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Description Main Purpose: Assist with building and maintaining Excel spread sheets. Compile and record all costs associated with jobs, create transmittals and billing orders for processing. Essential Functions: Track all job-related costs in job trackers/excel Audit DSR Tracker / Invoices Build, modify, and maintain Excel Spread sheets Create and comprehend complex "if" formulas, nested formulas, and pivot tables Other responsibilities as determined by the supervisor Benefits Offered: Earned Wage Access Health, Dental, and Vision Insurance 401(k) with Company Match Paid Holidays Paid Vacation Life Insurance Disability Insurance Safety Awards Company Store Employee Assistance Program (EAP) Requirements Physical Requirements: Work is normally performed in a typical interior/office work environment. Work involves sitting and standing for prolonged periods of time. Bending, stooping, and lifting up to 15lbs. Job Requirements: Must be able to pass pre-employment physical and drug screen Must be able to pass background check Ability to effectively communicate in English, both verbally and in writing Must be able to build, maintain, and correct Excel spread sheets at an advanced level Desirable Experience, Education, and Training: High school diploma or equivalent Able to work in and independently and in team environment Experience in working with accounting software applications, Report writing applications and Programs Advanced with building, modifying and maintaining Excel spread sheets Tools, Equipment, and Technology: Basic knowledge working with Office Phones and copy machines Environmental Conditions: 85% to 90% of job duties ae performed in office environment Some outdoor activities are a requirement of the role including yard tours and jobsite visits Gulf Island will not sponsor applications for work visas. Additionally, applicants for employment with Gulf Island must be currently authorized to work in the United States on a full-time basis. Accordingly, Gulf Island will not consider applications from candidates who require the company to sponsor a work visa and who are not currently authorized to work in the United States on a full-time basis. Gulf island is not accepting unsolicited candidates from search firms for posted employment opportunities. Please no phone calls or emails. All resumes submitted by search firms to Gulf Island employees via email, the internet, or any other form and/or method without a valid written search agreement in place for the position will be deemed the sole property of Gulf Island. No recruiting placement fee will be paid in the event Gulf Island hires the candidate due to the referral or through other means.

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.

Built on meritocracy, our unique company culture rewards self-starters and those who are committed to doing what is best for our customers. Built on meritocracy, our unique company culture rewards self-starters and those who are committed to doing what is best for our customers. Brown & Brown is Seeking a Senior Director, Enterprise Data Protection to join our growing team. Based in Daytona Beach, Florida, this opportunity includes relocation support - inviting you to combine executive influence with a coastal lifestyle in a community rich with professional growth and personal balance. Are you a seasoned data protection leader passionate about building world-class programs that keep pace with rapidly evolving regulatory, privacy, and cybersecurity landscapes? We are looking for a highly skilled and experienced leader to establish and lead our enterprise-wide Data Privacy & Protection practice. Reporting to the Chief Data Officer, this high-impact role will shape and drive the strategy, execution, and governance required to protect sensitive client and company data in a hybrid-cloud, global operating model. How You Will Contribute: As the organizational champion for Data Classification and Protection, you will: Develop & Lead Strategy: Implement the Enterprise Data Protection Strategy, working in close partnership with the Chief Data Officer (CDO), Chief Information Security Officer (CISO), and Chief Technology Officer (CTO). Build a Scalable Practice: Launch and scale a Data Privacy & Protection practice that covers discovery, classification, tagging, loss prevention, and encryption - aligned to evolving regulations (e.g., GDPR, CCPA, HIPAA). Operationalize Controls: Define and oversee implementation of enterprise-wide policies, standards, technologies, and metrics to secure sensitive data wherever it resides - from on-prem to cloud to endpoint. Establish Inventory & Classification Frameworks: Develop and maintain a comprehensive inventory of data assets, implementing risk-aligned classification and protection controls. Enable the Business: Partner with delivery teams and business leaders to embed security into enablement, ensuring that privacy and protection accelerate - not inhibit - the pace of innovation. Drive Awareness & Accountability: Serve as the evangelist for data protection across the enterprise, creating and delivering training, awareness, and change management programs. Skills & Experience to Be Successful: Required Qualifications: Bachelor's degree in computer science, Information Security, or a related field (or equivalent experience) 10+ years of progressive experience in data protection, privacy, or security leadership Expertise in Data Loss Prevention (DLP) strategy and implementation Deep understanding of data discovery, classification, tagging, protection, and related risks and controls Hands-on experience with leading platforms such as Proofpoint, BigID, Varonis, etc. Proven experience writing and socializing policies and governance frameworks at scale Strong communication, facilitation, and cross-functional leadership skills Experience managing and integrating third-party managed services for delivery at scale Proven track record in matrixed, global, and hybrid team environments Preferred Qualifications: 15+ years of relevant experience with 5+ years in progressive leadership roles Direct experience securing data across multi-national environments with geo-specific regulations (e.g., GDPR, LGPD, etc.) Experience with Microsoft M365, hybrid cloud data centers, and related architecture Industry experience in insurance, financial services, or other highly regulated environments Why Daytona Beach? Relocation Support Provided: We'll help you and your family make a smooth transition. Florida Lifestyle: Enjoy coastal living, access to world-class beaches, warm weather, and no state income tax. Career Impact: Lead transformational data initiatives at scale in a collaborative, customer-obsessed culture. Team Culture: We work hard and celebrate wins together - bringing energy, professionalism, and purpose to everything we do. What we offer: Excellent growth and advancement opportunities Competitive pay based on experience Discretionary Time Off Generous benefits package: health, dental, vision, 401(k), etc. Employee Stock Purchase Plan Tuition Reimbursement and Student Loan Repayment Assistance Mental Health Resources #IH Teammate Benefits & Total Well-Being We go beyond standard benefits, focusing on the total well-being of our teammates, including: Health Benefits: Medical/Rx, Dental, Vision, Life Insurance, Disability Insurance Financial Benefits: ESPP; 401k; Student Loan Assistance; Tuition Reimbursement Mental Health & Wellness: Free Mental Health & Enhanced Advocacy Services Beyond Benefits: Paid Time Off, Holidays, Preferred Partner Discounts and more. Not reflective of all benefits. Enrollment waiting periods or eligibility criteria may apply to certain benefits. Benefit details and offerings may vary for subsidiary entities or in specific geographic locations. The Power To Be Yourself As an Equal Opportunity Employer, we are committed to fostering an inclusive environment comprised of people from all backgrounds, with a variety of experiences and perspectives, guided by our Diversity, Inclusion & Belonging (DIB) motto, "The Power to Be Yourself".

