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Position Overview: We’re looking for a US based Senior Data QA Engineer to join our high-performing, fully remote engineering team. This is a senior-level role for someone who thrives in fast-paced environments, excels at solving complex problems, and is comfortable leading technical initiatives across product, data, and analytics domains through both technical expertise and an inquisitive, curious mindset. In this role, you’ll be expected to take ownership of QA processes for mission-critical projects—ranging from customer-facing applications to backend systems and large-scale data workflows. You’ll collaborate closely with cross-functional teams to design scalable QA strategies, guide their execution, and ensure best practices are applied across the stack and teams. You should bring a strong background in quality assurance with hands-on experience in data validation, test automation, and modern QA practices across APIs, data pipelines, and web applications. The ideal candidate is a confident QA leader—comfortable working in complex systems, resolving ambiguity, and driving clarity through structured test strategies. You’ll not only define and execute comprehensive test plans, but also help shape how we ensure data and system quality at scale. You’ll be responsible for: Designing and owning data QA processes, including test documentation, incident tracking, and quality metrics and dashboards. Design and implement end-to-end test strategies for data pipelines, ETL/ELT processes, data warehouses, and reporting systems. Building automated data validation frameworks to ensure accuracy, consistency, and reliability of large-scale datasets Creating and maintaining data quality checks, test plans, and monitoring solutions across structured and semi-structured data sources Leading QA initiatives across data-focused projects, collaborating closely with Data Engineering, Engineering, Analytics, and Project management teams Developing SQL- and script-based test suites to validate data transformations, business logic, and aggregation rules. Supporting analytics, BI, and reporting platforms by validating data integrity, lineage, and metric correctness Proactively identifying data quality issues and driving resolution through detailed root cause analysis and stakeholder coordination Integrating automated data tests into CI/CD workflows to enable continuous data validation and faster releases QA best practices in the data domainMentoring other QA team members on data validation techniques, automation strategies, and QA best practices in the data domain Ideal candidate requirements: Technical Skills 7+ years of experience in QA area 4+ years of experience as a Data QA Engineer/Data QA Analyst Deep understanding of general QA process, test design techniques and industry standards. Strong expertise in scripting programming languages (JavaScript/Python) Proven experience designing, building, and scaling Data QA processes Experience managing QA for projects and working in standard QA and project management tools like Testrails, Jira, Confluence Experience with white/grey box testing. Comfortable building, supporting, and integrating with production-grade ETL/data pipelines Build and maintain data quality automation frameworks using SQL, JavaScript/Python, or test platforms like DBT tests, Apache Airflow validations, etc. Understanding of the data governance concepts and experience with data governance tools or platforms. Understanding of cloud infrastructure (AWS preferred), CI/CD workflows, and containerization (Docker, Kubernetes) Business Skills Capable of leading Data QA projects across both application and data-focused initiatives Strong communication skills with an ability to bridge technical and non-technical stakeholders Demonstrated experience mentoring QA analysts and QA engineers and contributing to QA culture and growth Experience in fast-paced startup or scaling environments Prior experience in healthcare, life sciences, or regulated data environments is a plus Bonus Points Experience building or supporting admin tools and internal platforms Experience with data observability, schema governance, or data lineage tooling Exposure to machine learning pipelines, business intelligence tools, or product instrumentation Familiarity with mobile development frameworks such as React Native or Capacitor Benefits: Competitive Salary 100% Company-Paid Premiums for Employee’s Medical Health, Vision, and Dental Plans Short-term and Long-term Disability Life Insurance 401k Matching Work from Anywhere within the US Flexible PTO 100% Paid Parental Leave Post-Parental Leave Program - $5k stipend to assist with expenses, 4 week 100% paid “Ease-Back” return to work transition period Charitable donation matching Location: Our “Work from Anywhere” philosophy is aimed at making sure that we recruit a diverse range of thought leadership to ensure that our technology is better able to serve local health care providers. Our goal is to hire the country’s top talent and allow them to create an environment within the U.S. where they can do their best work. About Our Organization: At RxVantage, we're a small company with a big mission: to connect healthcare providers with the right life science experts and resources they need, exactly when they need them, to improve patient care. We’ve built a software platform that’s changing the way providers learn about the latest medical advancements and technologies. Every year, our platform powers over 1 million educational exchanges between medical practices and life science companies, making it easier for them to stay informed and provide better care. We have a proven product, a strong mission, and a passionate team. Now, we're looking for talented people to help us grow even more. If you're driven, eager to make an impact, and ready to be part of something meaningful, we want to hear from you! --- RxVantage is an equal opportunity employer and dedicated to ensuring that we represent the local communities where our health and wellbeing providers serve as pillars of support to our family, friends, and neighbors. Our representation within these communities allows us to embody a diverse set of backgrounds, experiences, abilities and perspectives; and provide an inclusive environment for our team to feel empowered to be their authentic selves, without fear of harassment or discrimination.

The Analyst will monitor system consoles for error lights and messages, failures, network malfunctions, and to make procedural and/or operational corrections as needed or report system problems to the appropriate technical staff for resolution. The incumbent will provide support on advanced information systems in connection with the Data Center Operations, the daily operations of the hospital and the various applications being utilized. The Data Center Analyst is responsible for using his/her own judgment and initiative in diagnosing problems of a low or moderate level of complexity and based on his or her findings determine a plan of action. The Analyst will advise management of any issues or problems that should arise during routine daily operations in the Data Center or in the support of applications used throughout the hospital. The Data Center Analyst, depending on his/her experience level will, troubleshoot and resolve operational issues for end-users, and assist with end-user questions or programming inquiries. The Analyst will be responsible for communicating with and working closely with fellow co-worker in the support of all computer systems owned or utilized by Self Regional Healthcare. The Analyst will be responsible for any other job as assigned by the Manager of Application Development Services.

We create possibilities that move life and commerce forward Welcome to Manhattan Associates. Our supply chain commerce technology positively affects how people on six continents work, shop and live. If you want to tackle complex problems, push limits and redefine what’s possible, you’ve come to the right place. As a Data Scientist within Manhattan Associate’s Global R&D organization, you will contribute to the research, evolution, innovation, and productionalization of advanced analytic methods, Data Science, Artificial Intelligence and Machine Learning capabilities across our industry leading Supply Chain solutions. As a member of the Data Science Team, you will help with the analysis and solution designs of complex analytical supply chain management problems using a variety of methods from Predictive Analytics, Forecasting, Statistical Analysis and Modeling, Data Science, Simulation, AI and Machine Learning to ensure that the analytical business tasks and processes used within our solutions have been reliably and accurately modeled and productionalized. You will be viewed a strong practitioner within the disciplines of Analytics, Data Science, and/or Machine Learning. JOB DESCRIPTION Provide strong analytical and data science expertise as a key member of our Data Science Team within our Global R&D Science Group, where you'll focus on the research, development, and deployment of a wide variety of analytical and machine learning use cases across Manhattan Associates’ broad portfolio of supply chain solutions Work with other data scientists, customers, product strategists, R&D leaders, and application development teams to identify, prototype, develop, and deploy ML-empowered solutions Assist data science teammates, product teams, and cloud teams with deployment and lifecycle oversight, performance analysis, issue troubleshooting, tuning and refreshing of production models/pipelines within our ML platform Work with large, complex data sets to extract, analyze, visualize, and infer meaningful insights Work with data science team members to research, experiment, and benchmark new analytical, data science, and ML methods, and technologies Communicate and document effectively, especially when communicating non-technical business leaders, partners and our customers MINIMUM REQUIREMENTS Masters in data science, computer science, engineering, analytics, mathematics, statistics, or a related technical field 3 years minimum experience working as a Data Scientist Researching, prototyping, developing, benchmarking, productionalzing, monitoring, and overseeing/managing the lifecycle of deployed ML models and solutions Very solid proven experience working with Data Science, Analytical, and AI/ML algorithms, models, techniques, processes, and best practices Applied knowledge and understanding of statistical data analysis, data wrangling and visualization, sampling methods, multivariate analysis, hypothesis testing, drift analysis Strong Python programming skills Solid working experience with leading open source and/or commercial data science packages/tools Experience working with SQL and relational databases Team oriented with strong interpersonal skills Strong ability for effective data storytelling Additional Preferred Qualifications : Experience working with and deploying solutions within a Cloud platform Experience with ML model/pipeline productization, deployment, and lifecycle management within a Cloud platform -- especially within a Microservices Architecture Experience with machine learning R&D leveraging/requiring large datasets #LI-JM1 Committed to diversity and inclusion At Manhattan, it’s about more than just the work. From cultural celebrations to interest groups to volunteer opportunities, your true self is always welcome here. Our team members’ backgrounds, experiences and perspectives add to us as a whole and make us unique. We are proudly an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a veteran. In the United States, Manhattan Associates participates in the Employment Eligibility Verification Program (E-Verify) operated by the Department of Homeland Security in partnership with the Social Security Administration. Participation in the E-Verify Program allows Manhattan to confirm the employment eligibility of all newly hired employees after the Employment Eligibility Verification Form (Form I-9) has been completed.

StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we’re here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. We're on the lookout for an accomplished Senior Data Scientist to join the Data Engineering & Analytics team at StubHub. In this role, you'll play a pivotal part in crafting and deploying cutting-edge machine learning models that drive business and operational choices within StubHub's dynamic ecosystem. Our Data Science team serves as the backbone for enabling data-driven decisions across the organization, harnessing the potential of StubHub's consumer data through statistical and machine learning techniques. This involves creating both business-facing and customer-facing products, along with delivering user-friendly tools and clear explanations for non-technical users to enhance self-service capabilities. About the Role: As a Senior Data Scientist , you'll be the driving force in a business domain, steering the strategy and execution of model development. You will lead teams—first through influence and likely later through a small team of direct reports. We're seeking someone uniquely passionate about constructing models that empower data-driven decisions, equipped with robust engineering principles that enable full ownership throughout the model lifecycle. Additionally, effective communication skills to convey complex concepts to both technical and non-technical audiences are essential. Location: Hybrid (3 days in office/2 days remote) – New York, NY or Santa Monica, CA What You'll Do Build and understand modeling related to one of four possible areas at StubHub: Experimentation, Forecasting, Pricing or Customer Acquisition Build state-of-the-art machine learning models for which you own from design all the way through to production, and communicate your results to broad technical and non-technical audiences Serve as a subject matter expert to the broader organization around on how to best build predictive modeling in the context of forecasting and pricing Find and develop your own roadmaps with business partners and carry out project management and execution of your own work Drive growth of junior team members and the data organization through venues such as workshops, best practices, and reading groups Foster a culture of inclusion, results-oriented execution, open innovation, and limitless creativity across your team What You've Done 7-11 years of relevant data science or machine learning experience and an MS. or Ph.D. degree in math, statistics, computer science, or other quantitative fields preferred. Proficiency with transforming and analyzing large scale data with modern cloud computing platforms (e.g.,SparkSQL, BigQuery, Snowflake, Databricks), with high proficiency with query languages like SQL Expert in Python or R and numerical and scientific libraries used for statistics and machine learning (e.g., Pandas, NumPy, SciPy, scikit-learn) Experience in building production level models in cloud environments (e.g., AWS, Azure) Demonstrated proficiency in time series modeling (GAMs, GLMs, ARs) and real-time forecasting are a nice-to-have Passionate about working with non-technical stakeholders to understand, anticipate, and deliver on their data needs What We Offer Accelerated Growth Environment : Immerse yourself in an environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale. Top Tier Compensation Package: Enjoy a rewarding compensation package that includes enticing stock incentives, aligning with our commitment to recognizing and valuing your contributions. Flexible Time Off: Embrace a healthy work-life balance with unlimited Flex Time Off, providing you the flexibility to manage your schedule and recharge as needed. Comprehensive Benefits Package: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options. The anticipated gross base pay range is below for this role. Actual compensation will vary depending on factors such as a candidate’s qualifications, skills, experience, and competencies. Base annual salary is one component of StubHub’s total compensation and competitive benefits package, which includes equity, 401(k), paid time off, paid parental leave, and comprehensive health benefits. Salary Range $200,000 — $275,000 USD About Us StubHub is the world’s leading marketplace to buy and sell tickets to any live event, anywhere. Through StubHub in North America and viagogo, our international platform, we service customers in 195 countries in 33 languages and 49 available currencies. With more than 300 million tickets available annually on our platform to events around the world -- from sports to music, comedy to dance, festivals to theater -- StubHub offers the safest, most convenient way to buy or sell tickets to the most memorable live experiences. Come join our team for a front-row seat to the action. For California Residents: California Job Applicant Privacy Notice found here We are an equal opportunity employer and value diversity on our team. We do not discriminate on the basis of race, color, religion, sex, national origin, gender, sexual orientation, age, disability, veteran status, or any other legally protected status.

