: Must be a U.S. Citizen with the ability to pass CBP background investigation, criteria includes but is not limited to: 3 year check for felony convictions 1 year check for illegal drug use 1 year check for misconduct such as theft or fraud 7+ years of professional experience working on complex data challenges in the areas of data architecture and engineering 3-5 years of Informatica experience (at least 1 year in IICS implementation experience) Experience with designing, developing, and maintaining data integration workflows and ETL/ELT processes using Informatica Intelligent Cloud Services (IICS) or equivalent tools (e.g., Azure Data Factory, AWS Glue). Experience utilizing PySpark, Python, SQL, Kafka, and Databricks or equivalent big data technologies like Snowflake, Redshift, Google BigQuery, or Microsoft Azure Synapse Analytics for advanced data transformations, large-scale data processing, and optimizing performance on big data platforms. Experience writing complex SQL queries, stored procedures, and scripts to manage and manipulate data within the data warehouse. Experience developing and implementing Continuous Integration and Continuous Deployment (CI/CD) pipelines to automate the build, test, and deployment of data-related assets and code. Experience automating ELT data pipelines using CI/CD tools and technologies. Database skillset for AWS RDS concepts, and understanding of database principles used by tools such Databricks, Oracle, and Informatica ETL Strong software development background using Agile or DevOps methods and deep familiarity with cloud-native technologies. Desired: 5-10 years of DHS, DoD, or IC experience working in complex data environments, including the architecture and optimization of data schemas, terabyte-scale ETL, etc. 5-10 years of experience applying a range of analytical techniques including statistical, geospatial, link, temporal, and predictive analysis, for DHS, DoD, or IC agencies. 3-5 years of experience building and implementing artificial intelligence, neural networks, deep learning, or machine learning capabilities in software applications in a national security or academic environment. Exposure to Continuous integration, Continuous Deployment (CI/CD) and DevOps processes and tools Exposure to implementing or migrating to Cloud environments like Amazon Web Services (AWS) or Microsoft Azure. Previous experience as an Enterprise-level Data Architect, Data Engineer, Data Scientist, or Data Analyst. Ability to apply advanced principles, theories, and concepts, and contribute to the development of innovative principles and ideas. ____ What You Can Expect: A culture of integrity. At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation. An environment of trust. CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality. A focus on continuous growth. Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy. Your potential is limitless. So is ours. Learn more about CACI here. ____ Pay Range: There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more here. The proposed salary range for this position is: $103,800 - $218,100 CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

Data Scientist - Energy (Oil & Gas) Houston, TX (Hybrid) About this position: Context Labs is seeking a Data Scientist to support the deployment of Context Labs' Decarbonization as a Service platform, built on our Immutably Data Fabric technology. The candidate will perform research and analysis required by customer projects to deploy data-driven business products related to greenhouse gas mitigation within the energy industry. Responsibilities include understanding, integration, testing and analysis of data from a wide variety of data sources, developing and documenting methodology for scalable emissions analytics, building and testing predictive models for the anomaly detection and other use cases. This is a diverse role requiring skills from software development to applied mathematics and statistics. This position reports to the Data Science Architect. In this role you will: Perform exploratory and diagnostic data analysis to derive business insights. Implement emissions calculations in robust and reproducible way. Apply state-of-the-art data mining and machine learning methods to real-world problems. Develop and validate predictive models using classification, regression, or time series techniques. Process, cleanse, and verify the integrity of data used for analysis. Work with engineering and business stakeholders to define requirements and resolve ambiguities. Communicate results and insights clearly to both technical and non-technical audiences. Succeed by exhibiting strong curiosity and problem-solving mindset. Collaborate closely with colleagues in our Cambridge, MA, and Amsterdam, NL offices. Contribute to an agile, cross-functional team culture of continuous learning. Anything else as may reasonably be required by the company. Experience: Domain Expertise Industry experiences working with energy, utilities or industrial datasets (e.g., oil and gas, renewables, or emissions). Familiarity with concepts from engineering system modeling, thermodynamics, or process simulation. Data Science & Analytics Strong skills in Exploratory Data Analysis (EDA), feature engineering and data storytelling. Proficient in Python for data science and machine learning, using tools like scikit-learn, XGBoost, NumPy and Pandas. Experience developing and validating supervised ML models (classification, regression and time-series). Comfortable working with large, messy datasets in cloud-based environments. Ability to communicate complex analytical findings clearly to a variety