Job Description GBS Data Product Owner - Decatur, IL ; Chicago, IL or Alpharetta, GA This is a full-time, exempt level position About the Role: The Global Business Services (GBS) Data Product Owner will play a pivotal role in shaping a data-driven culture at a Fortune 50 company. Specifically, this role will lead the execution and delivery of data products that empower the organization through analytics, insights, and automation. Acting as the voice of the customer within agile development teams, you will own the product backlog, translate business requirements into technical features, maintain data integrity and governance, and ensure that data products deliver value continuously. Data products will support corporate functions, including order to cash (accounts receivable), source to pay (accounts payable), master data, and others end-to-end processes. As a key member of the ADM's Business Intelligence COE that is part of Global Business Services, the Data Product Owner will partner closely with the transactional teams, Accounting and Controlling, Treasury, and Global Technology Data & Analytics teams to evaluate detailed reporting from multiple ERPs and help design and optimize tools and platforms that makes handling supporting data more efficient for all users. This role reports to the Data Product Manager for ADM's Global Business Services. Job Responsibilities: Work closely with stakeholders, including Global Technology (IT)'s Data & Analytics product office, as a member of a fusion team to manage data product lifecycle (from ideation, design, development, enhancement, support and retirement). This includes backlog ownership, backlog prioritization, participation in agile execution activities, and support for the delivery of high quality data products (user testing, data validation, iterative improvements). Transform data into engaging and easy-to-understand dashboards, reports, and visual stories that drive actionable insights. Define Acceptance Criteria and provide approval in accordance to the defined criteria. Identify process subject matter experts within Global Business Services needed at each stage of the product lifecycle. Measure both the anticipated value and actual value of solutions developed in collaboration with GT-DNA. Identify key users for User Acceptance Testing (UAT) and drive/coordinate completion of UAT in alignment with product timelines. Manage business requirements gathering process across global and varied teams. Identify opportunities to further enhance data products, including enhancing Databricks-based products Monitor product performance and user engagement, collect feedback, and identify areas for improvement. Define and track KPIs relevant to data product success and usage. Document processes, create training materials, and promote best practices across teams. Transform data into engaging and easy-to-understand dashboards, reports, and visual stories that drive actionable insights and align with the defined GBS strategy Potential to serve as scrum master and/or provide data visualization enhancements Qualifications: 2-5 years of experience in product ownership, business analysis, or data/BI roles. Familiarity with Accounts Payable and Accounts Receivable processes. Experience working in agile teams focused on data or analytics solutions. Strong understanding of data pipelines, data warehousing, and business intelligence tools. Ability to work with SQL and interpret data models Excellent communication, problem-solving, and collaboration skills Additional Desired Qualifications: Demonstrated experience handling multiple projects Agile Product Owner certification (e.g., CSPO, SAFe PO/PM). Experience with modern data stacks (e.g., Databricks). Familiarity with data governance frameworks and regulatory compliance. Portfolio of dashboards and visualizations that demonstrate clear, impactful storytelling. Excited about this role but don't think you meet every requirement listed? We encourage you to apply anyway. You may be just the right candidate for this role or another one of our openings. ADM requires the successful completion of a background check. REF:98425BR

Position Title Associate Director of Admissions and Data Operations Requisition Number 9344BR College/Division National Technical Institute for the Deaf Required Application Documents Cover Letter, Curriculum Vitae or Resume Employment Category Fulltime Additional Details In compliance with NYS's Pay Transparency Act, the salary range for this position is listed above. Rochester Institute of Technology considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer. The hiring process for this position may require a criminal background check and/or motor vehicle records check. Any verbal or written offer made is contingent on satisfactory results, as determined by Human Resources. RIT does not discriminate. RIT promotes and values diversity, pluralism and inclusion in the work place. RIT provides equal opportunity to all qualified individuals and does not discriminate on the basis of race, color, creed, age, marital status, sex, gender, religion, sexual orientation, gender identity, gender expression, national origin, veteran status or disability in its hiring, admissions, educational programs and activities. RIT provides reasonable accommodations to applicants with disabilities under the Rehabilitation Act, the Americans with Disabilities Act, the New York Human Rights Law, or similar applicable law. If you need reasonable accommodation for any part of the application and hiring process, please contact the Human Resources office at 585-475-2424 or email your request to hr@rit.edu. Determinations on requests for reasonable accommodation will be made on a case-by-case basis. Required Minimum Education Level BA, BS How To Apply In order to be considered for this position, you must apply for it at: http://careers.rit.edu/staff . Click the link for search openings and in the keyword search field, enter the title of the position or the BR number. Required Qualifications Bachelor's degree 5+ years of experience working in educational or other professional settings with system-wide record management systems. Areas of specialization in Business, Information Systems, Marketing, Statistics and Management. American Sign Language proficiency expected or reasonable level of work involvement within deaf/hard of hearing communities utilizing a variety of communication strategies and modes; optimum commitment to acquiring ASL proficiency expected for the latter. Demonstrated proficiency creating and running reports to be imported (i.e., Excel) in formats for data presentation and analysis. Familiarity with deaf education, postsecondary education landscape, best admissions practices and future secondary and postsecondary education trends. Experience and skills, including business writing, effective receptive and expressive communication, supervising teams and working across departments/units. High level of attention to quantitative details and analytical scrutiny and accuracy working with student records. Ability to maintain high level of security and ethical standards when dealing with confidential information. Experience responding to requests for information, creation of queries in response to ad hoc requests and summarization and validation of data. Innate actions in keeping up with technological advancements and system upgrades. Preferred Qualifications 5+ years of experience working in higher education, preferably in Admissions, with system-wide record management systems. Experience with Slate, PeopleSoft/SIS, OnBase and/or other similar student records management software system and document imaging systems. Department/College Description Job Summary The Associate Director of Admissions and Data Operations is responsible for providing strategic, technical operational and managerial leadership to the RIT/NTID Office of Admissions and its affiliated units within the division. This includes optimizing, implementing, and managing data and technological systems for student recruitment (presently Slate, OnBase, PeopleSoft/SIS, ProSam) and supervising front-end personnel in support of application health and enrollment solutions in the RIT/NTID Office of Admissions. Duties include: Performing data maintenance and monitor procedural operations pertaining to the admissions application review process, database systems and business practices; Developing and maintaining queries and report generation for critical data collection and analyses within the office and division needs (pre-college outreach, regional STEM centers and programs, dual-credit projects); Implementing data-loading system processes and upgrades in support of efficiencies in building and maintaining teacher/stakeholder databases, application processing workloads, targeted and personalized marketing, and communication engagements with external audiences; Providing on-site leadership in the supervision and evaluation of front-end personnel, enrollment management system applications operators and student workers; and Performing strategic leader roles regarding Slate optimization and growth opportunities to support imminent trends and challenges in recruitment and engagement with external audiences. This position serves as a key member of the admissions leadership team steering student enrollment strategies. This position also partners with cross-functional teams: Undergraduate Admissions Office; Graduate Admissions and the Enrollment Management Systems Administration; NTID Communications, Marketing and Multimedia Services; Office of Financial Aid and Scholarships and other pertinent units within the Division. Some evening and weekend work may be required at times.

