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Data Engineer, Senior The Opportunity: Ever-expanding technology and collection met hodologies means that there is more structured and unstructured data available today than ever before. As a data engineer, you know that organizing big data can yield pivotal insights when it’s gathered from disparate sources. As a Data Engineer at Booz Allen, you’ll implement data engineering activities on some of the most mission-driven projects in the industry. You’ll deploy and develop pipelines and platforms that organize and make disparate data available and meaningful. Here, you’ll work with a multi-disciplinary team of data engineers, developers, and data consumers in a fast-paced, agile environment. Work with us to use data for good. Join us. The world can’t wait. You Have: 3+ years of experience with data pipelines, including data acquisition, data prep, and database architecture, to make data easily searchable and retrievable 3+ years of experience in ETL development using Java, Python, SQL, or Scala 2+ years of experience with PostgreSQL or Kafka Experience with AWS services, including RDS and RDS Aurora Ability to work independently and as part of a team TS/SCI clearance with a polygraph Bachelor’s degree in a CS field Ability to obtain a Security+ Certification within 6 months of start date Nice If You Have: Experience with Kafka ecosystem tools such as Kafka Connect and Kafka Streams Experience with NiFi Experience with infrastructure-as-code tools such as Terraform or Ansible Experience with Agile development met hodologies Experience working on real-time data and streaming applications Ability to pay strict attention to detail Possession of excellent problem-solving and analytical skills Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information ; TS/SCI clearance with polygraph is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Why join CompuNet? CompuNet values its people more than any other asset—and realizes the contributions made by each employee are a reflection of their education, experience, certifications, expertise and passions. We strive to take care of each other, do the right thing and help our customers succeed. We work to build lasting relationships and are proud that our customers across many industries see us as a trusted advisor. Putting the customer at the center of every engagement, our mission is to design, test, deploy and support the right IT solutions for every customer. We offer a generous total compensation package for our employees, including competitive wages, medical, dental, vision, PTO, company-matching retirement plans, profit-sharing and more. What You'll Do Our engineers are the foundation of success for our customers and our business. We are seeking a Solutions Engineer with a Modern Infrastructure focus to join our team in Bozeman, Montana. This role will provide value for our clients in both pre-sales design and post-sales implementation. This role will perform the following responsibilities: Collaborate with the sales team to build a winning strategy for our clients. Perform necessary Pre-Sales technical functions to create systems designs. Build Bill of Materials (BoM), create illustrations and diagrams and provide Statements of Work (SoW). Relay technical information to both technical and non-technical staff. Post-Sales Implementation of systems designed. Produce post Implementation project documentation. Provide proficient end-user systems administration training (post implementation) of CompuNet installed solutions. Develop strategic relationships with our key manufacturer Partner SE's. Key Expectations of this role: Listen to and address customer technical challenges and design the right solution that meets the customer business needs. Ability to communicate on a high level regarding multiple technologies. Relay technical information to both technical and non-technical staff. Maintain existing certifications and grow to new areas with certification. Participate in all team functions including calls, meetings, events, etc. Technologies that this role will encompass are below: Converged and Hyper-Converged (HCI) solutions Storage Block, File & Object Connectivity Fibre Channel iSCSI Virtualization Design, deployment and maintenance vSphere Hyper-V Virtual network connectivity Cloud (not required but recommended some understanding) Understanding of public & private clouds Azure AWS CGP Data Protection Backup and Restore (Not all are required) Veeam Cohesity Rubrik Disaster Recovery Business Continuity Microsoft Active Directory (not required but recommended to have some level of understanding) Baseline understanding of Microsoft Active Directory and Windows Server components like DHCP, DNS & PKI Networking (Basic Networking) Fundamentals required for connectivity between data center, hybrid and cloud components Who you are You’re a strong team player that is invested in helping your customers succeed and contributing to a great team. You have the following knowledge, skills, abilities and/or education: 3-5 years of experience preferred Demonstrated ability to work independently and bring order to ambiguous situations Ability to work on different projects in a simultaneous fashion (i.e. multiple customer projects in the same time period). Ability to relay technical information to both technical and non-technical staff. Exceptional problem solving and organizational skills. Excellent time management and independent work skills. Excellent verbal and written communication skills. Who we are CompuNet, Inc. is an engineering-led IT solution provider that offers consulting, design, and professional services. Our strength lies in our team of outcome-driven and relationship-focused professionals with a long history of designing IT solutions. Our team of highly skilled engineers take the lead in designing, developing, and implementing solutions that address complex business challenges. This team takes ownership for the entire project lifecycle, from discovery and design through deployment, training, and handoff. We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, disability status, protected veteran status or any other characteristic protected by law.