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values – honesty, integrity, loyalty and service – define how we treat each other and our members. Be part of what truly makes us special and impactful. The Opportunity The Data Scientist Lead will work closely with the Data Science Director to ensure that AI/ML modeling solutions are successfully developed and implemented. This will involve supervising multiple projects/initiatives, providing technical expertise, ensuring quality results, and mentor and leading Senior and Junior Data Scientists. Through cross-team collaboration, the lead works to understand business problems to formulate and coordinate AI/ML solutions in the Consumer Lending, Bank Operations, and Automation space. A Lead Data Scientist is expected to have a consulting mentality and be a subject matter expert in model building, communication, and leadership. As a dedicated Data Scientist Lead, you will translate business problems into applied statistical, machine learning, simulation, and optimization solutions to inform actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction. In collaboration with engineering partners, delivers solutions at scale, and enables customer-facing applications. The person will use database, cloud, and programming knowledge to build analytical modeling solutions using statistical and machine learning techniques. Collaborates with other data scientists to improve USAA’s tooling, expanding the company’s library of internal packages and applications. The incumbent will work with model risk management to validate the results and stability of models before being pushed to production at scale. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC or Tampa, FL. Relocation assistance is available for this position. What you'll do: Gathers, interprets, and manipulates complex structured and unstructured data to enable advanced analytical solutions for the business. Leads and conducts advanced analytics using machine learning, simulation, and optimization to deliver business insights and achieve business objectives. Guides team on selecting the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes and peer reviews technical documents for knowledge persistence, risk management, and technical review audiences. Partners with business leaders from across the organization to proactively identify business needs and proposes/recommends analytical and modeling projects to generate business value. Works with business and analytics leaders to prioritize analytics and highly complex modeling. problems/research efforts. Leads efforts to build and maintain a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are clear and based on the highest quality data. Assists team with translating business request(s) into specific analytical questions, driving analysis and/or modeling, and presenting outcomes to non-technical business colleagues with a focus on business action and recommendations. Leads project portfolio achievements, risks, and impediments. Anticipates potential issues that could limit project success or implementation and escalates as needed. Establishes and maintains standard methodologies for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. Interacts with internal and external peers and management to maintain expertise and awareness of innovative techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Serves as a mentor to data scientists in modeling, analytics, computer science, eye for business, and other social skills. Participates in enterprise-level efforts to drive the maintenance and transformation of data science technologies and culture. Ensures risks associated with business activities are effectively identified, measured, supervised, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor’s degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative field; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 8 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master’s, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative subject area and 6 years of experience in predictive analytics or data analysis. 6 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 4 years of experience in one or more multifaceted scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. Experienced ability to write code that is easy to follow, well documented, and commented where necessary to explain logic (high code clarity). Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. Excellent demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. Proven ability to assess and articulate regulatory implications and expectations of distinct modeling efforts. Project management experience that demonstrates the ability to anticipate and appropriately lead project achievements, risks, and impediments. Demonstrated history of appropriately communicating potential issues that could limit project success or implementation. Expert level experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic models, discriminant analysis, support vector machines, decision trees, forest models, etc. Expert level experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. Demonstrated experience in guiding and mentoring junior technical staff in business interactions and model building. Demonstrated ability to communicate ideas with team members and/or business leaders to convey and present very technical information to an audience that may have little or no understanding of technical concepts in data science. A consistent track record of communicating results, insights, and technical solutions to Senior Executive Management (or equivalent). Extensive technical skills, consulting experience, and business savvy to collaborate with all levels and subject areas within the organization. What sets you apart: Extensive model building experience (preferably in banking) covering a variety of AI/ML and traditional statistical modeling approaches. Extensive hands-on experience preparing data and code for modeling. Experience with the entire model lifecycle, including conceptualization, development, implementation, validation, and ongoing performance monitoring. Experience working directly with clients, customers, or internal business partners. Experience leading client or customer relationships and expectations, including senior leadership. Compensation range: The salary range for this position is: $164,780 - $314,960 . USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on USAAjobs.com. Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Description AI Center of Excellence (CoE) team is seeking a highly skilled Senior Data Scientist specializing in Large Language Models (LLMs) to join our team. The ideal candidate will leverage their expertise in machine learning, natural language processing, and artificial intelligence to develop and implement advanced models that drive strategic decision-making and innovation. AI CoE team is a division of Enterprise Data and Analytics team, driving innovation and financial success by delivering results on a project-by-project basis. The Sr. Data Scientist role involves managing data science projects from conception to deployment and collaborating with cross-functional teams to deliver impactful insights. Key Responsibilities · Collaborate with the Product Owner to manage the entire model development process for both on premises and AWS cloud projects, including identifying the business requirements, data sourcing, model fitting, presenting results, and production scoring. · Participate in daily Kanban standups, create user stories to diligently track project progress, attend backlog meeting, and communicate effectively with scrum master and product owner to solve any roadblocks. · Utilize automation techniques to streamline manual processes to enhance accuracy, and build upon successes to develop a suite of self-service assets. · Stay current with emerging Machine learning and cloud trends and technologies, driving innovation though their application. Basic Requirements · Master’s degree in Data Science, Computer Science, Statistics, Economics · 2+ years' experience with statistical modeling techniques such as regression analysis, hypothesis testing, time series analysis, and Bayesian inference. · 2+ years related work experience in AWS cloud machine learning and cloud computing, with familiarity in AWS Sagemaker, Lambda, S3, Athena, etc. 3+ years experience with Python (preferred) or R, Spark, and others. · 1+ years experience with Large Language Models (Llama, Claude, Titan), including frameworks such as Langchain, embedding and vector databases, and prompt engineering Preferred Skills and Characteristics · PhD in Data Science, Computer Science, Statistics, Economics, or related field. · Willingness to step out of comfort zone and solve problems not strictly related to modeling and data science to reach team goals. · Working knowledge of finetuning LLMs · Working knowledge in RAG such as MMR, Multi-vector retrieval, RAG fusion, HYDE, self-RAG, etc. · Knowledge and practical experience with Agentic AI. · Preferred advanced AWS services work experience with Textract, JumpStart, Bedrock, etc #Texas Exempt Status: (Yes = not eligible for overtime pay) ( No = eligible for overtime pay) Yes Workplace Type: Office Our Approach to Office Workplace Type Certain positions outside our branch network may be eligible for a flexible work arrangement. We’re combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team. Compensation Range: The compensation range represents the low and high end of the base compensation range for this position. Actual compensation will vary and may be above or below the range based on various factors including but not limited to location, experience, and performance. Colleagues in this position are also eligible to participate in an applicable incentive compensation plan. In addition, Huntington provides a variety of benefits to colleagues, including health insurance coverage, wellness program, life and disability insurance, retirement savings plan, paid leave programs, paid holidays and paid time off (PTO). Huntington is an Equal Opportunity Employer. Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details. Note to Agency Recruiters: Huntington will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington colleagues, directly or indirectly, will be considered Huntington property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.

Work Schedule Standard (Mon-Fri) Environmental Conditions Office Job Description Job Summary: The Data Integrity Manager will be responsible for ensuring flawless data management and compliance across our Greenville site. This outstanding opportunity allows you to lead a multidisciplinary team, ensuring the highest standards of data integrity in both cultural and technical aspects. You will be instrumental in implementing and maintaining compliance with 21CFR Part 11 and Annex 11 regulations. Join us to make a significant impact on our operations and drive outstanding data integrity initiatives! Key Job Responsibilities: Prepare and facilitate Site Governance Team meetings. Provide detailed metrics to site leadership using systems like TrackWise, Power BI, and other site management tools. Monitor equipment and instrumentation to ensure strict compliance with 21CFR Part 11, Annex 11, and other regulatory guidelines. Lead and support Data Integrity initiatives, proactively improving the site’s data integrity culture. Coordinate and track the Data Integrity Remediation Plan, ensuring all commitments are successfully met. Develop and deliver Data Integrity awareness training. Build and maintain procedures aligned with data integrity regulations. Coordinate the DI Surveillance program to ensure compliance with documentation standards. Collaborate on multidisciplinary projects to meet customer, business, and regulatory requirements. Present DI Metrics to site leadership monthly. Approve DI-related deviations, CAPA, and change controls. Assist in data integrity risk assessments. Job Scope: Engage in meetings with cross-functional groups to discuss data integrity. Ensure operations and laboratories align with regulatory requirements. Apply professional concepts to resolve technical issues and lead critical initiatives. Network with key contacts and the Global DI network. Lead and influence teams regarding financial, equipment, standards, and resource needs. Qualifications: Education: Bachelor’s Degree required, preferably in Science, Engineering, or related fields Experience: Minimum of 8 years of experience with a Bachelor’s degree, or 6 years with an advanced degree, in quality and data integrity. Experience with TrackWise and training preferred. Project Management, Supervision, or Management experience required. Knowledge, Skills, Abilities : Proven knowledge of cGMP and cGDP. Experience with 21CFR Part 11/Annex 11 compliance and TrackWise. Proficiency in Microsoft Office Suite. Strong written, interpersonal, and presentation skills. Ability to manage multiple projects simultaneously. Physical Requirements: Ability to move about office locations and perform physical tasks as needed. Dexterity for typing and using a computer. Visual acuity for reading materials and operating equipment. We offer competitive salary, an annual incentive bonus plan, 401K with company match up to 6%, tuition reimbursement and a range of other employee benefits! We foster an exciting company culture that encourages innovation, forward-thinking, and an outstanding career and development prospects. Come be a part of the team! Apply today! http://jobs.thermofisher.com