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Director Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Translating the vision, you set the tone, and inspire others to follow. Your role is crucial in driving business growth, shaping the direction of client engagements, and mentoring the next generation of leaders. You are expected to be a guardian of PwC's reputation, understanding that quality, integrity, inclusion and a commercial mindset are all foundational to our success. You create a healthy working environment while maximising client satisfaction. You cultivate the potential in others and actively team across the PwC Network, understanding tradeoffs, and leveraging our collective strength. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Lead in line with our values and brand. Develop new ideas, solutions, and structures; drive thought leadership. Solve problems by exploring multiple angles and using creativity, encouraging others to do the same. Balance long-term, short-term, detail-oriented, and big picture thinking. Make strategic choices and drive change by addressing system-level enablers. Promote technological advances, creating an environment where people and technology thrive together. Identify gaps in the market and convert opportunities to success for the Firm. Adhere to and enforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance) the Firm's code of conduct, and independence requirements. As part of the Data and Analytics Engineering team you lead the design and implementation of thorough data architecture strategies. As a Director, you drive thought leadership, promote technological advances, and create an environment where people and technology thrive together. This role involves collaborating with business stakeholders to translate data requirements into technical solutions and safeguarding data architecture compliance with governance and security policies. Responsibilities Lead the creation and execution of data architecture strategies Drive innovation and thought leadership in data solutions Collaborate with stakeholders to align technical solutions with business needs Maintain compliance with data governance and security protocols Promote an environment where technology and people excel together Translate complex data requirements into actionable technical plans Oversee the implementation of advanced data technologies Facilitate cross-functional collaboration to enhance data architecture What You Must Have Bachelor's Degree 10 years of experience What Sets You Apart Certification in Cloud Platforms [e.g., AWS Certified Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus Proficient in Python and structured/unstructured data Proficient in SQL and relational databases Writing and maintaining FastAPI endpoints for applications Understanding AI techniques enhancing LLMs Experience in prompt engineering for LLM outputs Developing scalable data storage solutions using cloud services Designing and managing data warehouses and data lakes Implementing IAM roles and policies for cloud platforms Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $155,000 - $410,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Director Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Translating the vision, you set the tone, and inspire others to follow. Your role is crucial in driving business growth, shaping the direction of client engagements, and mentoring the next generation of leaders. You are expected to be a guardian of PwC's reputation, understanding that quality, integrity, inclusion and a commercial mindset are all foundational to our success. You create a healthy working environment while maximising client satisfaction. You cultivate the potential in others and actively team across the PwC Network, understanding tradeoffs, and leveraging our collective strength. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Lead in line with our values and brand. Develop new ideas, solutions, and structures; drive thought leadership. Solve problems by exploring multiple angles and using creativity, encouraging others to do the same. Balance long-term, short-term, detail-oriented, and big picture thinking. Make strategic choices and drive change by addressing system-level enablers. Promote technological advances, creating an environment where people and technology thrive together. Identify gaps in the market and convert opportunities to success for the Firm. Adhere to and enforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance) the Firm's code of conduct, and independence requirements. As part of the Data and Analytics Engineering team you lead the design and implementation of thorough data architecture strategies. As a Director, you drive thought leadership, promote technological advances, and create an environment where people and technology thrive together. This role involves collaborating with business stakeholders to translate data requirements into technical solutions and safeguarding data architecture compliance with governance and security policies. Responsibilities Lead the creation and execution of data architecture strategies Drive innovation and thought leadership in data solutions Collaborate with stakeholders to align technical solutions with business needs Maintain compliance with data governance and security protocols Promote an environment where technology and people excel together Translate complex data requirements into actionable technical plans Oversee the implementation of advanced data technologies Facilitate cross-functional collaboration to enhance data architecture What You Must Have Bachelor's Degree 10 years of experience What Sets You Apart Certification in Cloud Platforms [e.g., AWS Certified Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus Proficient in Python and structured/unstructured data Proficient in SQL and relational databases Writing and maintaining FastAPI endpoints for applications Understanding AI techniques enhancing LLMs Experience in prompt engineering for LLM outputs Developing scalable data storage solutions using cloud services Designing and managing data warehouses and data lakes Implementing IAM roles and policies for cloud platforms Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $155,000 - $410,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Moving America forward - together. We've been forging our path as a leader in the distribution industry since 1894. Building an expansive nationwide network of team members for 130 years has allowed us to stay agile for our clients across the restaurant, retail, and e-commerce industries. We look to the future and are ready to continue making industry-defining moves by embracing the newest technology into our practices, continuing team member training, and emphasizing our people-centered culture. The Data Engineer III is a hybrid remote position which will require the candidate to report and work from the office three days a week. Therefore, interested candidates should be within a 50-minute radius from Temple, TX. Position Overview: Develop and maintain data processing software. Responsibilities include creating and optimizing data infrastructure, clean, prepare, and optimizes data for further analysis and modelling. Designs, develops, optimizes, and maintains data architecture and pipelines that adhere to Data Pipeline (i.e., ELT) principles and business goals. Lead complex data engineering projects and provide strategic guidance. Benefits you can count on: Day 1 Benefits: medical, dental, and vision insurance, FSA/HSA, and company-paid life insurance Paid holidays, earn vacation time, and sick leave accrual from day one. 401(k) Profit Sharing Plan after 90 days. Additional benefits: pet insurance, maternity/paternity leave, employee assistance programs, discount programs, tuition reimbursement program, and more! Essential Job Functions/Principal Accountabilities: Designs, develops, optimizes, and maintains data architecture and pipelines that adhere to ELT principles and business goals. Solves complex data problems to delivers insights that helps business achieve its goals. Architect and implement end-to-end data solutions. Define data engineering best practices and standards. Mentor junior engineers and collaborate with cross-functional teams. Creates data products for engineer, analyst, and data scientist team members to accelerate their productivity. Engineer effective features for modelling in close collaboration with data scientists and businesses. Leads the evaluation, implementation and deployment of emerging tools and process for analytics data engineering to improve productivity and quality. Partners with machine learning engineers, BI, and solutions architects to develop technical architectures for strategic enterprise projects and initiatives. Fosters a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions. Advises, consults, mentors, and coach other data and analytic professionals on data standards and practices. Develops and delivers communication and education plans on analytic data engineering capabilities, standards, and processes. Understands machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics as necessary to conduct role effectively. Performs other duties as assigned. Minimum Skills & Qualifications: Bachelor's degree in computer science, statistics, engineering, or a related field. 7 plus years of experience required. Deep understanding of distributed computing, data architecture, and scalability. Strong critical thinking skills and ability to address big data challenges. Leadership and project management abilities. Proficiency in designing and maintaining data warehouses and/or data lakes with big data technologies such as Spark/Databricks, or distributed databases, like Redshift and Snowflake, and experience with housing, accessing, and transforming data in a variety of relational databases. Proficiency in building data pipelines and deploying/maintaining them following modern DE best practices (e.g., DBT, Airflow, Spark, Python OSS Data Ecosystem). Proficiency in Software Engineering fundamentals and software development tooling (e.g., Git, CI/CD, JIRA) and familiarity with the Linux operating system and the Bash/Z shell. Proficiency with cloud database technologies (e.g., Azure) and developing solutions on cloud computing services and infrastructure in the data and analytics space. Basic familiarity with BI tools (e.g., Alteryx, Tableau, Power BI, Looker). Expertise in ELT and data analysis, SQL primarily. Conceptual knowledge of data and analytics, such as dimensional modelling, reporting tools, data governance, and structured and unstructured data. Working Conditions: Office environment Candidates may be subject to a background check and drug screen, in accordance with applicable laws. All applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. For our complete EEO and Pay Transparency statement, please visit https://www.mclaneco.com/legal/employment/ This position requires the ability to read, write, and understand English at a level sufficient to perform job-related tasks effectively and safely. This includes understanding work instructions, safety protocols, and communications essential to the role. The requirement is directly related to the nature of the job and ensures compliance with workplace safety and operational standards.