Product Data Management Specialist (Mid-Level or Senior) Company: The Boeing Company The Boeing Defense, Space & Security (BDS) is seeking a Product Data Management Specialist (Mid-Level or Senior) to join the team based in Colorado Springs, CO. The Senior Product Data Management Specialist will lead software configuration and data management activities for critical defense and space programs at our Colorado Springs site. You will drive PDM/PLM tool administration, enforce data governance, manage configuration baselines and change processes, and work closely with engineering, suppliers, and IT to ensure accurate, traceable product information throughout the lifecycle. This role is pivotal to delivering on-time, compliant systems and improving digital engineering practices across programs. Position Responsibilities: Maintain and administer software configuration management (SCM) systems (version control, branching, merging) Define, implement, and enforce configuration and change control processes for software baselines Create and manage release and build plans, coordinate software builds, packaging, and deployments Track and audit configuration items, baselines, and change histories to ensure traceability Support continuous integration/continuous delivery (CI/CD) pipelines and automated build/test workflows Review and approve change requests, manage configuration audits, and ensure compliance with process/policy Collaborate with development, test, product, and operations teams to resolve configuration issues Produce and maintain configuration management plans, procedures, and documentation Troubleshoot SCM tooling and process issues; recommend and implement tooling/process improvements Provide training and guidance to team members on configuration management practices and tools Basic Qualifications (Required Skills/Experience): This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. A final U.S. Secret Clearance Post-Start is required 3+ years of experience in product data management, configuration management, or related discipline Practical experience with PDM/PLM/CM tools (e.g., Teamcenter, Windchill, ENOVIA) Knowledge of software configuration management Experience with data governance, naming conventions, and traceability practices Demonstrated ability to lead cross-functional teams and coordinate with suppliers and IT Strong problem-solving skills and experience using metrics/dashboards to drive improvements Excellent written and verbal communication skills Preferred Qualifications (Desired Skills/Experience): Active U.S. Security Clearance 5+ years of related work experience or an equivalent combination of education and experience NDIA Certification Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range for Mid-Level (Level 3): $90,100.00 - $140,300.00 Summary pay range for Senior (Level 4): $112,200.00 - $151,800.00 Language Requirements: Not Applicable Education: Not Applicable Relocation: This position offers relocation based on candidate eligibility. Export Control Requirement: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.62 is required. “U.S. Person” includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Safety Sensitive: This is not a Safety Sensitive Position. Security Clearance: This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Top Secret Clearance Post-Start is required. Visa Sponsorship: Employer will not sponsor applicants for employment visa status. Contingent Upon Award Program This position is not contingent upon program award Shift: Shift 1 (United States of America) Stay safe from recruitment fraud! The only way to apply for a position at Boeing is via our Careers website. Learn how to protect yourself from recruitment fraud - Recruitment Fraud Warning Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law. EEO is the law Boeing EEO Policy Request an Accommodation Applicant Privacy Boeing Participates in E – Verify E-Verify (English) E-Verify (Spanish) Right to Work Statement Right to Work (English) Right to Work (Spanish)

Description TLA is seeking a detail-oriented and analytical Data Analyst to transform complex data sets into actionable business insights. The ideal candidate will be responsible for the full lifecycle of data analysis, including data collection, cleaning, interpretation, and presentation of findings to stakeholders to drive strategic decision-making across the organization. Key Responsibilities: Data Collection & Management: Collect data from primary and secondary sources, and maintain databases and data systems to ensure accuracy and integrity. Data Cleaning & Preparation: Clean, filter, and transform raw data to remove inconsistencies and prepare it for analysis, ensuring high data quality. Statistical Analysis: Apply appropriate statistical methods and techniques to interpret data, analyze trends, and identify patterns and correlations that provide valuable business insights. Reporting & Visualization: Develop and maintain reports, interactive dashboards, and Key Performance Indicators (KPIs) using data visualization tools to communicate findings in an understandable format for non-technical stakeholders. Problem Solving: Collaborate with cross-functional teams (e.g., Marketing, Finance, Operations) to understand business requirements, define analytical needs, and provide data-driven recommendations to solve complex problems and improve processes. Documentation: Create clear and concise documentation of data sources, analysis processes, and results to ensure reproducibility and transparency. Process Improvement: Identify and implement opportunities to automate and streamline data collection and reporting processes for improved efficiency. Required Skills and Experience: · Proficiency in SQL: Essential for querying and managing data in relational databases, including advanced functions like joins and aggregations. · Strong Excel Skills: Advanced proficiency with spreadsheet software, including pivot tables, VLOOKUP/INDEX-MATCH, and complex formulas for data manipulation and quick analysis. · Programming Languages: Experience with statistical programming languages such as Python (using libraries like Pandas, NumPy, and Matplotlib) or R for complex analysis and automation. · Data Visualization Tools: Hands-on experience with Business Intelligence (BI) and data visualization platforms ( Tableau or Microsoft Power BI preferred). · Statistical Knowledge: Solid understanding of statistical concepts, including hypothesis testing, regression analysis, and A/B testing. Soft Skills · Analytical and Critical Thinking: The ability to logically approach complex problems, ask the right questions, and evaluate data objectively. · Communication Skills: Excellent written and verbal communication skills, with the ability to translate technical findings into clear, compelling narratives for diverse audiences. · Attention to Detail: Meticulous attention to detail to ensure the accuracy and reliability of data and analysis. · Problem-Solving Abilities: A proactive mindset to troubleshoot data issues and find innovative solutions. · Collaboration: Strong interpersonal skills and the ability to work effectively within a team environment and with various stakeholders. Experience and Education Bachelor’s degree in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, or a related discipline. Preferred Certifications and Qualifications: While not required, the following certifications are a plus: · Microsoft Certified: Power BI Data Analyst Associate · Google Data Analytics Professional Certificate · Certified Analytics Professional (CAP) AWS Certified Data Analytics – Specialty (for roles involving cloud platforms) Requirements Preferred Certifications and Qualifications: While not required, the following certifications are a plus: · Microsoft Certified: Power BI Data Analyst Associate · Google Data Analytics Professional Certificate · Certified Analytics Professional (CAP) AWS Certified Data Analytics – Specialty (for roles involving cloud platforms)