of stakeholders. Familiarity with SQL or other structured query tools. Bonus if you have: Familiarity with Pyspark, Delta Lake or other distributed computing tools. Experience deploying models using lightweight frameworks (eq. Flask, FastAPI, Streamlit). Knowledge of data ontologies, knowledge graphs or semantic modeling. PhD or academic research experience in a related discipline (e.g. Chemical, Mechanical or Petroleum Engineering, Data Science, or Computer science and engineering). Experience with emissions estimation or climate analytics. Why you'll like it here: Context Labs is collaborative at its core. You'll work within your team and across the organization allowing for continuous learning and discovery. We set goals that matter and provide value in all that we do, from building meaningful products to positively impacting carbon reduction and climate change. Context Labs' mission is to transform complex data into continuously proven information. Powered by Immutably, an innovative, trusted data fabric platform, our integrated solutions deliver context-driven insights that enable human networks to spot patterns, correlate trends - and reveal the ground truth hidden inside the world's most complicated, persistent problems. We understand that applying for a job can be intimidating. Applicants rarely meet every single job requirement, and we know there are many skills and backgrounds that will contribute to success in this role. If you're interested in applying, please do so. Context Labs embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We believe the more inclusive we are, the better our products will be. Context Labs will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please contact Human Resources at HR@contextlabs.com. Who we are: Context Labs is dedicated to sourcing, organizing, and contextualizing the world's climate information. The company enables data to become trusted, shared, and utilized as Asset Grade Data (AGD), providing insights and solutions to inform markets. Context Labs mission is to provide the world's trusted data fabric platform, delivering Asset Grade Data to customers using the Immutably Enterprise Data Fabric platform, deploying machine learning, Artificial Intelligence, and cryptographic blockchain technologies, for context-driven insights. Building on the Immutably Enterprise Data Fabric platform, the company has deployed customer service layers (1) Decarbonization-as-a-Service (DaaS), tailored to accelerate the Global Energy Transition, and its (2) CLEAR Path platform to enable customers to optimize value creation with the highest quality carbon credits. The company was formed out of MIT (Massachusetts Institute of Technology) research and is comprised of a leadership team that has been instrumental in the at-scale growth of the Internet, in prior companies. The company has offices in Amsterdam, Cambridge, Mass., and Houston. We are a team that is hiring and growing! Learn more about Context Labs here: www.contextlabs.com

Job Description Our Enterprise Data & Analytics (EDA) is looking for an experienced Senior Staff Data Engineer to lead the design, development, and scaling of our enterprise data platform. You'll work in a collaborative Agile environment using the latest engineering best practices with involvement in all aspects of the software development lifecycle. As a Senior Staff Engineer on our EDA Engineering Team, you will be pivotal in building and supporting significant aspects of our data services and pipelines, that powers the next generation reporting and analytics platform. You'll partner with architects, engineers, analysts, and business stakeholders to ensure our data platforms are reliable, observable, secure, and governed. This role is ideal for someone who thrives at the intersection of data architecture and engineering execution, influencing technical direction across multiple teams while remaining hands-on with data platforms. What you get to do every single day: Lead data engineering projects at scale in a high visibility role working across multiple teams Successfully plan and deliver complex, multi-team or system, long-term projects, including ones with external dependencies Owns one or more large, mission-critical systems or multiple complex, team level projects, overseeing all aspects from design through implementation and operation Cross functional and team collaboration on researching and brainstorming different solutions for technical challenges we face Design and build end to end analytics solutions that provide practical insights into customer 360, finance, product, sales and other key business domains; can do critical R&D, PoC, vendor evaluation Establish engineering best practices and mentoring other engineers in making technical decisions on projects and foster a culture of technical excellence and continuous learning Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery What you bring to the role: Basic Qualifications 10+ years of experience in data engineering, data architecture, or distributed systems, with at least 5 years in technical leadership roles. 7+ years of data engineering experience building, working & maintaining scalable data platforms 4+ years of hands-on Snowflake experience, including designing and managing data warehouses, optimizing performance and costs, migrating data from other systems, and implementing best practices for scalability and efficiency. 