Our technology has no boundaries! NVIDIA is creating the world's most groundbreaking and innovative compute platforms for the world to use! It's because of our work that data engineers and data scientists can advance their ideas. We are looking for individuals to develop a data processing and ML platform for data scientists to use. As a data processing platform engineer, you will design, implement and operate Kubernetes based GPU accelerated data processing service at scale, with high availability and reliability. You will lead and encourage adoption of the data processing service, your work should improve time to first query (TTFQ) metrics, drive platform engagement metrics, and come up with innovative solutions that blends with pioneering Nvidia's enterprise scale data science platform. What you'll be doing: Optimize distributed computing infrastructure by analyzing cost and right sizing for latency and performance Identify KPIs and instrument metrics tracking for dashboards and alerting Enhancing and maintaining a robust scale, reliable, real-time data processing service Train data engineers, data scientists and production engineers how to adopt data processing workflows Participate in on-call rotation, run-book implementation and continuous process improvement What we need to see: Experience architecting, developing and deploying large-scale distributed systems at scale Strong Kubernetes experience on-premise and/or CSP, developing containerized microservices Hands on experience in the performance tuning/troubleshooting Spark applications Experience with distributed systems, databases, and big data systems like Ray, Spark Rapids Familiarity with metrics collection, health monitoring, and observability tools Building, operating and maintaining full stack software deployments coupled with excellent software programming skills Master's or Bachelor's degree in Computer Science or Electrical Engineering or CE or equivalent experience. A minimum of 5yrs experience with a background in software engineering and math Ways to stand out from the crowd: Prior data processing at scale on Nvidia GPUs Experience with CUDA and/or using Nvidia GPUs for ML/DL #LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until August 1, 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.

Our not-so-secret sauce. Award-winning, inclusive, Top Workplace culture doesn't happen overnight. It's a result of hard work by extraordinary people. More than 11,000 of the industry's brightest talent drive our efforts to deliver purposeful work and meaningful impact every day. Learn more about what makes us different and how you can thrive as a Senior Data Architect at Marsh McLennan Agency (MMA). MMA provides business insurance, employee health & benefits, retirement, and private client insurance solutions to organizations and individuals seeking limitless possibilities. With 200 offices across North America, we combine the personalized service model of a local consultant with the global resources of the world's leading professional services firm, Marsh McLennan (NYSE: MMC). A day in the life. As a Senior Data Architect on the Data team, you'll establish consistent data standards, reference architectures, patterns, and practices across the organization for both OLTP and OLAP (Data warehouse, Data Lake house) MDM and AI/ML technologies. You will define reference data architecture and work with agile teams to ensure the documented best practices are used in data platform development. Additionally, you'll create strategies and design solutions for a wide variety of use cases like Data Migration (end-to-end ETL process), database optimization, and data architectural solutions for Analytics Data Projects. You will also design, develop, and troubleshoot highly complex technical problems in OLAP/OLTP/DW, Analytics, and provide solutions for Enterprise-level Applications utilizing Azure Data Platform. Our future colleague. We'd love to meet you if your professional track record includes these skills: 10+ or more years of experience in Information Technology. 5 to 10 years of experience in Enterprise data architecture, Data, Modelling, Data management and Data strategy 5 to 7 years of experience in Cloud database technologies. 7 to 10 years of experience as a data architect Solid understanding of databases and the strengths and weaknesses of platforms and products, with the ability to provide a trusted voice at the decision-making table Expertise in creating ER (Entity Relationship), Logical, Physical, and Conceptual data models for an enterprise Experience in data modeling, streaming skills, and data architecture for operational and analytical datastores Proficiency in the design of batch and streaming data ingestion Knowledge in designing solutions with Data Quality, Data Lineage, and Data Catalogs Experience with solving performance challenges for a variety of velocities, latencies, and volumes of data Designing and maintaining the data models, including conceptual, logical, and physical data models Experience with SOA data layer utilizing data access frameworks and exposing data via web services Experience with Business Intelligence and data mart architecture Experience creating a data architecture vision between lines of business and IT Demonstrated competency in communicating the value of data architecture to stakeholders and senior management Experience in SDLC processes, database patterns, and development frameworks Strong interpersonal, verbal, and written communication skills, with the ability to develop and conduct executive-level presentations Experience crafting solutions that leverage data in NoSQL and SQL datastores for high availability and disaster tolerance Preferred experience with Kubernetes, Cloud Native ecosystem, and Data Lake/Data Warehouse technologies Deep expertise in Data engineering capabilities involving architecture, modeling (physical and logical), data governance, storage, security, resilience, and replication Knowledge of Informatica - IICS task flows development and maintenance Experience with MongoDB or another NoSQL database, PostgreSQL, or any relational database Experience with Azure, Data Lake, Databricks, SQL, ETL, and MDM Experience with data integration services such as Azure Data Factory Experience with business intelligence tools; Power BI or Qlik is preferred Experience in designing and building large-scale, enterprise systems in a highly available, scalable, performant, and distributed environment These additional qualifications are a plus, but not required to apply: Knowledge of Agency Management systems like Applied EPIC and Vertafore Sagitta, Benefit Point Microsoft Azure Data Engineer or other cloud certifications Data bricks experience and certification We know there are excellent candidates who might not check all of these boxes. Don't be shy. If you're close, we'd be very interested in meeting you. Valuable benefits. We value and respect the impact our colleagues make every day both inside and outside our organization. We've built a culture that promotes colleague well-being through robust benefit programs and resources, encourages professional and personal development, and celebrates opportunities to pursue the projects and causes that give colleagues fulfillment outside of work. Some benefits included in this role are: Generous time off, including personal and volunteering Tuition reimbursement and professional development opportunities Remote work Charitable contribution match programs Stock purchase opportunities To learn more about a career at MMA, check us out online: http://marshmma.com/careers or flip through our recruiting brochure: https://bit.ly/3Qpcjmw Follow us on social media to meet our colleagues and see what makes us tick: https://www.instagram.com/lifeatmma/ https://www.facebook.com/LifeatMMA https://www.linkedin.com/company/marsh-mclennan-agency/ Who you are is who we are. We embrace a culture that celebrates and promotes the many backgrounds, heritages, and perspectives of our colleagues and clients. We are always seeking those with ethics, talent, and ambition who are interested in joining our client-focused teams. Marsh McLennan and its affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers. #LI-Remote The applicable base salary range for this role is $113,000 to $197,800. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives. We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs. Applications will be accepted until: August 25, 2025

Description Our Regulatory Reporting Data & Automation Manager position is a highly visible and impactful position working on Huntington's regulatory financial filings. The primary responsibility will be to work across segments to drive the end-to-end automation of the required regulatory filings in compliance with the standards and guidance from the appropriate institution including the Federal Reserve, Federal Financial Institutions Examination Council (FFIEC) and Office of the Comptroller of the Currency, for Huntington Bancshares Incorporated and The Huntington National Bank, as well as work on other internal priority projects. Collaborate, build relationships and communicate requirements across the organization to gather reportable data, including providing business requirements to data partners (including IT and Finance Data Resource Group) and complete user acceptance testing of the resulting efforts. Identifies and works with others within the organization to improve reporting data and generate additional operational efficiencies while maintaining strong compliance with regulatory requirements. Collaborates with other Regulatory Reporting colleagues to ensure efficient and effective reporting and assists, as needed, with periodic reporting processes, including but not limited to the Call Report, FR Y-9C, FR Y-14M, FR Y-14Q, FR Y-14A, FFIEC 009, FR Y-15, Basel III, and other reports as needed. Ensures the maintenance of procedural documentation for the regulatory reporting process and execution of appropriate review controls. Identifies, articulates, and coordinates regulatory reporting issues with Risk Management, Internal Audit and Legal. Analyze results and provide insightful detail to management for trends and fluctuations. Special projects related to regulatory reporting efforts, as needed. Leads and participates in quality control efforts to ensure information used and reported in regulatory reports is consistent between reports and schedules, and with other internal and external reporting, as applicable. Basic Qualifications: Bachelor's degree in accounting, finance, economics, or information technology 7+ years of experience in auditing, regulatory and/or SEC reporting or regulatory related field. Preferred Qualifications: Public accounting and/or external financial reporting experience. Financial services sector experience. Control mindset and demonstrated ability for process improvement. Excellent written and verbal communication skills. · Detail oriented and highly organized. Enjoys working in a team environment. Strong problem solving and analytical skills. Ability to multi-task and self-prioritize tasks to assure each task is completed timely and accurately. Strong time management skills to allow for adherence to deadlines. Proficiency in Excel using advanced functions and complex formulas. Experience in banking regulations and/or core banking processes is considered a plus. Experience using Axiom/Adenza ControllerView Reporting software, Microsoft Office with Outlook, Access, Wdesk, Wdata, and Essbase knowledge considered a plus. 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: $70000-$140000 Annual Salary 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.