About Middesk Middesk makes it easier for businesses to work together. Since 2018, we’ve been transforming business identity verification, replacing slow, manual processes with seamless access to complete, up-to-date data. Our platform helps companies across industries confidently verify business identities, onboard customers faster, and reduce risk at every stage of the customer lifecycle. Middesk came out of Y Combinator, is backed by Sequoia Capital and Accel Partners, and was recently named to Forbes Fintech 50 List and cited as an industry leader in business verification by digital identity strategy firm, Liminal. The Role We are actively building AI-driven applications that streamline customer workflows, focusing on business onboarding. With our proprietary identity data assets and deep domain expertise, we are uniquely positioned to expand into a broader set of AI-powered solutions that drive long-term growth. We’re looking for a hands-on applied ML expert to help build the technical foundation for these efforts. Ideally you have shipped external-facing models in the risk/fraud space and know the messy realities of imbalanced data, low labels, and changing behavior. This is a highly technical, hands-on role with wide influence on how we design, build, and scale ML at Middesk. What You'll Do: Build risk & fraud ML applications: Deliver production ML models in fraud, trust & safety, KYB, and compliance domains, with measurable impact on customer workflows. Tackle hard data problems: Work on classification problems with extreme class imbalance, sparse signals, and “cold start” label challenges. Innovate in feature engineering & labeling: Use graph-based techniques, weak supervision, LLMs, and AI agents to improve signal extraction and automate labeling process. Establish ML infrastructure foundations: Partner with platform engineering team to design feature services, model training pipeline, model serving standards, and orchestration to scale multiple ML use cases. What We’re Looking For: 7+ years applied ML experience, with direct impact in risk, fraud, trust & safety, compliance, or adjacent high-stakes domains. Proven track record of shipping ML models from research to production in external-facing products. Expertise in classification with real-world challenges, for example: imbalanced labels, sparse signals, cold start, and production version management. Hands-on ML infrastructure experience: feature stores, model management, ML training/serving pipelines. Comfort as a senior IC: setting technical direction, mentoring peers, and establishing best practices. Nice to Haves: B2B SaaS experience, ideally building ML products for enterprise customers. MLE/engineering collaboration experience, or direct MLE work on ML pipelines and services. Familiarity with graph, LLM-based feature generation, or AI agent workflows. Experience scaling ML across multiple products or risk domains.

At Stewart, we know that success begins with great people. As a Stewart employee, you’ll be joining a company that was named a 2024-2025 Best Company to Work For by U.S. News & World Report, and a 2025 Top Workplace by USA Today. We are committed to helping you own, develop, and nurture your career. We invest in your career journey because we understand that as you grow, so does our company. And our priority is smart growth – by attaining the best people, investing in tools and resources that enable success, and creating a better home for all. You will be part of an inclusive work environment that reflects the customers we serve. You’ll be empowered to use your unique experiences, passion and skills to help our company and the communities we serve constantly evolve and improve. Together, we can achieve our vision of becoming the premier title and real estate services company. Stewart is a global real estate services company, providing title insurance, settlement, underwriting, and lender services through our family of companies. To learn more about Stewart, visit stewart.com/about . More information can be found on stewart.com . Get title industry information and insights at stewart.com/insights . Follow Stewart on Facebook @StewartTitleCo, on Instagram @StewartTitleCo and on LinkedIn @StewartTitle Job Description Job Summary Collects, analyzes, monitors, and reports on the organization’s financial matters, managing and ensuring compliance with the organization’s financial policies, professional standards and all laws. Centralized Escrow Accounting (CEA) Service Center provides escrow accounting and related services to substantially all affiliated offices including wire processing, transfers and bank reconciliations, 1099s and escheat reporting, centralized bank account documentation management, management of customer-driven investments and monitoring of daily transactions and positive pay. Job Responsibilities Performs a wide range of support functions to assist in departmental processes Follows clearly defined procedures to complete daily tasks and responsibilities Uses existing procedures to solve straightforward problems without the consistent need to exercise discretion Uses basic communication skills to address internal and/or external clients and/or team members Individual contributor working under direct supervision with little autonomy Performs all other duties as assigned by management Education High school diploma required; Bachelor’s preferred Experience Typically requires 0-2 years of related work experience Equal Employment Opportunity Employer S tewart is committed to ensuring that its online application process provides an equal employment opportunity to all job seekers, including individuals with disabilities. If you have a disability and need assistance or an accommodation in the application process, please contact us by email at careers@stewart.com . Benefits Stewart offers eligible employees a competitive benefits package that includes, but is not limited to a variety of health and wellness insurance options and programs, paid time off, 401(k) with company match, employee stock purchase program, and employee discounts.