What You'll Do: Partner with commercial teams to create and deliver Client Business Reviews, including custom analyses, optimization recommendations, media plans and forecasts to improve performance and drive incremental revenue Design, manage, analyze, and communicate results of controlled A/B tests Create and share market trends and benchmarks to support in strategic planning Collaborate with Product Analytics to execute on performance-improving initiatives Influence the Product Roadmap by sharing client needs and feedback with our product and R&D teams Leverage the partnership with our Global Client Operations Center to identify ways to improve efficiency in executing tasks through automation or delegation Develop expertise on a key growth area of the business. Take ownership over knowledge sharing within the team and building client facing collateral Troubleshoot campaign delivery and performance issues in time-sensitive, high-impact scenarios Stay informed on industry trends and advancements in AdTech, analytics, forecasting, and attribution Effectively communicate with teams and managers on project timelines and challenges Who You Are: Minimum 1 year full-time, analytics-relevant work experience with Python; previous experience with MySQL preferred Native-level English fluency and strong presentation and public speaking skills, with the ability to present and defend complex analyses to both technical and non-technical audiences Bachelor’s degree or higher in a quantitative field (Mathematics, Computer Science, Engineering, etc.) Conceptual and practical understanding of statistics and real-world application of statistical concepts particularly in a testing context Experience with internet advertising technology (tagging, cookies, trafficking) and digital marketing concepts is preferred We acknowledge that many candidates may not meet every single role requirement listed above. If your experience looks a little different from our requirements but you believe that you can still bring value to the role, we’d love to see your application!​ Who We Are: Criteo is the global commerce media company that enables marketers and media owners to deliver richer consumer experiences and drive better commerce outcomes through its industry leading Commerce Media Platform. At Criteo, our culture is as unique as it is diverse. From our offices around the world or from home, our incredible team of 3,600 Criteos collaborates to develop an open and inclusive environment. We seek to ensure that all of our workers are treated equally, and we do not tolerate discrimination based on race, gender identity, gender, sexual orientation, color, national origin, religion, age, disability, political opinion, pregnancy, migrant status, ethnicity, marital or family status, or other protected characteristics at all stages of the employment lifecycle including how we attract and recruit, through promotions, pay decisions, benefits, career progression and development. We aim to ensure employment decisions and actions are based solely on business-related considerations and not on protected characteristics. As outlined in our Code of Business Conduct and Ethics, we strictly forbid any kind of discrimination, harassment, mistreatment or bullying towards colleagues, clients, suppliers, stakeholders, shareholders, or any visitors of Criteo. All of this supports us in our mission to power the world’s marketers with trusted and impactful advertising encouraging discovery, innovation and choice in an open internet. Why Join Us: At Criteo, we take pride in being a caring culture and are committed to providing our employees with valuable benefits that support their physical, emotional and financial wellbeing, their interests and the important life events. We aim to create a place where people can grow and learn from each other while having a meaningful impact. We want to set you up for success in your job, and an important part of that includes comprehensive perks & benefits. Benefits may vary depending on the country where you work and the nature of your employment with Criteo. When determining compensation, we carefully consider a wide range of job-related factors, including experience, knowledge, skills, education, and location. These factors can cause your compensation to vary. For employees based in the US, certain roles at Criteo are eligible for additional rewards, including quarterly or annual bonus and restricted stock units. US-based employees receive access to healthcare, dental, and vision insurance, a 401(k) plan with company match, short-term and long-term disability coverage, life insurance, family forming and wellness benefits, Flexible Work financial support, learning opportunities, and a robust annual leave plan including volunteer time off and summer vacation days. The US base salary pay range for this position per year is: $79,700 - $98,000

Shift: Monday-Friday (25-27 hours per week) Job Responsibilities: Organizes and archives employee training records and documents. Makes copies of training paperwork as needed. Uses alphabetical and numerical systems to organize paper and electronic training records documents. Receives training records from other departments and processes and files them accurately. Checks paperwork and files, ensuring documentation is correct. Working with employees to ensure proper documentation is obtained, if necessary. Checks and corrects documentation and placement of previously filed documents. Updates filing systems and organizational storage systems for data and documents as needed. Creates new files and provides needed information on training paperwork. Secures and protects the privacy of training documents. Processes requests for training files and data. Records when and what training documents have been borrowed and returned. Scans and uploads digital training files as necessary. Works with outside storage vendors to ensure safe archiving of documents. Must meet standards for production volume, accuracy, and completeness. Requires strong attention to detail and good communication skills, and the ability to work well under various stressful and time-sensitive situations. Candidate will need to be able to comprehend and listen to directions and use MS Office applications. Job Requirements: High school diploma or GED equivalent required. Bachelor’s degree (preferred). Intermediate proficiency of Microsoft Word and Excel. Intermediate proficiency of emailing systems. Intermediate Computer skills such as typing, navigating internet and/or multiple windows, computerized note taking and processing in multiple internal systems. Intermediate verbal communication with internal/external partners. Must be able to type quickly and efficiently. Must be able to work independently. Must be able to work during regular business hours. Must have reliable transportation. Key features of this role are: Detail-oriented Quality and precision focused Outcome-oriented Results-focused with a strong performance culture Team Player

Data Supervisor Corporate Headquarters 12575 Uline Drive, Pleasant Prairie, WI 53158 Drive impact with data accuracy! As Data Supervisor, you’ll lead a team ensuring precise customer information for smooth shipments, effective marketing and data-driven decisions to support our growing North American company! Careers Packed with Potential. Backed by 45+ years of success, Uline offers opportunities to grow your career with stability you can count on. Position Responsibilities Oversee the maintenance of clean and accurate Direct Marketing customer information to ensure our mailings get to the customer. Train and coach the data hygiene team, managing team schedules and workflows. Troubleshoot customer issues related to catalog mailings or address-related concerns. Work with the Database Manager to resolve any customer information issues. Minimum Requirements Bachelor’s degree. 3+ years of experience in a Customer Service environment. Proficient in Microsoft Office, especially Excel. Accurate and organized with excellent attention to detail. Benefits Complete health insurance coverage and 401(k) with 6% employer match that starts day one ! Multiple bonus programs. Paid holidays and generous paid time off. Tuition Assistance Program that covers professional continuing education. Employee Perks On-site café and first-class fitness center with complimentary personal trainers. Over four miles of beautifully maintained walking trails. About Uline Uline, a family-owned company, is North America’s leading distributor of shipping, industrial, and packaging materials with over 9,000 employees across 14 locations. Uline is a drug-free workplace . All positions are on-site. EEO/AA Employer/Vet/Disabled #LI-JD1 #CORP (#IN-PPCIR) Our employees make the difference and we are committed to offering exceptional benefits and perks! Explore Uline.jobs to learn more!

Job Summary: The Data Analyst is responsible for ensuring the accuracy, integrity, and analysis of all RHF’s system data. This position plays a pivotal role in creating reports and dashboards, collaborating with various departments to address data needs, and supporting issue resolution alongside IT vendors and consultants. The Data Analyst also ensures compliance with RHF’s information security policies and maintains a strict commitment to confidentiality. We are currently seeking candidates who are local to Long Beach, CA, or Southern California residents who can reliably commute to our Long Beach office. Relocation assistance is not available for this position. Typical Duties and Responsibilities Dashboard Creation & Maintenance: Develop and manage dashboards to visualize key metrics and KPIs. Data Reconciliation: Establish procedures to ensure data integrity between imported/exported and source data. Collaboration on Financial Reporting: Work closely with internal teams to ensure accurate and reliable financial reporting. Ad Hoc Reporting: Create customized reports to support internal teams and management. Cross-Functional Collaboration: Partner with various departments to understand and fulfill their data requirements. System Integration Management: Design, maintain, and improve system integrations to streamline operations. Trend Analysis: Analyze complex datasets to identify trends and growth opportunities. Data Collection Improvement: Streamline data collection methods to enhance accuracy and integrity. System Efficiency & Protocol Development: Evaluate internal systems, address inefficiencies, and establish protocols for data handling and processing. Education and Experience Requirements Experience: Minimum 5 years of experience as a Data Analyst or similar role. Proven expertise with data analysis tools, including SQL and Python, or equivalent visualization software. Experience in financial reporting is required; familiarity with Oracle Cloud ERP/EPM is a plus. Education & Certifications: Bachelor’s Degree in Finance, Information Technology, Computer Science, or a related field. Certified Analytics Professional (CAP) certification is preferred. Technical Skills: Proficiency in Microsoft Office 365, with advanced Excel skills. Knowledge of system and information security, including data privacy concepts. Strong project management abilities. Soft Skills: Excellent analytical and problem-solving capabilities. Effective multitasking in a dynamic environment. Ability to communicate complex technical information to non-technical users. Compensation: Actual base salary considers several factors including but not limited to geography, job-related knowledge, experience, and budget. The start of the salary range is typically associated with the minimum experience required. The role is considered exempt, and will not be eligible for overtime pay in accordance with federal and state law. The anticipated base pay range for the position is $ 90,000 - $110,000 annual salary Benefits: Competitive pay Health, dental, and vision insurance Paid time off and holidays Retirement savings plan Employee assistance and more Term life and Voluntary supplemental life insurance Why RHF? At RHF, we are dedicated to making a meaningful difference in the lives of our residents. We strive to create vibrant communities where individuals can thrive, regardless of age or background. With over 50 years of experience in providing affordable housing and supportive services, RHF is a mission-driven organization that focuses on the well-being, independence, and dignity of every resident we serve. We offer a collaborative and supportive work environment, opportunities for professional growth, and a commitment to making a lasting impact in the communities we serve. Join us in our mission to create positive change and improve lives—because at RHF, we believe in making every day better for those who need it most.