5+ years of experience with Cloud columnar databases (Snowflake, Google BigQuery etc) 3+ years of production experience with dbt and modern ELT pipelines. Extensive experience working with various data technologies and tools such as Airflow, Snowflake, Fivetran, DBT, AWS, GitHub Actions, Docker, Kubernetes, terraform. Hands-on experience with AWS services (S3, Glue, EMR, Athena, Snowpipe, Kubernetes, Terraform). Understanding of data governance, security controls, and access management. Solid experience in observability, alerting, and incident management for data systems. Ability to work optimally in multifaceted, occasionally interrupt driven environment that includes geographically spread teams and customers Intermediate experience with any of the programming language: Python, Go, Java, Scala, we use primarily Python Excellent communication skills to collaborate with executives, data scientists, analysts, and engineers. Ability to work closely with data scientists, analysts, and other stakeholders to translate business requirements into technical solutions. Proven ability to mentor staff and senior engineers, raising the technical bar across teams. What does our data stack looks like: ELT (MYSQL CDC, Kafka, Snowflake, Fivetran, dbt Core & DBT Cloud, Astronomer, Alation, Montecarlo) BI (Tableau, Looker) Infrastructure (AWS, Kubernetes, Terraform, Github Actions) #LI-JH1 The US annualized base salary range for this position is $183,000.00-$275,000.00. This position may also be eligible for bonus, benefits, or related incentives. While this range reflects the minimum and maximum value for new hire salaries for the position across all US locations, the offer for the successful candidate for this position will be based on job related capabilities, applicable experience, and other factors such as work location. Please note that the compensation details listed in US role postings reflect the base salary only (or OTE for commissions based roles), and do not include bonus, benefits, or related incentives. Hybrid: In this role, our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection, collaboration, learning, and celebration - while also giving you flexibility to work remotely for part of the week. This role must attend our local office for part of the week. The specific in-office schedule is to be determined by the hiring manager. The intelligent heart of customer experience Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love. Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week. As part of our commitment to fairness and transparency, we inform all applicants that artificial intelligence (AI) or automated decision systems may be used to screen or evaluate applications for this position, in accordance with Company guidelines and applicable law. Zendesk is an equal opportunity employer, and we're proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here. Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to peopleandplaces@zendesk.com with your specific accommodation request.

Data Analyst Job Category: Information Technology Time Type: Full time Minimum Clearance Required to Start: Secret Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel: Continental US The Opportunity: CACI is currently hiring several Data Analysts for our Navy customer. Located in King George, VA; within CACI's C5I work area, you will have the opportunity to support NSWCDD and the U.S. Navy's Aegis and Aegis BMD programs. Supporting tasks include computer program requirement reviews, root cause analysis, test procedure design, data analysis tool development, and more. NOTE: U.S. citizenship is required for this position due to the Department of Defense (DoD) security clearance requirements and the nature of the classified work involved. This requirement is in accordance with U.S. government regulations concerning access to classified information and is a mandatory condition of employment. Responsibilities: Analyze and review current software and related documentation. (i.e. specifications, requirements, interface documents, test documents.) Perform data analysis tools development; including the coding, testing, debugging, implementation, and documentation maintenance of basic programs that are designed to assist with data analysis practices. Assist in the research and analysis of existing systems and program requirements; assists in preparing documentation to change existing programs. Perform data analysis to support internal and external project. Perform analysis tools development; including the coding, testing, debugging, implementation, and documentation maintenance of basic programs that are designed to assist with data analysis practices. Assist in resolving identified issues within the AWS. Assist in development of Analysis Cases used to thoroughly analyze Combat System performance on a system functionality basis. Qualifications: Required: Bachelor of Science degree in Mathematics, Computer Science, Engineering, or physical science. Minimum 3 years of related work experience. Need to have the ability to obtain and maintain, at minimum, a Secret Level Security Clearance. Active Secret Security Clearance is a plus. Desired: Experience in C++, Java, and/or Python programming languages. Experience with Microsoft Word and Microsoft Excel. Active Secret level clearance. Experience with Aegis Weapons System or similar Combat System. ____ What You Can Expect: A culture of integrity. At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation. An environment of trust. CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality. A focus on continuous growth. Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy. Your potential is limitless. So is ours. Learn more about CACI here. ____ Pay Range: There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more here. The proposed salary range for this position is: $69,600 - 142,700 USD CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