🏛️ About GovWell We the people (and the taxpayers) deserve good government — but today, interacting with government services is often frustrating and inefficient. GovWell is building the AI-powered platform that transforms how governments serve communities, starting with local agencies. Our first product helps municipal and county governments modernize complex services like permitting and licensing. GovWell combines a highly configurable SaaS system of record with generative AI that automates work for staff, guides residents through services, and is radically simple to deploy. Founded in 2023, GovWell powers 3,000+ critical processes for agencies in 29 states serving millions of residents. We’ve raised $9.5M in seed funding from Work-Bench and Bienville Capital, and work in person at our HQ in New York City. Read more about our founding story in TechCrunch . ☀️ Why GovWell? A mission that matters: Building AI-powered products to fix outdated government systems isn’t just a technical challenge—it’s a historic opportunity to improve our foundational relationship with government and ensure trillions of tax dollars result in high quality services. WATCH: Mission & Vision with CEO & Co-Founder Troy LeCaire Real-world impact: GovWell’s product is the system of record for government services that affect millions of Americans. From streamlining permitting for small businesses to accelerating affordable housing development, your work will make an immediate difference. Join a startup in hyper-growth: We’ve found product-market fit and are scaling the business very quickly (4X ARR growth in the last year). As an early team member, you’ll learn what it takes to build a successful startup. You’ll work closely with the founders while enjoying exceptional autonomy and ownership over your work. 🌟 Role overview GovWell is hiring a Data Solutions Engineer to help governments transition from legacy systems to modern software. You’ll own customer data migrations and GIS onboarding end-to-end, working directly with government teams to map schemas, validate data, and ensure accurate, complete data is loaded into GovWell’s platform. This role reports directly to Ben Cohen, Co-Founder and CTO, and works closely with Product, Engineering, and Deployment to make onboarding faster, more reliable, and increasingly repeatable as GovWell scales. We have a hybrid work culture that combines regular in-person collaboration at our New York City office (3+ days per week) with flexibility to work remotely. 💻 What you’ll do Execute customer data migrations and GIS onboarding end-to-end, working directly with government staff to understand source systems, configure mappings and ingestion settings, run validations and dry-runs, and ensure accurate, complete data is loaded into GovWell. Own onboarding data quality and correctness by identifying gaps, inconsistencies, and edge cases in legacy data; making documented judgment calls within defined constraints, and preventing bad or unsafe data from entering production. Serve as the primary technical point of contact during onboarding, leading customer calls, clearly explaining data requirements and tradeoffs, and guiding agencies through the transition from legacy systems to GovWell with confidence. Operate and improve repeatable onboarding processes using internal tools, templates, and playbooks to reduce time-to-launch, minimize manual work, and ensure migrations and GIS ingestion become increasingly predictable as volume scales. Provide structured feedback to Product and Engineering teams by documenting recurring issues, unmet assumptions, and tooling gaps encountered during migrations, helping inform platform and process improvements without introducing one-off solutions. 🧠 Who you are 2–3+ years of hands-on experience in data solutions, data migrations, ETL/onboarding, technical implementations, or a closely related role involving messy, real-world data. Strong SQL proficiency used in practice for data validation, reconciliation, and troubleshooting. Experience working directly with customer-provided data, including interpreting poorly documented schemas, resolving inconsistencies, and making tradeoffs to deliver usable outcomes. Strong data quality and validation instincts: able to identify risky data issues early, run effective QA, and prevent incorrect data from reaching production. Comfortable interfacing directly with non-technical stakeholders, clearly explaining technical constraints, requirements, and tradeoffs in calm, plain language. Highly reliable and execution-oriented: you take full ownership of migrations end-to-end, communicate proactively, and deliver on deadlines. Process-driven and disciplined: you follow playbooks, avoid one-off solutions, and contribute to making onboarding more repeatable as GovWell scales. Motivated by the real-world impact that clean, trusted data has on helping governments serve residents better. 🖥️ Our tech stack SQL – your core tool for validation, reconciliation, and troubleshooting Airflow – for managing data migration pipelines PostgreSQL – our core database Python – used in data workflows and automation Hex – your general-purpose data tool for loading, transforming, and QAing data RedwoodJS, GraphQL, TypeScript, AWS – the broader software engineering environment you’ll interact with 💸 Compensation and benefits Compensation within the posted salary band will be commensurate with experience. All offers will include: Competitive base salary. Equity / stock options. Medical, dental, and vision insurance. 401(k) program. #LI-AC1

Title: Agriculture Intern, Data AnalyticsLocation: Kennewick, WAJob Requisition ID: Req-259829Time Type: Full time About Lamb Weston You’ve probably enjoyed our fries without even knowing it! As a leading manufacturer in our industry, and public Fortune 500 company, we inspire and bring people together with foods they love and trust. Our customer base includes international food service providers, restaurants, and households in over 100 countries around the world. A highly innovative global corporation with a start-up mindset, we empower every individual to make a genuine difference. You’ll gain access to hands-on training to fuel your growth and success, explore opportunities for new solutions, and you’ll join a winning team of 10,000+ people all dedicated to raising the bar – together. If you have a strong drive for results, a desire to help us bring the world together through our fries, and are ready for a fresh challenge, we want to hear from you. Job Description Summary Participate in a paid internship program built around your career goals and hands-on