Company Overview Mainspring Energy is revolutionizing power generation with the world’s most flexible and adaptable onsite power generator, the Mainspring Linear Generator. Commercial, industrial, and utility leaders are choosing Mainspring over traditional options like engines, turbines, and fuel cells to quickly and reliably deliver local power for EV charging, commercial facilities, data centers, and grid-scale operations. The Mainspring Linear Generator is fuel flexible, ramps up and down to meet demand, and utilizes a flameless technology with near-zero NOx emissions. Backed by top-tier investors such as Khosla Ventures, Bill Gates, American Electric Power, and Lightrock, Mainspring designs, manufactures and delivers its products to customers across the U.S. today, and we’re quickly scaling for international expansion. Inspired by our vision of the affordable, reliable, net-zero carbon grid, Mainspring is rapidly expanding within the $816B global electricity equipment market, and we’re hiring the best talent to meet growing customer demand around the globe. We welcome a broad range of backgrounds, experiences, and talents to bring fresh perspectives and ongoing innovation to our customers. We are looking to build relationships with people who share our values: Pragmatic Optimism. Building a new category of world-class power generation requires the optimism of ambition and creativity, balanced with practicality to solve problems efficiently. The challenges that arise are opportunities for growth. Excellence without Ego. We bring expertise and commitment to creating the best customer experience, from sales to deployment and service, just as we apply deep technical rigor to building and delivering world-class products. We strive for excellence and behave as leaders with the humility to acknowledge our challenges, both collectively and as individual contributors. Proactive Collaboration. The integration and cross-disciplinary nature of Mainspring’s business requires intentionally seeking out others who bring different skills, perspectives, and priorities. Our culture of inclusion and respect extends beyond our team to interactions with our partners and customers. More information can be found at www.mainspringenergy.com Job Overview Mainspring Energy is seeking a strategic and technically hands-on Salesforce Platform Lead to own the direction, architecture, and development of our Salesforce ecosystem. This role will serve as the most senior Salesforce expert in the company, driving platform vision and execution while partnering closely with stakeholders across Sales, Marketing, Field Operations, and Enterprise Systems. As the platform and company mature, this role is expected to grow to lead a team of Salesforce admins, developers, and contractors. This is an ideal role for someone who thrives at the intersection of business strategy and technical execution—and who is excited to scale both the Salesforce system and the support team around it. Responsibilities Platform Strategy & Architecture Define and drive the long-term roadmap for Salesforce at Mainspring, ensuring scalability, maintainability, and alignment with enterprise goals Lead technical architecture decisions, balancing custom development and third-party tools Develop and enforce standards for data governance, access controls (profiles, permission sets), integration, and user experience across the Salesforce ecosystem Evaluate new platform features and adjacent technologies to improve system capabilities Solution Design & Execution Translate complex business requirements into scalable Salesforce solutions using custom objects, fields, dynamic forms, Flows, Apex, Lightning components, and APIs Own and configure core Salesforce objects, external integrations, and managed packages (e.g., Pardot, ZoomInfo, LinkSquares, Grids) Oversee CI/CD workflows, release management, and sandbox strategies Monitor platform performance, evaluate platform release notes, test, and prepare for major releases and new features, conduct health checks, and manage proactive security and compliance reviews Stakeholder Engagement & Cross-Functional Alignment Partner with senior stakeholders to align priorities and manage tradeoffs across departments Serve as a trusted technical advisor and thought partner on commercial systems strategy Provide clear communication and documentation of system changes, architecture decisions, and integration patterns. Team & Capability Growth Mentor and guide junior admins and developers; provide code reviews and architectural coaching Define roles, responsibilities, and processes as the team grows Participate in hiring and onboarding efforts as team capacity expands Support knowledge sharing, documentation standards, and internal training initiatives Qualifications 10+ years of experience managing and developing Salesforce systems in a complex, cross-functional environment Strong knowledge of biz dev, sales, and marketing processes Proven success owning platform architecture and leading major Salesforce initiatives through design and implementation Advanced Salesforce certifications (e.g., Application Architect, Salesforce Platform Developer, System Architect, Advanced Administrator) strongly preferred Hands-on experience with Apex, Lightning, Flow, APIs, and integrating Salesforce with ERPs and other SaaS platforms Deep understanding of Salesforce data architecture, security model, and deployment practices Strong project management and stakeholder alignment skills; able to balance competing priorities and communicate effectively Experience working in or supporting high-growth hardware, energy, or manufacturing organizations is a plus Experience with Sales, Marketing and Service Cloud Demonstrated interest or experience in mentoring others and stepping into formal people management roles $145,000 - $170,000 a year This position is remote . The salary will be adjusted to reflect local market conditions based on employee location as well as the experience of the employee. Along with the base salary, Mainspring offers pre-IPO stock options + benefits. Does your experience not meet all of our posted requirements? Studies have shown that some people are less likely to apply to positions unless they meet every listed requirement. At Mainspring, we are committed to building a diverse, inclusive, flexible, and collaborative environment, so if you want to help us transition the world to clean and affordable electricity, and don’t meet all posted requirements for a particular role, we’d still love to hear from you. Mainspring can sometimes be flexible enough to shift responsibilities for the right person, or otherwise identify open or upcoming roles that may better fit your professional background. In more traditional words, Mainspring Energy, Inc is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. This compensation and benefits information is based on Mainspring Energy's estimate as of the date of publication and may be modified in the future. We generally do not negotiate on salary once we have made an offer. The level of pay within the range will depend on a variety of job-related factors that may include location, relevant prior experience and/or education, or particular skills and expertise. New hires joining the company tend to be paid within the starting base pay range noted above, with opportunities to increase pay over time based on development of additional skills, competencies, and company-specific knowledge.