Job Description: Sr Staff Engineer - Finance Data Specialist GEICO is seeking experienced Finance Data specialists to provide expertise and guidance in supporting the build out of a Finance data lake/warehouse. This individual must have the ability to provide coaching to business teams and technologists by guiding, planning, and partnering at various levels. This specialist will partner with the engineering teams in the establishment of a new Finance Data Warehouse. This role requires strong functional and technical Finance Systems background to partner with the Business and have effective discussions driving the capture, transformation, and utilization of Finance data to meet Business goals. The Senior Staff Engineer, Finance Data Specialist will report to the Senior Manager of Finance Data & Analytics and will provide solutions on how to build out, maintain, and support a Finance Data Warehouse/Lake to support FP&A processing and analytics while also supporting the larger Finance organization's need for Finance data. This role will work with multiple Finance and Technology leaders to set the strategy for building out the company's Finance Data Warehouse/Lake to provide a central repository for all Financial related transactions so it can be a reconciled source of truth for processing and the source for Revenue and Expense analytics. The individual in this role will be a key advisor and partner to the Finance Leadership to redesign the way they use their technologies in managing GEICO's business. The Finance Data Specialist is also accountable to support the delivery of technology solutions that will support FP&A Planning/Budgeting, financial reporting, Revenue/Expense Analytics, and the build out of the Finance Data Warehouse to become a reconciled source to allow the GL to become a "thin" ledger. The ideal candidate has deep Finance Systems experience across multiple companies to support deploying best practices, leveraging their broad and deep knowledge of various ERPs (e.g. Oracle; Workday; SAP or PeopleSoft). Prior Financial Systems experience is required, with a deep understanding of the functional and technical aspects of ERP and Data Warehouse systems. Position Responsibilities As a Senior Staff Engineer, Finance Data Specialist supporting Finance Systems you will: Leverage your deep Functional and Technical systems expertise to drive towards the right solution to support the department and GEICO's current and future needs Engage in cross-functional collaboration throughout the entire software lifecycle Lead design sessions with peers to ensure systems are well designed, efficient, and meet Business expectations Collaborate with Finance Leaders within the FP&A, Controllers, Financial Reporting, and Finance QA & Systems team along with the Data Engineering and Finance Technology leaders to ensure organizational goals are met Have a deep understanding of Finance functions to support the establishment of a vision and technology roadmap to build out a Finance Data Lake/Warehouse Have a good understanding of finance data lake/mart with Data processing/data transformation using ETL/ELT tools such as Informatica, DBT, etc. Experience with designing, developing, implementing, and maintaining solutions for data ingestion and transformation projects Experience working with cloud data solutions (Delta Lake, Iceberg, Hudi, Snowflake, Redshift or equivalent) Support the development of a roadmap and then work towards implementing Revenue and Expense Analytical solutions Work with Business Sponsors to develop project roadmaps which align to business objectives and sequenced by priority and resource availability Support and influence customers and stakeholders, and work through divergent expectations Support the implementation of a strong control and governance framework and maintain it for SOX and Audit reviews Support Business and Technology discussions at various leadership levels to ensure alignment towards long term goals of Finance and Technology Analyze and translate business and functional specifications and change requests into technical specifications Consistently share best practices and improve processes within and across teams Qualifications 20+ years of Finance Systems experience with industry leading ERP solutions (e.g. implementing and supporting PeopleSoft; Oracle EBS; Oracle Cloud; Workday; or SAP) 5+ years of experience in implementing and supporting FP&A applications (Preferred) 5+ years working with or supporting a Finance Data Lake/Warehouse/Mart along with various Financial Reporting tools Solid understanding of Dimensional Data Modeling Strong working knowledge of Data processing/data transformation using ETL/ELT tools such as Informatica, DBT, etc. Strong working knowledge of SQL and the ability to write, debug and optimize SQL queries and ETL jobs 5+ years as a lead or architect supporting Financials via the major vendors (e.g. PeopleSoft; Oracle EBS; Oracle Cloud; Workday; or SAP) Deep Finance domain expertise to be able to work with senior Finance leaders to interpret their process and functional needs into system solutions Strong understanding of FP&A Budgeting, Planning, and Reforecasting processes Experience in implementing or supporting Revenue or Expense analytical solutions via tools such as Power BI, Tableau, etc. Strong understanding of Accounting process and reporting expectations to partner with senior Finance Leaders Ability to communicate and work directly with leaders across Technology and Finance Sound understanding of project management techniques, methodologies, and best practices Strong problem-solving abilities Ability to excel in a fast-paced environment Knowledge and experience with the software development life cycle Ability to work independently and in a team-oriented collaborative environment Education Bachelor's degree in Computer Science, Information Systems, Engineering, Business Administration, or equivalent education or work experience Annual Salary $115,000.00 - $260,000.00 The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations. At this time, GEICO will not sponsor a new applicant for employment authorization for this position. The GEICO Pledge: Great Company: At GEICO, we help our customers through life's twists and turns. Our mission is to protect people when they need it most and we're constantly evolving to stay ahead of their needs. We're an iconic brand that thrives on innovation, exceeding our customers' expectations and enabling our collective success. From day one, you'll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people's lives. Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career - and your potential - in mind. You'll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels. Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose. As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers. Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future. Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family's overall well-being. Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance. Access to additional benefits like mental healthcare as well as fertility and adoption assistance. Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year. The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled. GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