projects that impact the organization. As part of the Lamb Weston University Recruiting Internship Program, Interns work towards completing a Capstone project and are assigned a mentor who will guide and evaluate performance. Whether you are interested in Agricultural Science, Data Science, Finance, Supply Chain, IT, Manufacturing, Food Science, Marketing, or Engineering, our highly selective summer intern program has projects that will help you build the next stage in your career.Paid internship, May – August (actual dates may vary)Gain real-world working experience through dynamic projects assigned by your mentor and assigned departmentNetwork and learn from executives, department leaders, high performers, and fellow interns across the businessReceive guidance and feedback from your assigned mentor throughout the programProfessional development events providing tools that will help after the internship and after graduation Job Description The Agriculture Intern, Analytics Intern will be a contributing member of a team responsible for crop analytics across North America supporting critical decision-making related to the sourcing of billions of pounds of potatoes. This intern is a resource to the Sr. Manager Ag Analytics and will help progress our crop analytics and reporting capabilities by building data visualizations, automating data pipelines, and improving predictive crop modeling. The intern will gain insight into numerous datasets used for crop analytics including weather data, input pricing, field sampling, potato quality, and yields. This internship offers the opportunity to gain experience with real-world applications of data science curriculum. The intern will be working in collaboration with other members across the North American Ag Services team. Duties & Responsibilities include: Automating Data pipelines within our department’s various systems. Improve yield modeling training and execution through automated ETL process. Build API connections to relevant internal and external Ag datasets. Build Power BI dashboards. Import open-source satellite imagery. Basic & Preferred Qualifications Must be a current Junior, Senior, or Master’s student enrolled in a related program: Data Engineering, Computer Science, Business Analytics or related field Minimum GPA 3.0 preferred This is a full-time position with 8-hour shifts Monday-Friday, but a successful candidate may need to occasionally flex to other shifts (example: 2nd shift, night shift) as part of your capstone project Valid U.S. driver’s license and ability to meet the Lamb Weston Authorized Driver standards Experience with data modeling, automation, warehousing and building ETL pipelines Experience with AWS technologies – S3, Lambda, & Glue preferred. Experience with Power BI preferred. GCP and Azure equivalents such as Snowflake, Python and or any ETL Tools is a plus Industry-Competitive Benefits Coupled with our compensation and bonus incentive programs, our benefits deliver rewards that are market competitive. Some of the most attractive elements of our benefit programs include: Health Insurance Benefits - Medical, Dental, Vision Flexible Spending Accounts for Health and Dependent Care, and Health Reimbursement Accounts Well-being programs including companywide events and a wellness incentive program Paid Time Off Financial Wellness – Industry leading 401(k) plan with generous company contributions, Financial Planning Services, Employee Stock purchase program, and Health Savings Accounts, Life and Accident insurance Family-Friendly Employee events Employee Assistance Program services – mental health and other concierge type services Benefits may vary based on location, job role/level, job status, and/or the terms of any applicable collective bargaining agreements. Anticipated Close Date The anticipated close date is a good faith estimate for when this job will be closed. Some jobs may be unposted or filled earlier or later than the Anticipated Close Date depending on interview processes and business needs.Anticipated Close Date: 03/23/2026 Pay Transparency In compliance with applicable state and local laws, Lamb Weston has opted to include a reasonable estimate of the compensation for this role. This compensation is specific to this position and takes into account a number of variables. Actual compensation may be higher or lower in the range posted based on various factors, including, but not limited to, job duties, experience and expertise. A candidate’s work location could also impact the actual compensation being outside of the range to reflect local cost of labor. A reasonable hourly estimate for this role based on the variables previously mentioned is listed below.Pay Rate or Range: $22.00 Equal Opportunity Employer Lamb Weston is an Equal Opportunity Employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status or any other protected factor under federal, state or local law

The Opportunity Lesley University is seeking an experienced financial leader to join our team as the Associate Vice President of Financial Planning, Data, and Analysis (AVP). This is an exciting opportunity for a strategic thinker and change agent to serve as the architect of financial models in collaboration with the CFO, playing a key role in shaping the university’s financial future. Reporting to the Chief Financial Officer (CFO), the AVP will be responsible for developing and managing financial models, leading the university’s annual budget process, and overseeing financial analysis and key metric reporting. The AVP will collaborate with university leadership to ensure the institution’s financial health through data-driven decision-making, revenue and expense analysis, and the development of financial reporting improvements. This role will also serve as the primary liaison for the university’s financial systems, ensuring system integrity and seamless integration with financial platforms. Key responsibilities include leading the budget preparation process, providing timely financial reports to senior leadership, evaluating program sustainability, and identifying opportunities for operational efficiencies. Additionally, the AVP will work closely with the Associate VP of Finance/Controller to support financial close processes and prepare for audits and external reviews. Qualities and Capabilities A successful candidate will have: A Bachelor’s degree in finance, accounting, or data analytics; MBA preferred. 