About Us We are a global climate technologies company engineered for sustainability. We create sustainable and efficient residential, commercial and industrial spaces through HVACR technologies. We protect temperature-sensitive goods throughout the cold chain. And we bring comfort to people globally. Best-in-class engineering, design and manufacturing combined with category-leading brands in compression, controls, software and monitoring solutions result in next-generation climate technology that is built for the needs of the world ahead. Whether you are a professional looking for a career change, an undergraduate student exploring your first opportunity, or recent graduate with an advanced degree, we have opportunities that will allow you to innovate, be challenged and make an impact. Join our team and start your journey today! JOB DESCRIPTION/ RESPONSIBILITIES: Software Development Develops data pipelines and solutions that transfers/transforms data across various systems. Maintains deep technical knowledge of various tools in the data warehouse, data hub, and analytical tools. Ensures data is transformed and stored in efficient methods for retrieval and use. Maintains data systems to ensure optimal performance. Develops a deep understanding of underlying business systems involved with analytical systems. Follows standard software development lifecycle, code control, code standards and process standards. Maintains and develops technical knowledge by self-training of current toolsets and computing environments, participates in educational opportunities, maintains professional networks, and participates in professional organizations related to their tech skills. Systems Analysis Works with key stakeholders to understand business needs and capture functional and technical requirements. Offers ideas that simplify the design and complexity of solutions delivered. Effectively communicates any expectations required of stakeholders or other resources during solution delivery. Develops and executes test plans to ensure successful rollout of solution, including accuracy and quality of data. Service Management Effectively communicates to leaders and stakeholders any obstacles that occur during solution delivery. Defines and manages promised delivery dates. Pro-actively research, analyzes, and predicts operational issues, informing leadership where appropriate. Offers viable options to solve unexpected/unknown issues that occur during solution development and delivery. EDUCATION / JOB-RELATED TECHNICAL SKILLS: Bachelor’s Degree in Computer Science/Information Technology or equivalent. Ability to effectively communicate with others at all levels of the Company both verbally and in writing. Demonstrates a courteous, tactful, and professional approach with employees and others. Ability to work in a large, global corporate structure. Advanced English level, advanced level of additional language is a plus. Strong sense of ethics and company's core values and adherence thereto. Willingness to travel both domestically and internationally to support global implementations. Demonstrated ability to clearly isolate and define problems, effectively evaluate alternative solutions, and make decisions in a timely manner. Good decision-making ability, ability to operate in ambiguous situations and high analytical ability to judge pros-cons of approaches against objectives. Candidate must have a minimum of (3) years of hands-on experience in a Data Engineer role, including the following tools/technologies: Experience with relational (SQL) databases. Experience with data warehouses like Oracle, SQL & Snowflake. Experience with data modeling, data mining and segmentation techniques. Experience with ETL/ELT tools like Pentaho Data Integration, Fivetran and dbt. Experience with batch and real time data ingestion and processing frameworks. Experience with languages like Python and Java. Experience with at least one of the cloud platforms (Azure, AWS, GCP). Proficiency in Git for source control to manage and collaborate on code. Knowledge of additional cloud-based analytics solutions, along with Kafka, and Spark is a plus. BEHAVIOR / SOFT SKILLS: Professional skills, written technical concepts Leads problem solving teams Able to resolve conflict efficiently Works with multiple cross-functional projects Drives process mapping sessions Our Commitment to Our People Across the globe, we are united by a singular Purpose: Sustainability is no small ambition. That’s why everything we do is geared toward a sustainable future—for our generation and all those to come. Through groundbreaking innovations, HVACR technology and cold chain solutions, we are reducing carbon emissions and improving energy efficiency in spaces of all sizes, from residential to commercial to industrial. Our employees are our greatest strength. We believe that our culture of passion, openness, and collaboration empowers us to work toward the same goal - to make the world a better place. We invest in the end-to-end development of our people, beginning at onboarding and through senior leadership, so they can thrive personally and professionally. Flexible and competitive benefits plans offer the right options to meet your individual/family needs: medical insurance plans, dental and vision coverage, 401(k) and more. We provide employees with flexible time off plans, including paid parental leave, vacation and holiday leave. Together, we have the opportunity – and the power – to continue to revolutionize the technology behind air conditioning, heating and refrigeration, and cultivate a better future. Learn more about us and how you can join our team! Our Commitment to Inclusion & Belonging At Copeland, we cultivate a strong sense of inclusion and belonging where individuals of all backgrounds, and with diverse perspectives, are embraced and treated fairly to enable a stronger workforce. Our employee resource groups play an important role in culture and community building at Copeland. Work Authorization Copeland will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1 with OPT or CPT, H-1, H-2, L-1, B, J or TN, or who need sponsorship for work authorization now or in the future, are not eligible for hire. Equal Opportunity Employer Copeland is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, age, marital status, political affiliation, sexual orientation, gender identity, genetic information, disability or protected veteran status. We are committed to providing a workplace free of any discrimination or harassment. If you have a disability and are having difficulty accessing or using this website to apply for a position, please contact: copeland.careers@copeland.com

Description A little about us: The Red Alpha Data Science practice grew out of Red Alpha's reputation in Software and System Engineering with our Department of Defense clients. As sometimes happens, customers who trust our expertise in adjacent areas asked Red Alpha to assist with some of their burgeoning Data Science problems. Culturally, it probably suffices to say that we take our work seriously, but not ourselves. Our leaders have spent time in the trenches and have cursed daylight savings time changes and trailing whitespace as many times as you have. We like to say that we spend 80% of our time cleaning the data...and 20% of our time complaining about cleaning the data. Joking aside, our voices matter, and it is easy to see how our decisions affect the Data Science practice and Red Alpha as a whole. We have a clear vision of where we are headed. Our team takes a pragmatic approach to Data Science, defining it loosely as the intersection of technical expertise, business acumen, and soft skills to solve business problems with data. We spend a lot of time trying to understand the problem before we set about building a solution, and we prefer lower tech useful solutions over shiny algorithms and dust on the shelf. Did we mention we’re pragmatic? We have a diverse set of skills across our team, and whether you are a traditional Data Scientist (whatever that means…), an Applied Research Mathematician, a Database Engineer, a Full Stack Developer, or something else in that neighborhood, if you have a knack for picking apart data to make sense of it, we would enjoy having a conversation with you. A day in the life: In this role, you will provide support and related services to the implementation of enterprise data representations in various mission domains. You will be performing end-to-end systems engineering for data flows from the perspective of data format modeling, data mapping, and support to implementers and mission customers. This role requires strong software and systems engineering expertise from cradle to grave with limited, high-level direction, in the areas of: Enabling and growing existing automation efforts, adding additional data streams, and driving forward data transformation efforts. Focusing on the sponsor’s business analytics, metrics collection, and analysis efforts. The sponsor’s management team requires a data scientist to characterize the sponsor’s workforce, workforce productivity and output, and the value of collection to the workforce. Possessing an instinctive aptitude to leverage information and knowledge sharing networks and navigate conflict in a way that fosters constructive outcomes. What you bring to the table: Now on to the fun of formal requirements - we have to apologize in advance for the corporate-speak here, but just hold your breath for a few lines and everything will be okay. We are actively hiring data professionals for roles across a broad range of skill levels and projects. Our goal is to find the best fit for you so please note that if you apply to one of them and we see a fit elsewhere we will let you know. So do not worry about applying initially for every position you might be interested in. All of our data scientists need the following skills: Proficiency with a scripting language such as R or Python Experience with data science techniques and algorithms such as classification, clustering, random forests, deterministic forests (jk), hierarchical modeling, deep learning, Markov Chain Monte Carlo, and others. Note that you do not need to have all of these (we hope you enjoyed our random smattering of techniques…!) but you should be comfortable and capable with several of them and know some others not on this list. A B.S. Degree in Data Science, Mathematics, Computer Science or related field. For entry-level data scientists, 0-3 years of experience on Data Science projects. For mid-level data scientists, 3-6 years of experience on Data Science projects. For senior-level data scientists, at least 6 years of experience on Data Science projects with at least 3 years of experience managing teams. A TS/SCI with Polygraph security clearance. For this particular role, you will also need: A broad range of knowledge including information technology, requirements, technical architecture analysis (e.g., understanding data flow diagrams, system architecture diagrams, etc.), and an understanding of functional and system analysis. Knowledge of multiple development methodologies, Agile (Scrum & Kanban), etc. An understanding of SIGINT These are important skills to have, but not necessarily mandatory: Exceptional interpersonal skills. You know, as in you might not be at the top of the list to be a game show host, but you do like people and enjoy solving problems jointly with your colleagues. Experience with Java, C, or other compiled languages Comprehensive knowledge of Saturday Night Live sketches (just kidding) Experience with SQL/NoSQL, Spark, Hadoop Familiarity with Javascript and Scripting Familiarity with Docker, GitLab, and React The total package: Our total compensation package was strategically designed with our members in mind with the intention to: r eward our members for their hard work and commitment to our customers' missions; allow members to share in Red Alpha's success as we continue to grow and expand our footprint; provide long-term career opportunities through stability and internal mobility; and provide the resources our members need to support themselves and their dependents in the form of a robust benefits package. Our total compensation package includes a competitive base salary and benefits such as health, life/ disability, 401k, paid time off, professional development, and generous bonus programs. Please visit our benefits tab for additional information. Salary Range: Disclosed pay ranges are a general guideline, and are not a guarantee of a final salary or compensation. Our approach in determining final salaries takes into consideration a number of factors such as education, certifications, total years of relevant professional experience, actual level of expertise, and the responsibilities of the role itself. Based on the outlined roles, responsibilities, and requirements, the projected pay range for these positions are: Entry-level: $95,000 - $135,000 Mid-level: $110,000 - $155,000 Senior-level: $135,000 - $235,000 Some of our additional perks and benefits include: Retire sooner than planned: Get closer to retirement with up to 10% in 401k contributions, immediately vested. Have a career AND a life: Enjoy up to 5 weeks of leave (25 days of personal time off) and 11 paid floating holidays. Stay at your best: As a member, we'll pay 100% of your premiums for comprehensive health, dental, and vision insurance. We'll also pay the majority of the premiums for your family. Let's not forge free access to a fully equipped state of the art gym! Keep current on new technologies and technological advancements : $5250 per year towards ongoing education, trainings, certifications, and maintaining professional memberships. Dress in style: Spend up to $300 per year on company branded merchandise featuring top quality brands such as Under Armour, Nike, Carhartt, YETI, etc. Enjoy the culture: Attend fun company events throughout the year such as our Oktoberfest, summer picnic, and annual holiday party! These are all in additon to your team events which may include happy hours, baseball games, snowboarding, RenFest, and more! Every day, our elite customers are pushing through "the grind" to defeat the enemy, even putting their lives on the line for our freedom. Rise to the occasion with us to deliver engineering excellence, to match their dedication to this nation. Join us as we bring digital transformation to the fight!