Platform Architect Data Center (m/f/d) Requisition ID: 44922 Job Location(s): Hamburg, DE Employment Type: Full Time Segment: Danfoss Climate Solutions Segment Job Function: R&D, Technology and Engineering Work Location Type: Hybrid Job Description We're looking for a skilled Platform Architect (m/f/d) to lead the design and development of data center's physical infrastructure at our location in Hamburg, Germany. In this role, you'll be responsible for creating the overall blueprint that brings together hardware systems, energy distribution networks, cooling solutions, and thermal management strategies. Your role will be key to keeping the data center running smoothly, efficiently, and sustainably by optimizing energy use and building on scalable infrastructure. Job Responsibilities Main responsibilities are: Thermal Load System Architecture Lead the design or retrofit of complete data center infrastructures, defining high-level system architecture from the transformer to the server. This includes reimagining energy supply systems, thermal management, and platform integration for both new builds and existing facility upgrades. Design and define complete thermal system architectures for both air- and liquid-cooled data centers. Develop full system P&IDs, including temperature levels, flow rates, and piping dimensions. Specify system-level requirements for simulation and performance modeling teams. System Design & Illustration Create clear, detailed system diagrams and technical illustrations to communicate infrastructure concepts. Support internal and external stakeholders with visual documentation of proposed solutions. 3.Customer Collaboration Act as a technical liaison between customers and internal product teams. Understand customer needs and translate them into tailored, high-efficiency system designs. 4.Innovation & IP Development Drive innovation in thermal and energy system design with a focus on sustainability and performance. Collaborate with the IP team to document and protect novel solutions through patents. Background & Skills Are you a seasoned system architect with a passion for data center innovation? Drive the future of data center infrastructure by transforming complex technical requirements into customer-focused solutions. In this role, you will plan, optimize, and execute data center projects, ensuring peak performance and continuous innovation in both new and retrofit environments. Key Requirements: Bachelor's degree in Plant Engineering, Mechanical Engineering (Thermal focus), Energy Engineering, or related field (Master's preferred). 8+ years of system architecture experience, ideally in data center thermal management (air and liquid-cooled systems). Proficiency in Revit, AutoCAD, or SolidWorks and understanding of simulation environments. Familiarity with current data center thermal management trends and large-scale data center experience a plus. Excellent communication skills, experience with Matrix If you're a technical expert with system-level thinking and a customer-centric approach, apply now! WHY YOU SHOULD BE INTERESTED At Danfoss, we're engineering the future, more sustainable data centers. As a Platform Architect (m/f/d), you'll lead the design of our physical infrastructure-covering hardware layout, thermal management, energy systems, and cooling technologies. Your work will ensure our data centers are efficient, scalable, and built for a greener future. Here are some additional reasons why you should consider joining Danfoss for this role: Driving Sustainable Transformation: At Danfoss, we are driving the sustainable transformation of tomorrow. Our work in data center cooling solutions directly contributes to the efficiency and sustainability of data centers globally, making a significant impact on a greener planet. Innovation and Professional Growth: At Danfoss, we're at the forefront of data center cooling innovation. You'll work with cutting-edge technologies and collaborate with experts across disciplines, all while growing your skills in a supportive work environment. Customer Impact and Leading Technology: Our solutions are trusted by customers around the globe. As a Platform Architect, you'll help design and maintain systems that deliver real-world impact, improving performance, reliability, and sustainability for our partners. Join us at Danfoss and be part of this exciting journey! At Danfoss, we believe that a diverse and inclusive workplace fosters creativity, innovation, and a broader perspective in decision-making. When you consider this job posting, do you feel like your profile is not a perfect match? Numerous studies have found that women and people of color are more likely to apply only when they meet all requirements listed in the job posting. Even if you do not check all the boxes, we encourage you to apply anyway. We are curious to find out how you can bring new insights to the role or to Danfoss as an organization For further information please contact Catharina Cuerten, Talent Acquisition Specialist, at +49 69 8902107 Employee Benefits We are excited to offer you the following benefits with your employment: Bonus system Paid vacation Flexible working hours Possibility to work remotely Pension plan Personal insurance Communication package Opportunity to join Employee Resource Groups State of the art virtual work environment Employee Referral Program This list does not promise or guarantee any particular benefit or specific action. They may depend on country or contract specifics and are subject to change at any time without prior notice. Danfoss - Engineering Tomorrow At Danfoss, we are engineering solutions that allow the world to use resources in smarter ways - driving the sustainable transformation of tomorrow. No transformation has ever been started without a group of passionate, dedicated and empowered people. We believe that innovation and great results are driven by the right mix of people with diverse backgrounds, personalities, skills, and perspectives, reflecting the world in which we do business. To make sure the mix of people works, we strive to create an inclusive work environment where people of all backgrounds are treated equally, respected, and valued for who they are. It is a strong priority within Danfoss to improve the health, working environment and safety of our employees. Following our founder's mindset "action speaks louder than words", we set ourselves ambitious targets to protect the environment by embarking on a plan to become CO2 neutral latest by 2030. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or other protected category. . Danfoss engineers solutions that increase machine productivity, reduce emissions, lower energy consumption, and enable electrification. Our solutions are used in such areas as refrigeration, air conditioning, heating, power conversion, motor control, industrial machinery, automotive, marine, and off- and on-highway equipment. We also provide solutions for renewable energy, such as solar and wind power, as well as district-energy infrastructure for cities. Our innovative engineering dates back to 1933. Danfoss is family-owned, employing more than 39.000 people, serving customers in more than 100 countries through a global footprint of 95 factories. Danfoss engineers solutions that increase machine productivity, reduce emissions, lower energy consumption, and enable electrification. Our solutions are used in such areas as refrigeration, air conditioning, heating, power conversion, motor control, industrial machinery, automotive, marine, and off- and on-highway equipment. We also provide solutions for renewable energy, such as solar and wind power, as well as district-energy infrastructure for cities. Our innovative engineering dates back to 1933. Danfoss is family-owned, employing more than 39.360 people, serving customers in more than 100 countries through a global footprint of 95 factories.

The Data team leverages data from our autonomous vehicles and operations to determine autonomy and service readiness. We provide the foundation for strategic decision-making at Zoox. You will develop and implement the next generation of our data pipeline to ensure visibility into our business as we scale toward the launch of an autonomous mobility service. You will define the system and build the pipeline to enable Zoox to develop and scale with a data-first culture. You will join a diverse, experienced team with rapidly growing scope and responsibility while also having access to one of the most unique data sets in the autonomous vehicle industry. Hence, we are seeking all skill levels to grow with the team. In this role, you will: Design, build, and maintain the infrastructure that transforms autonomous vehicle data at scale to support analytics throughout the company Define and execute on how data from perception, prediction, planning and other parts of the autonomous stack is consumed to generate valuable insights by data scientists, engineers, and business users Establish robust data integrity monitoring so that company-wide metrics are based on accurate data Partner with engineering and product teams to define data consumption patterns and establish best practices Qualifications BS/MS degree in a technical field Experience designing and building complex data infrastructure at scale Advanced Structure Query Language (SQL) and data warehousing experience Experience operating a workflow manager such as Airflow Experience with large scale streaming platforms (e.g. Kafka, Kinesis), processing frameworks (e.g. Spark, Hadoop) and storage engines (e.g. HDFS, HBase) Bonus Qualifications Exceptional Python or Scala skills Basic fluency in C++ Familiarity with or exposure to experimentation platforms A strong DataOps mindset and opinions on next-generation warehousing tools $192,000 - $260,000 a year Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