10+ years of financial experience, with a minimum of five years in a leadership role. Strong technical and professional accounting skills, with expertise in financial modeling and data analysis. Advanced proficiency in Excel, PowerPoint, and data mining, with experience using Workday Adaptive and Colleague preferred. Familiarity with ERP systems, budgeting, and forecasting tools. Ability to independently lead projects accurately and on time is required. Excellent communication and problem-solving skills, with the ability to engage with all levels of university leadership. A track record of driving financial and operational change, identifying inefficiencies, and implementing improvements. A collaborative mindset and ability to balance high-level strategy with hands-on execution. Why Lesley Located in the heart of Cambridge, Massachusetts, Lesley University is highly regarded for its graduate and undergraduate programs in the human arts of education, the arts, and applied social sciences. Lesley fosters a highly creative environment in which innovative ideas thrive, theory is integrated with practice and its 6,400 students and 90,000 alumni are empowered to improve and enrich communities. We offer a competitive benefits package that includes health, dental, life, and long-term disability insurance. In addition, we offer significant paid time off, a generous retirement plan, and tuition programs that enable employees and their dependents to expand their knowledge and skills. Lesley is committed to the ongoing pursuit of strategic diversity initiatives that help to position diversity, equity, and inclusion as fundamental to institutional and academic excellence at Lesley. In doing so, Lesley strives for a campus culture and community that fosters a true sense of belonging for all, provides opportunity for everyone to participate equally and fully in the Lesley experience, and helps to develop each individual's capacity to confidently and competently engage within and across difference. Given an evolving national context and the rapid change in the demographic profile of our country, the University has made a significant commitment to addressing and enhancing its campus climate and diversity capabilities as an institution. Expressing Interest A letter of interest, CV/resume, and a statement addressing past and/or potential contributions to diversity, equity, and inclusion through teaching, professional activity, and/or service must be included for full consideration. At Lesley University we strive for a supportive and equitable environment where people -- regardless of race, ethnicity, color, sex, physical ability, religion, national origin or ancestry, age, neurodiversity, sexual orientation, gender identity or expression, genetic information, veteran or military status, membership in uniformed services, and all other categories protected by applicable state and federal laws -- can participate equally and fully as their true selves in all aspects of university life. Accordingly, the University prohibits discrimination based on these protected categories in any education program or activity that it operates, including in admission and in employment. We are committed to diversity, equity, and inclusion throughout the fabric of our institution. Individuals may submit concerns or questions related to discrimination to the University's Director of Equal Opportunity. Please visit the Office of Equal Opportunity's webpage for the University's entire notice of nondiscrimination and for additional information. Base Pay Range: $166,978 - $191,866 annually

About the Institute of Foundation Models We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. The Role As a Data Engineer specializing in Natural Language Processing (NLP) and large-scale data processing, you will quickly and effectively gather, curate, and prepare high-quality datasets to support cutting-edge NLP research. Your role will be instrumental in enabling researchers by delivering essential data through efficient and scalable engineering practices, including web crawling, LLM-generated content refinement, and robust data pipelines, primarily leveraging Python and related technologies. Key Responsibilities Rapidly collect, curate, and preprocess datasets based on detailed specifications provided by NLPresearchers,delivering data within tight timelines. Develop and maintain efficient web crawling solutions, APIs, and automated workflows to continuously improve data collection processes. Refine and evaluate outputs from Large Language Models (LLMs) to generate structured datasets suitable for model training and benchmarking. Implement scalable data pipelines, ensuring efficient data processing, storage, retrieval, and distribution to research teams. Collaborate closely with researchers and engineers to ensure collected data meets specified quality and relevance criteria. Document data collection methodologies, dataset characteristics, and pipeline architecture clearly and effectively. Engage with peer teams and participate in technical reviews to uphold best practices and data quality standards. Represent MBZUAI at industry and research forums, showcasing technical capabilities in large-scale data processing and AI data infrastructure. Academic Qualifications Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical field required Master’s degree or PhD degree or equivalent experience in Computer Science, Data Engineering, or related technical fields preferred. Professional Experience- Required Extensive experience in data engineering, data processing, and automation using Python. Demonstrated proficiency in designing and deploying web crawling solutions, automated data extraction, and processing pipelines. Strong understanding of data structures, algorithms, databases, SQL, and performance optimization. Experience working with cloud infrastructure and distributed data processing frameworks (e.g., AWS, Spark, Kafka, Kubernetes). Excellent problem-solving abilities, attention to detail, and the capability to rapidly address technical challenges. Strong communication and collaboration skills with cross-functional teams. Professional Experience- Preferred Proven track record of supporting NLP or AI research teams with rapid and reliable data delivery. Experience working with large language models, including evaluation, efficient inference, and prompt engineering. Experience with refining outputs from large-scale AI models, such as LLM-generated data. Contributions to open-source projects, coding competitions, or high visibility in coding communities (e.g., GitHub, Stack Overflow). Familiarity with the latest advancements in NLP data processing and large language model technologies. $150,000 - $450,000 a year Visa Sponsorship This position is eligible for visa sponsorship. Benefits Include *Comprehensive medical, dental, and vision benefits *Bonus *401K Plan *Generous paid time off, sick leave and holidays *Paid Parental Leave *Employee Assistance Program *Life insurance and disability