The Kendal Corporation (TKC) is seeking a Data Analytics Scientist to support our healthcare data-driven decision-making processes. This position involves maintaining the systems and tools necessary for collecting, analyzing, interpreting, and reporting data to improve nursing center care, operational efficiency, industry benchmarking, and compliance with healthcare regulations. The ideal candidate will have experience and a strong passion around healthcare analytics, artificial intelligence/machine learning and data visualization tools. This role requires critical and technical thinking, as well as the ability to solve complex problems and develop streamlined and repeatable workflows proactively. KEY RESPONSIBILITIES Maintain data storage systems, like SQL/NoSQL databases, Data Lakes, Data Warehouse, including upgrades and data encryption Gather and analyze healthcare data from multiple sources, including but not limited to: external sources for baselining, EHR systems, resident records, operational metrics, and financial reports. Ensure data integrity, accuracy, and security in compliance with HIPAA and other regulatory requirements. Develop and maintain data dashboards and reports to track Affiliate and System Key Performance Indicators (KPIs). Identify trends, patterns, and correlations in healthcare data to optimize care and operational efficiency. Conduct predictive analytics to anticipate resident needs, staffing requirements, and financial performance. Support clinical and administrative teams by providing actionable insights for process improvement. Work closely with IT, clinical teams, finance, and executive leadership to translate data into strategic initiatives. Present findings through clear reports, dashboards, and visualizations using tools like Power BI, Tableau, or Excel. Assist in compliance reporting, quality improvement initiatives, and risk assessment efforts. EDUCATION AND EXPERIENCE Bachelor’s Degree: A degree in Data Science, Healthcare Informatics, Statistics, Computer Science, or a related field. Master’s Degree (preferred): A Master's in Data Science, Epidemiology, Public Health, or a related field. Certifications: (preferred): Relevant certifications in data analytics, healthcare analytics, or project management (e.g., Certified Health Data Analyst (CHDA), Certified Analytics Professional (CAP), or similar). 5 plus years of experience in data analysis, preferably in a healthcare setting. Experience collaborating across functional teams, such as IT, finance, clinical, and leadership, to drive data initiatives. Strong programming skills in languages like Python and R. Proficiency in SQL and experience with NoSQL databases, Data Lakes, and Data Warehousing. Expertise in machine learning algorithms, deep learning, and natural language processing (NLP). Experience with AI tools and frameworks like TensorFlow and PyTorch. Familiarity with cloud computing platforms (e.g., AWS, Azure) and big data technologies. Experience with data visualization tools (e.g., Power BI, Tableau, Excel) for creating dashboards and reports. Demonstrated ability in predictive modeling and analyzing trends within healthcare data. Data aggregation between multiple database platforms. Experienced in integrating healthcare, wellness, and operational APIs to support data-driven decision-making in senior living environments. Understanding of medical terminology, healthcare systems, healthcare datasets, EHRs, and clinical practices. Familiarity with healthcare regulations (e.g., HIPAA) and data privacy concerns. Ability to translate clinical questions into data-driven research projects. Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. Ability to work effectively in interdisciplinary teams. Marketing analytics experience desired Strong team work ethic with a customer-first , people first way of working ABOUT KENDAL Kendal began in the late 1960s, when a committee of the Philadelphia Yearly Meeting of the Religious Society of Friends (Quakers) sought “a better way in retirement” based on Quaker values . The first community opened in 1973. The Kendal Corporation began in 1989 and is an aging services leader providing support and expertise to the Kendal System. Since then, new Affiliates have either been developed from the ground up or have chosen to become a Kendal Affiliate. Some have chosen to disaffiliate. The Kendal Corporation supports a System of ten individual Affiliate communities that is structured on what is called a federal model. Each Affiliate is locally owned and managed with its own independent board of directors, as each Affiliate is independently operated. The Kendal Corporation and the System afford access to tools and practices that empower and support. Join our team at Kendal and take advantage of a comprehensive benefits package designed to promote your health, well-being, and financial future. We are committed to investing in our employees' health and happiness. Come work with us and enjoy benefits that support you both personally and professionally! TKC is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

About our team LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today’s top model creators for each individual legal use case. About the role We are seeking a detail-oriented, data-driven Marketing Technologist to own the implementation, integration, and optimization of our marketing and revenue tech stack to drive efficiency, alignment, and revenue growth. This role bridges the gap between marketing strategy, sales execution, and technical systems, ensuring our tools work seamlessly to support account-based marketing (ABM), campaign personalization, and performance analytics. Responsibilities: Platform Implementation & Integration Lead the technical configuration and ongoing management of marketing technologies, such as Demandbase, Gong, CRM and marketing automation tools. Ensure clean and scalable integrations between platforms to support full-funnel visibility and reporting. Create audience segments and logic based on intent signals. Build dashboards and reporting frameworks that tie engagement and sales conversations to marketing influence and ROI. Process Automation & Governance Define workflows, tagging structures, and data governance practices to ensure tool hygiene and scalability. Automate manual processes related to lead routing, account scoring, ad deployment, and campaign attribution. Cross-Functional Collaboration Serve as the connector between marketing, sales, operations, and IT—translating business goals into technical execution. Stay informed of emerging MarTech trends and tools that can accelerate growth. Requirements: 4+ years of experience in marketing operations, marketing technology, or revenue operations in a B2B software environment. Preferred hands-on experience with DemandBase, Gong, CRM and marketing automation tools Strong understanding of account-based marketing (ABM) principles and full-funnel campaign execution. Proficiency in data analysis, segmentation logic, and campaign tracking/attribution. Comfortable working in both strategic and tactical capacities—able to zoom in and out. Familiarity with APIs or integration tools a plus. Excellent communication and project management skills. Work in a way that works for you Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working for you We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits Health Savings, Health Care, Dependent Care and Commuter Spending Accounts Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice About the business LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services. Salary range To be added when data can be disclosed We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy . We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights .

Title: Data Engineer Department: Baseball Operations Status: Full-Time Pay Rate: $120,000 - $130,000/year* Reports to: Senior Director, Baseball Systems Platforms *Compensation rates vary based on job-related factors, including experience, job skills, education, and training. The Los Angeles Dodgers Baseball Systems team is committed to building and maintaining the technological platforms for baseball data, analysis, and decision-making for the Dodgers, and to providing technical expertise and advice across Dodger Baseball Operations. We focus on both the tools needed to put a winning team on the field today and those we need to ensure a winning future. The data engineering group within Baseball Systems operates the data platform used throughout Baseball Operations. We design, implement, and maintain the processes that bring in game, tracking, and scouting data, make them available to the rest of the Dodgers, and in turn re-ingest output from analytics to make that available as well. The Data Engineer works within the data engineering group within Baseball Systems to support our data operations. You will be responsible for implementing new ETL services and working with combining baseball data sources to create a cohesive view of games and plays. You will support the health of our data platform across relational databases, non-relational stores, and cloud file storage. You will collaborate with the rest of Baseball Operations to make sure that the data we provide them is complete, accurate, and meets their needs. We work together to build and maintain a winning, industry-leading team. If you are also enthusiastic about baseball and want to see your work reflected on the field and in the box score, please contact us! Essential Duties & Responsibilities: Design, build, enhance, and support operations for the Dodgers R&D database schema and ETL layer Design, implement, review, and test data collection, storage, and mapping procedures Build and maintain computational environments to support analytical modeling (statistics, machine learning, and optimization) Apply statistical models for data quality testing and missing data imputation Write, optimize, and automate data processing tasks Build or integrate system and database monitoring tools and maintain them Prioritize tasks within a project Mentor junior data engineers in implementation, software engineering processes, and baseball domain knowledge Perform other related duties as assigned Basic Requirements/Qualifications: B.S. or M.S. in Computer Science, Computer Engineering, or a related field 1+ years of data engineering experience Willing and able to commute or travel for on-site work in Los Angeles as needed SQL development skills and an understanding of database technologies (PostgreSQL preferred) Experience with Python, Bash, and other scripting languages Experience using Linux servers in a virtualized environment Familiarity with cloud-based and distributed computing concepts (AWS and Kubernetes preferred) Excellent analytical and problem-solving skills You should definitely contact us if: You want to work together to build and maintain an industry-leading team You are enthusiastic about baseball, and you want to see your work reflected on the field and in the box score Current Los Angeles Dodgers employees should apply via the internal job board in UltiPro by following these prompts: MENU > MYSELF > MY COMPANY > VIEW OPPORTUNITIES > select the position > CONSENT > APPLY NOW LOS ANGELES DODGERS LLC is firmly committed to providing equal opportunity for all qualified applicants from every race, creed, and background. The Organization is also firmly committed to complying with all applicable laws and governmental regulations at the state and local levels which prohibit discrimination. LOS ANGELES DODGERS LLC considers all applicants without regard to national origin, race, color, religion, age, sex, sexual orientation, disability, military status, citizenship status, pregnancy or related medical conditions, marital status, ancestry-ethnicity, or any other characteristic protected by applicable state or federal civil rights law. The Immigration Reform and Control Act requires that the Organization obtain documentation from every individual who is employed, which verifies their identity and authorizes their right to work in the United States. LOS ANGELES DODGERS LLC is committed to the full inclusion of all qualified individuals. As part of this commitment, LOS ANGELES DODGERS LLC will ensure that persons with disabilities are provided reasonable accommodations for the hiring process. If reasonable accommodation is needed, please contact talentrelations@ladodgers.com .

Use Your Power for Purpose Every day, our unwavering commitment to quality ensures the delivery of safe and effective products to patients. Our flexible, innovative, and customer-oriented culture is rooted in science and risk-based compliance. Whether you are engaged in development, maintenance, compliance, or research analysis, your contributions have a direct impact on patient care. By being part of our team, you help uphold a quality culture that adapts and evolves to meet the needs of patients, ensuring that every product we deliver is of the highest standard. Your role is crucial in maintaining this commitment and driving forward our mission to improve patient outcomes. What You Will Achieve In this role, you will: Provide oversight during execution of media fills, airflow visualization studies and other manufacturing activities. Perform necessary assessments of aseptic operation and update necessary documents. Accumulate key metrics for presentation to Management team, including gowning and aseptic technique observation. Author/revise the site Microbial Contamination Control Strategy plans as required. Author EM Quarterly and Annual Trend Reports Author ISO Data reports in support of facility ISO recertification. Compile, extrapolate, analyze and communicate data patterns within LIMS/MODA data. Provide Business Unit leadership data for trend reports, weekly excursion reports, quarterly SQRT meetings, audit requests and investigations. Track, close, and implement CAPAs Responsible for maintaining working knowledge of cGMPs and emerging regulatory and compliance concerns as related to aseptic manufacturing. Liaise with manufacturing, maintenance and aseptic trainers to appropriately schedule activities impacting the manufacturing areas. Here Is What You Need (Minimum Requirements) Applicant must have a bachelor's degree, discipline in a technical field such as engineering preferred, with 0+ years of experience; OR an associate's degree with 4 years of experience; OR a high school diploma (or equivalent) and 6 years of relevant experience Requires strong oral, written, communication, presentation and interpersonal skills. The position is self-directed and requires an appropriate level of education and experience to make and act upon decisions that impact the site from an aseptic standpoint. Requires thorough knowledge of GMP’s and aseptic processing. Must have the ability to handle multiple projects in a dynamic environment. Must have the ability to handle multiple projects in a dynamic environment Must be self-directed and requires an appropriate level of education and experience to make and act upon decisions that impact the site from an aseptic standpoint Pharmaceutical operations experience and/or knowledge Working knowledge of FDA regulations Knowledge of various quality tools Bonus Points If You Have (Preferred Requirements) Experience at a manufacturing site. Experience in aseptic manufacturing. Managing and writing deviations Experience in production batch record review, Enterprise Resource Planning system, investigation of non-conformance, root cause analysis and change control management Strong problem-solving skills Ability to work independently and as part of a team Excellent time management and multitasking abilities PHYSICAL/MENTAL REQUIREMENTS Must be able to function under a stressful situation while being able to remain focused on the necessary requirements. In addition, must be able to appropriately identify and escalate issues on a timely basis. Must be comfortable working in an Open Office setting. NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS Must be able to work on weekends, off shifts, and holidays as business demands. Work Location Assignment: On Premise The annual base salary for this position ranges from $66,500.00 to $110,900.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 7.5% of the base salary. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life’s moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site – U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States. Relocation assistance may be available based on business needs and/or eligibility. Sunshine Act Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider’s name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative. EEO & Employment Eligibility Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States. Quality Assurance and Control

NVIDIA leads in accelerated computing, crafting generative AI solutions. Our Networking Group innovates, providing powerful networking products for AI factories and cloud data centers. We are currently seeking an experienced Senior Product Marketing Manager, Data Center Networking to join our rapidly growing team responsible for a portfolio of AI networking products. As a key team member, you will develop and implement marketing plans that drive growth and adoption of our data center networking solutions. The ideal candidate will be a highly motivated and experienced professional who can effectively communicate the value and vision of our products to a diverse audience. If you bring a blend of business insight, technical expertise, and creative skills, we want to hear from you! What you’ll be doing: Develop and implement strategic marketing plans to drive growth and adoption of NVIDIA Networking solutions. Build and deliver compelling messaging and value propositions that resonate with target audiences through a wide range of assets both written and visual. Collaborate with cross-functional teams, including fellow product marketers, product managers, sales associates, and engineering leaders, to ensure alignment and consistency in product messaging and positioning. Identify and pursue new marketing opportunities to expand our reach and drive product adoption. Serve as a subject matter expert on our products and industry trends, effectively communicating our value and vision to diverse audiences. What we need to see: BS degree or equivalent experience; MS or MBA preferred. 7+ years of experience in product marketing roles within a data center infrastructure technology company, with a proactive approach to getting results. Proven track record of developing and implementing successful marketing strategies in a fast-paced environment. A strong mix of technical and business skills—comfortable engaging across marketing, engineering, and product management teams, with the ability to align diverse perspectives. Ability to work cross-functionally and influence key collaborators. Balance near-term needs and strategic business vision, adapt to changing priorities, and pivot when needed. Approach centered on solving customer challenges and driving measurable outcomes. An entrepreneurial spirit and enthusiasm for working on new products and technologies. Ability to navigate cross-cultural environments effectively. Ways to stand out from the crowd: Strong knowledge of data center networking, acceleration technologies, and market trends, with familiarity in software-defined networking, data platforms, cybersecurity, and the broader cloud infrastructure ecosystem. Examples of previous product marketing work, preferably written, that demonstrate your communication and storytelling skills as an evangelist for your prior product/solution. Product marketing experience in a global organization, demonstrating the ability to collaborate across business units and diverse teams. With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. This role presents an opportunity to have a wide impact at NVIDIA by improving the factory planning function. Are you creative, hard-working, dedicated, and determined? Do you love a challenge? If so, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 230,000 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 29, 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.