Description: At Lockheed Martin Aeronautics we are committed to shaping the future of aviation! Our Aeronautics Supply Chain team is passionate about delivering innovative, affordable, and agile solutions that exceed our customer's expectations. The supply chain team touches every product and service we deliver and enables our customers to do the impossible every day. At Aeronautics, we leverage problem solving, creativity, and data to tackle the most exciting challenges in the industry. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work. You have arrived at your career destination! Join us! Watch this video to learn more about why we work at Lockheed Martin! Who You Are You'll perform as a Data Visualization, Illustrator Analyst, Staff What You Will Be Doing You'll be a highly experienced and skilled Team Lead joining our team in the development and creation of a new Illustrated Parts Breakdown (IPB) manual for the F-35 aircraft. As a Team Lead, you will have the opportunity to lead a talented team of data analysts and illustrators in producing a comprehensive and accurate IPB manual that meets the specific needs and requirements of the F-35 program. What's In It For You From on-site to hybrid, we offer flexible work schedules to comprehensive benefits investing in your future and security, Learn more about Lockheed Martin's comprehensive benefits package here. Do you want to be part of a company culture that empowers employees to think big, lead with a growth mindset, and make the impossible a reality? We provide the resources and give you the flexibility to enable inspiration and focus -if you have the passion and courage to dream big, work hard, and have fun doing what you love then we want to build a better tomorrow with you. Further Information About This Opportunity This position is located in Fort Worth, TX à Discover Fort Worth. Basic Qualifications: At least 5 years of experience in a leadership or management role, preferably in a technical writing or engineering environment. Experience in leading teams and managing projects, with a proven track record of success Desired Skills: Experience in the development and creation of technical documentation and/or data governance such as IPB manuals, is highly desirable Experience with F35 engineering and sustainment data systems such as PDM, Provisioning, SFM, Engineering drawings, VAS, etc. Experience with project management and project management methodologies Security Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration. Clearance Level: Secret Other Important Information You Should Know Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings. Ability to Work Remotely: Part-time Remote Telework: The employee selected for this position will work part of their work schedule remotely and part of their work schedule at a designated Lockheed Martin facility. The specific weekly schedule will be discussed during the hiring process. Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits. Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration. At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work. With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility. If this sounds like a culture you connect with, you're invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications. Experience Level: Experienced Professional Business Unit: AERONAUTICS COMPANY Relocation Available: Possible Career Area: Publications and Graphic Arts Type: Full-Time Shift: First

We are Covestro. We are curious. We are courageous. We are colorful. We refine chemical material solutions with game-changing products. Let us empower you to push boundaries. Join us and our 18,000 colleagues now and together we will make the world a brighter place. What we Offer This position is responsible for implementing new and managing existing products in the Specialty Films product portfolio from an SAP operational data and product safety/compliance perspectives. The incumbent is responsible for developing, creating and managing product related data and processes in addition to modifying /programming the various systems / databases. Major Tasks & Responsibilities: Set up and management of material master data for raw materials, intermediates, and finished good products in the various systems including but not limited to: GSLO, PARIS, NMR, P1P, JTS/Product Management Database, etc. Processes steps for complex, multi-step products such as multi-layer films, slit/sheet films, coated films, and tolling operations. Maintains the P1P variant configuration tables for configurable products. Works with Production and Controlling to determine the appropriate units of measures, conversion factors, BOMs, routings, work centers, and manages the data in the system. Works with global Film SAP experts (from both business and O& I teams) to implement modifications and improvements to the system/processes to satisfy film business requirements and to increase efficiency and effectiveness of the system/processes. Supports customer related master data for SF NA such as reviewing Tableau/C4C dashboards and implements changes to improve the data quality for the business Support production at the South Deerfield site for material consumption Support site MES project and other project support as needed What you Offer Basic Qualifications Bachelor's degree in technical field required with 1 year experience in technical development, product development, or related function or 10+ years' experience with a film or sheet product development/ SAP master data. Preferred Qualifications Knowledge of TPU/PC film products, markets, applications and customers highly preferred. Strong computer proficiency a must, with SAP knowledge highly preferred YOUR APPLICATION Are you as curious, courageous and colorful as we are? If so, we can offer you an exciting career opportunity. We look forward to receiving your application and resume. Become part of our team - apply now! Equal Employment Opportunity: Hiring and advancement are based on job-related requirements and on an individual's qualifications to perform a job. All aspects of employment are carried out free of discrimination or harassment based on race, color, religion, sex (including pregnancy), national origin, age, disabilities, genetic information, veteran status, sexual orientation, gender identity/gender expression or any unlawful criterion, existing under applicable federal, state, or local law. Contact Us Info-Hotline: +1 844-522-6775 If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access this site as a result of your disability. To make a request, please call (412) 413-2736.

At PitchBook, we are always looking forward. We continue to innovate, evolve, and invest in ourselves to bring out the best in everyone. We're deeply collaborative and thrive on the excitement, energy, and fun that reverberates throughout the company. Our extensive learning programs and mentorship opportunities help us create a culture of curiosity that pushes us to always find new solutions and better ways of doing things. The combination of a rapidly evolving industry and our high ambitions means there's going to be some ambiguity along the way, but we excel when we challenge ourselves. We're willing to take risks, fail fast, and do it all over again in the pursuit of excellence. If you have a good attitude and are willing to roll up your sleeves to get things done, PitchBook is the place for you. About the Role: As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation. We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other's words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us! The PitchBook Product team is seeking a leader to join our Data Strategy team. This leader will be responsible for setting the direction and driving results for credit data at PitchBook. This requires a deep understanding and experience with credit markets, particularly in how credit data is collected, captured, displayed, and used by clients. You will work closely with our Data Operations, Technology, Marketing, Sales, and other Product teams to define the product strategy, develop roadmaps, and drive new user engagement through delivering intuitive and seamless product improvements. Primary Job Responsibilities: Be the authoritative point person on your dataset, demonstrating exceptional knowledge of the data and capabilities needed by our clients Manage and develop a high-performing team of analysts, fostering a culture of collaboration, accountability, and continuous improvement Actively define the product roadmap for your dataset, prioritize the backlog, and create business cases to outline new strategic product opportunities Champion client needs, pain points, and business opportunities across the organization and develop a shared understanding of the product area vision Compile market intelligence on the competitive position of your dataset and driving internal communication of those findings throughout the organization Work closely with the Data Operations team in Mumbai, helping to set and hit quality, efficiency, and timeliness goals needed for the success of your dataset Communicate effectively and efficiently with your team and other stakeholders to provide updates on project progress, address roadblocks, and celebrate wins Provide training and ramping support to new members of the team, both locally and abroad Act as a subject matter expert on calls with clients and prospects when required Support the vision and values of the company through role modeling and encouraging desired behaviors Participate in various company initiatives and projects as requested Skills and Qualifications: Bachelor's degree with strong academic performance in Computer Science, Math, Statistics, Finance, Accounting, or related field. CFA charter holder strongly preferred 10+ years of previous experience with credit markets 5+ years in a leadership roles, managing teams and leading strategic initiatives Exemplary verbal and written communication skills and comfortable engaging with a diverse array of audiences Self-motivated and goal-oriented attitude and can work effectively as an individual or as part of a team Strong bias for action and willingness to roll up your sleeves and do what is necessary to meet team goals Ability to leverage analytics and data to drive product decision making Interest in financial markets or services Proficiency with the Microsoft Office suite including in-depth knowledge of Outlook, Word, and Excel with the ability to pick up new systems and software easily Benefits + Compensation at PitchBook: Physical Health Comprehensive health benefits Additional medical wellness incentives STD, LTD, AD&D, and life insurance Emotional Health Paid sabbatical program after four years Paid family and paternity leave Annual educational stipend Ability to apply for tuition reimbursement CFA exam stipend Robust training programs on industry and soft skills Employee assistance program Generous allotment of vacation days, sick days, and volunteer days Social Health Matching gifts program Employee resource groups Subsidized emergency childcare Dependent Care FSA Company-wide events Employee referral bonus program Quarterly team building events Financial Health 401k match Shared ownership employee stock program Monthly transportation stipend Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment. Compensation Annual base salary: $175,000-$200,000 Target annual bonus percentage: 15% Working Conditions: At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments-those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices-that simply can't be replicated remotely. This role is expected to be in the office 5 days a week. The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events. Life At PB: We are consistently recognized as a Best Place to Work and our culture is at the heart of our success. It's our fundamental belief that people do and create great things and that people are the cornerstone of prosperity. We believe that proactively seeking out different points of view, listening to others, learning, and reflecting on what we've heard creates a sense of belonging within PitchBook and strengthens the PitchBook community. We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook. #LI-MS1