Company Description We are Olsson. We engineer and design solutions that improve the world around us. As a company, we promise to always be responsive, transparent, and focused on results – for our people, our clients, and our company. We’re a people-centric firm, so it’s no surprise our greatest asset is our people. The impact this creates is an environment that encourages our people to grow and be creative with their talents. This approach builds a culture that is uniquely Olsson. It allows us to grow our people as we grow our business. This, in turn, creates a lasting impact on the world around us. Job Description Olsson has an opportunity to work with one of the world’s largest technology companies. As a Revit Drafter, you will manage complex data center construction projects, oversee construction closeout processes, perform field verification audits, and ensure projects stay on schedule with high quality. This role balances in-office and field tasks and is ideal for a design-focused professional with a keen eye for detail and a passion for innovative solutions. Qualifications You are passionate about: Working collaboratively with others. Having ownership in the work you do. Using your talents to positively affect communities. You bring to the team: You bring to the team: Strong communication skills Ability to contribute and work well on a team Strong attention to detail Ability to work in a fast-paced environment Bachelor’s degree in construction management, engineering, or other related field preferred Construction and engineering knowledge Experience with Revit and AutoCAD #LI-DD1 Additional Information Olsson specializes in engineering and design, client advisory services, planning, field services, and environmental. Improving the world has been our mindset from the very beginning, back when Olsson first opened for business in 1956. And it will be our mindset for years to come. As an Olsson employee, you will: Receive a competitive 401(k) match Be empowered to build your career with tailored development paths Have the possibility for flexible work arrangements Engage in work that has a positive impact on communities Participate in a wellness program promoting balanced lifestyles In addition, full-time employees will receive our traditional benefits package (health care, vision, dental, paid time off, etc.) and the opportunity to participate in a bonus system that rewards performance. Olsson is an Equal Opportunity Employer. We encourage qualified minority, female, veteran, and disabled candidates to apply and be considered for open positions. We do not discriminate against any applicant for employment or any employee because of race, color, religion, national origin, sex, sexual orientation, gender identity, gender, disability, age, military status, or other protected status. Olsson understands the importance of privacy and is committed to protecting job applicants’ personal information. Pursuant to the California Consumer Privacy Act, as amended by the California Privacy Rights Act (collectively, the “CCPA”), this notice explains Olsson’s practices regarding the collection, use, and disclosure of personal information for job applicants residing in California. Please read this Notice carefully to understand our privacy practices. For more information about the types of information we collect and how we use it in connection with your general access and use of our website, please review our general California Privacy Notice here .

Job Description: Senior DataScientist – Promo Analytics Applicants must be authorized to work in the U.S.; Sponsorship is not available for this position. INNOVATE without boundaries ! At Milwaukee Tool we firmly believe that our People and our Culture are the secrets to our success—so we give you unlimited access to everything you need to provide support to your business unit. Behind our doors you'll be empowered every day to own it, drive it, and do what it takes to support the biggest breakthroughs in the industry. Meanwhile, you'll have the support and resources of the fastest-growing brand in the construction industry to make it happen. Your Role on Our Team : As a Senior Data Scientist – Promo Analytics , you will deliver innovative analytics solutions that enable Milwaukee Tool to make fast, data-driven decisions about promotional strategies. Working closely with business partners and the Promo Analytics pod , you will design, build, and support the core systems that power our promo analytics capabilities. You will develop scalable machine learning models and forecasting tools to optimize promotions, ensuring trusted and actionable insights across the organization. You’ll build deep expertise in our promotional data and drive advanced analytics initiatives. Success in this role requires curiosity, a passion for experimentation, and the ability to operate independently while effectively engaging with stakeholders to elevate our team and deliver value to our customers. You’ll be DISRUPTIVE through these duties and responsibilities: Design and build machine learning and forecasting models to optimize promotional strategies and deliver measurable business value. Develop, validate , and deploy advanced statistical and ML models for pricing, promotion, and revenue management. Translate business needs into actionable data science projects and deliverables within the promo analytics domain. Apply best practices in model development, experimentation, and continuous improvement to ensure analytics excellence. Analyze large, complex datasets using Databricks, Azure, and other modern data platforms to uncover actionable insights. Build and maintain analytics tools and templates to support team productivity and solution delivery. Conduct root cause analysis for promo analytics issues and contribute to long-term remediation and reliability improvements. Collaborate with Data Engineers, Product Owners, Business Intelligence Engineers, and other technical team members in a pod structure. Work directly with marketing and sales teams to understand business challenges and deliver impactful analytics solutions. Perform other duties as assigned. The TOOLS you’ll bring with you: Bachelor’s degree in Statistics, Mathematics, Computer Science, Data Science, or a related field, or equivalent experience. 