About Coresite At CoreSite, we empower a more connected future through high-performance data centers and interconnection solutions. Recognized as a trusted partner in digital transformation, our strategically located facilities and innovative services enable businesses to connect, collaborate, and grow in an ever-evolving technological landscape. Our culture is defined by operational excellence and a relentless drive for innovation. We foster a collaborative environment where every team member is valued, wins are celebrated as a team, and ownership is part of our DNA. At CoreSite, we're not just building state-of-the-art infrastructure-we're creating a community of forward-thinkers committed to solving complex challenges and delivering exceptional customer experiences. At CoreSite not only are we Committed to Excellence, but we also Build Connections, Own It, Do the Right Thing, Have Fun, and Win as a Team. Join us and be part of a team that is shaping the future of digital infrastructure while nurturing your professional growth and success. Data Center Technician III Role: The Data Center Technician III assists in the operational integrity, security, and regulatory compliance of the data center. The technician is to have a strong knowledge of telecommunications, mechanical, electrical, and life safety systems as well as data center operating procedures. We are currently hiring for the Night Shift: 11:00pm - 7:30am, Sunday-Thursday A Tier III technician will be responsible for day to day operations of the data center including facilities and telecommunication infrastructure. The responsibilities are wide ranging and multi-disciplinary. Mechanical responsibilities will include working on chilled water systems and components, HVAC systems such as roof top units, CRAC/CRAH units, humidification systems, and central plant operations. Electrical responsibilities will include working on electrical/critical power distribution from the Utility/Generator main switchgear through the UPS systems out to the customer load including power circuit installations. Fire Life Safety responsibilities will include monitoring wet sprinkler systems and pre-action sprinkler systems as well as their associated detection devices. Telecommunications responsibilities will include cross connect installations, cabling infrastructure management, advanced remote hands support, and customer cage and cabinet build outs. Responsibilities will include customer infrastructure build-outs (cage builds, overhead installations, rack and stack), cable termination and testing, maintenance work, monitoring and responding to mechanical, electrical, fire protection, telecom, and security systems. These systems include, transformers, PLC's, generators, switchgear, UPS systems, STS', ATS' PDU's, chilled water systems, CRAC/CRAH, wet sprinkler systems and pre-action sprinkler, network equipment, transmission media, cabling infrastructure, security hardware, and CCTV. Duties: Completion of CoreSite's Data Center Operations Qualification Program to the tier level at which you are hired within the first nine (9) months of employment. Operate, monitor, maintain, and respond to abnormal conditions in facilities systems. Areas include: Electrical, Mechanical, Communications, Building Monitoring and Control. Tracking and trending operational characteristics. Provide feedback to management on the effectiveness of existing standards and processes. Works with contractors and consultants for all system expansions, corrections and upgrades Work with the senior technicians to track and complete an aggressive preventive and predicative maintenance schedule. Ensure data center operates at maximum operational efficiency, including analyzing existing operating conditions, recommending new technologies, and improving overall efficiency and cost reduction as per CoreSite guidelines. Ideal candidate will have a demonstrated technical ability and innovative thinking cross functionally, including integrated systems and IT. Manage systems to avoid unplanned, customer-impacting outages. Navigate and utilize a CMMS system. Provide day-to-day exceptional customer service and support. Maintain and complete regular facility and security tours documenting and responding to found issues. Assist with the database management of maintenance discrepancies and work with to resolve site issues based on agreed upon priorities. Follow direction from data center management regarding the data floor and back of house mechanical loading capacity thereby ensuring that the cooling system is operating at its highest efficiency. Trouble Ticket and Remote Hands Management Fiber and Copper cabling terminations Circuit path creation and verification Coordinate and oversee power installations and upgrades Work Order Completion Process Infrastructure projects (Internal/Customer) Cage and Cabinet Build-Outs Overhead Installations Rack and Stack Use developed procedures to solve problems Assist in asset and consumable inventory management. Responsible for the tracking and proper labeling of all equipment per established procedures. Incident escalation, response, and follow-up report writing Manage building service requests through resolution. Perform and complete work orders and customer service tickets in a timely manner Serve in a technical writing capacity in regard to the derivation of procedures for preventative or corrective maintenance activities. Adhere to and promote CoreSite's Principles of Operational Excellence Provide applied mechanical and integrated control expertise for the entire data center.