Our not-so-secret sauce. Award-winning, inclusive, Top Workplace culture doesn't happen overnight. It's a result of hard work by extraordinary people. More than 11,000 of the industry's brightest talent drive our efforts to deliver purposeful work and meaningful impact every day. Learn more about what makes us different and how you can thrive as a Senior Data Architect at Marsh McLennan Agency (MMA). MMA provides business insurance, employee health & benefits, retirement, and private client insurance solutions to organizations and individuals seeking limitless possibilities. With 200 offices across North America, we combine the personalized service model of a local consultant with the global resources of the world's leading professional services firm, Marsh McLennan (NYSE: MMC). A day in the life. As a Senior Data Architect on the Data team, you'll establish consistent data standards, reference architectures, patterns, and practices across the organization for both OLTP and OLAP (Data warehouse, Data Lake house) MDM and AI/ML technologies. You will define reference data architecture and work with agile teams to ensure the documented best practices are used in data platform development. Additionally, you'll create strategies and design solutions for a wide variety of use cases like Data Migration (end-to-end ETL process), database optimization, and data architectural solutions for Analytics Data Projects. You will also design, develop, and troubleshoot highly complex technical problems in OLAP/OLTP/DW, Analytics, and provide solutions for Enterprise-level Applications utilizing Azure Data Platform. Our future colleague. We'd love to meet you if your professional track record includes these skills: 10+ or more years of experience in Information Technology. 5 to 10 years of experience in Enterprise data architecture, Data, Modelling, Data management and Data strategy 5 to 7 years of experience in Cloud database technologies. 7 to 10 years of experience as a data architect Solid understanding of databases and the strengths and weaknesses of platforms and products, with the ability to provide a trusted voice at the decision-making table Expertise in creating ER (Entity Relationship), Logical, Physical, and Conceptual data models for an enterprise Experience in data modeling, streaming skills, and data architecture for operational and analytical datastores Proficiency in the design of batch and streaming data ingestion Knowledge in designing solutions with Data Quality, Data Lineage, and Data Catalogs Experience with solving performance challenges for a variety of velocities, latencies, and volumes of data Designing and maintaining the data models, including conceptual, logical, and physical data models Experience with SOA data layer utilizing data access frameworks and exposing data via web services Experience with Business Intelligence and data mart architecture Experience creating a data architecture vision between lines of business and IT Demonstrated competency in communicating the value of data architecture to stakeholders and senior management Experience in SDLC processes, database patterns, and development frameworks Strong interpersonal, verbal, and written communication skills, with the ability to develop and conduct executive-level presentations Experience crafting solutions that leverage data in NoSQL and SQL datastores for high availability and disaster tolerance Preferred experience with Kubernetes, Cloud Native ecosystem, and Data Lake/Data Warehouse technologies Deep expertise in Data engineering capabilities involving architecture, modeling (physical and logical), data governance, storage, security, resilience, and replication Knowledge of Informatica - IICS task flows development and maintenance Experience with MongoDB or another NoSQL database, PostgreSQL, or any relational database Experience with Azure, Data Lake, Databricks, SQL, ETL, and MDM Experience with data integration services such as Azure Data Factory Experience with business intelligence tools; Power BI or Qlik is preferred Experience in designing and building large-scale, enterprise systems in a highly available, scalable, performant, and distributed environment These additional qualifications are a plus, but not required to apply: Knowledge of Agency Management systems like Applied EPIC and Vertafore Sagitta, Benefit Point Microsoft Azure Data Engineer or other cloud certifications Data bricks experience and certification We know there are excellent candidates who might not check all of these boxes. Don't be shy. If you're close, we'd be very interested in meeting you. Valuable benefits. We value and respect the impact our colleagues make every day both inside and outside our organization. We've built a culture that promotes colleague well-being through robust benefit programs and resources, encourages professional and personal development, and celebrates opportunities to pursue the projects and causes that give colleagues fulfillment outside of work. Some benefits included in this role are: Generous time off, including personal and volunteering Tuition reimbursement and professional development opportunities Remote work Charitable contribution match programs Stock purchase opportunities To learn more about a career at MMA, check us out online: http://marshmma.com/careers or flip through our recruiting brochure: https://bit.ly/3Qpcjmw Follow us on social media to meet our colleagues and see what makes us tick: https://www.instagram.com/lifeatmma/ https://www.facebook.com/LifeatMMA https://www.linkedin.com/company/marsh-mclennan-agency/ Who you are is who we are. We embrace a culture that celebrates and promotes the many backgrounds, heritages, and perspectives of our colleagues and clients. We are always seeking those with ethics, talent, and ambition who are interested in joining our client-focused teams. Marsh McLennan and its affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers. #LI-Remote The applicable base salary range for this role is $113,000 to $197,800. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives. We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs. Applications will be accepted until: August 25, 2025

Data at Brex Our Scientists and Engineers work together to make data - and insights derived from data - a core asset across Brex. But it's more than just crunching numbers. The Data team at Brex develops infrastructure, statistical models, and products using data. Our work is ingrained in Brex's decision-making process, the efficiency of our operations, our risk management policies, and the unparalleled experience we provide our customers. What You'll Do As a Data Scientist focused on Product Analytics, you will work closely with Product, Engineering, and Customer Success teams to understand the interactions between product engagement, customer retention, and overall customer growth. Your work will be instrumental in shaping product decisions by uncovering insights into how customers interact with Brex's platform, identifying opportunities to refine the product experience, optimize user workflows, and introduce impactful changes that increase long-term customer value and drive sustainable revenue growth. The ideal candidate has experience leveraging product intuition and advanced analytics to understand customer behavior, measure product impact on revenue retention and growth, and derive insights through causal inference and predictive modeling. They should also have a strong ability to translate data insights into actionable recommendations for product and business teams. Where you'll work This role will be based in our San Francisco office. You must be willing to work in office at least 2 days per week on Wednesday and Thursday. Employees will be able to work remotely for up to 4 weeks per year. Responsibilities: Develop and apply data-driven methodologies to analyze customer behavior, retention trends, and product adoption, focusing on how product changes impact long-term customer value. Design and implement predictive models, causal inference methods, as well as experimentation strategies to measure and optimize the effect of product changes on customer growth and engagement. Partner with Product, Engineering, and Customer Success teams to identify key opportunities for improving customer engagement and long-term retention. Collaborate with Data Engineering to build scalable data pipelines that support product analytics and reporting. Clearly communicate findings and strategic recommendations to both technical and non-technical stakeholders. Requirements: Master's degree or Ph.D. in Statistics, Computer Science, Economics, or a related quantitative field. 3+ years of experience in a data science, analytics, or related role focused on product analytics. Strong experience with SQL and Python (or R) for data analysis and modeling. Proficiency in A/B testing methodologies, causal inference, and predictive modeling. Ability to translate complex data insights into strategic business recommendations. Familiarity with BI tools (e.g., Tableau, Looker) and data visualization best practices. Strong problem-solving skills and the ability to work in a fast-paced, cross-functional environment. Bonus Points: Experience working in B2B SaaS or fintech. Experience in developing frameworks to measure feature adoption and identifying product opportunities that drive customer lifetime value. Familiarity with product analytics tools (e.g., Amplitude, StatSig). Compensation The expected salary range for this role is $152,000 - $190,000. However, the starting base pay will depend on a number of factors including the candidate's location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.