5 or more years of experience in data science, advanced analytics, or a closely related technical field. Advanced proficiency in statistical modeling, machine learning, and analytics techniques. Proficiency in at least one programming language used for data science (Python preferred ) Hands-on experience building, validating , and deploying machine learning and forecasting models in production environments. Experience with cloud-based data science platforms (Databricks, Azure Machine Learning, or similar). Demonstrated ability to develop and implement statistical and ML models for business impact, ideally in pricing, promotion, or revenue management. Knowledge of experimental design, A/B testing, and model evaluation best practices. Ability to work independently and collaboratively within cross-functional teams. Strong problem-solving, debugging, and analytical skills, especially in complex, multi-system environments. Ability to thrive in agile, dynamic, and collaborative teams, and to communicate complex analytics clearly to technical and non-technical audiences. Other TOOLS we prefer you to have: Experience with advanced machine learning techniques (e.g., time series forecasting, causal inference, uplift modeling, optimization, or reinforcement learning). Familiarity with promo, pricing, or revenue management analytics. Experience with Databricks, Azure Machine Learning, or similar cloud-based data science platforms. Experience with experimentation frameworks (A/B testing, multivariate testing). Knowledge of data visualization tools (e.g., Power BI, Tableau, matplotlib, or similar). Experience working with large, complex datasets in a business context. Experience collaborating in Agile, cross-functional teams. Strong communication skills for presenting complex analytics to technical and non-technical audiences. Working Conditions: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Frequently required to stand, walk, bend, stretch, reach , and effectively communicate with others in the workplace Sitting for prolonged periods of time Prolonged exposure to computer screens Repetitive use of hands and fingers to operate of fice equipment, machinery , hand tools and/or power tools Specific vision abilities required by this job include close vision, color vision, peripheral vision, depth perception, and ability to adjust focus May require to wear personal protective equipment which includes, but is not limited to, safety glasses, gloves, and hearing protection May work in laboratories and /or controlled, enclosed, restricted areas Noise levels range from moderate to loud Must be able to lift up to 50 pounds at a time May require travel dependent on company needs We provide these great perks and benefits: Robust health, dental and vision insurance plans Generous 401 (K) savings plan Education assistance On-site wellness, fitness center, food, and coffee service And many more, check out our benefits site HERE . Milwaukee Tool is an equal opportunity employer.

About Norm Ai Norm Ai, the leading Legal & Compliance AI company, has a client base with a combined $30 trillion in assets under management. By turning legal code into AI code, Norm enables enterprises to move faster and more comprehensively in their legal and compliance processes with reliability and trust. Norm’s platform combines frontier AI, proprietary legal reasoning systems, and embedded legal and regulatory expertise. We have recently raised more than $140 million, backed by Blackstone, Bain Capital, Vanguard, Citi, New York Life, TIAA, Coatue, Craft Ventures, Henry R. Kravis (KKR co-founder), and Marc Benioff (Salesforce CEO). Norm Ai pioneered Legal Engineering, the process that empowers lawyers to build and supervise domain-specific AI agents with Norm’s proprietary suite of no-code software tools. We hired dozens of lawyers from premier U.S. law firms and trained them as Legal Engineers, who specialize in Large Language Model powered legal workflows. Norm Ai technology is deployed inside many of the largest and most consequential institutions in the world. The company is growing quickly and hiring across all teams. About Norm Law Norm Law is the first AI-native full-service law firm for global institutional clients like Blackstone ( see recent coverage of our Blackstone partnership here ). Legal Engineering, a discipline pioneered by Norm Ai, where lawyers develop legal AI agents, powers Norm Law to deliver faster, more precise, and more consistent legal services. With purpose-built AI agents completing first passes of work, Norm lawyers supervise, review, and focus on what matters most: strategic judgment and expert advice. Norm Law and Norm Ai, together, are building Legal AGI. This Role As a Data Analyst at Norm, you will join our growing data team to build and scale our analytics capabilities. You will develop data models, product insights, and measurement frameworks that power our AI compliance engine and inform how we evaluate, understand, and optimize our product. Working closely with our Director of Data and cross-functional partners in Product, Engineering, and Executive teams, you will translate complex compliance and legal engineering workflows into actionable insights. You will play a key role in establishing best practices, data foundations, and self-service analytics as our analytics function scales. You Will: Build and maintain data models, pipelines, and help develop ELT processes that support product and business analytics Implement comprehensive product analytics to understand how enterprise clients use our AI-driven compliance workflows Develop measurement frameworks to evaluate AI model performance in real-world legal and compliance contexts Design and deliver self-service analytics capabilities using modern tools like Hex for analysis and visualization, dbt for semantic modeling Set up and maintain reliable data pipelines using orchestration platforms like Airflow Establish and uphold data governance practices aligned with enterprise security and regulatory requirements Build dashboards and KPIs that drive strategic product and business decisions Skills & Experience- Core 5-7 years of data analytics experience, ideally with 1-2 years of data engineering exposure Strong SQL and Python skills, with hands-on experience in a modern data stack (dbt, Fivetran, Hex, Airflow) Experience working with cloud data warehouses such as Snowflake, BigQuery, or Redshift Proven ability to build analytics foundations or data models from scratch, especially in early-stage or scaling environments Experience supporting B2B SaaS products and understanding enterprise customer behavior Ability to translate complex business questions into technical data solutions Comfort working in small, fast-moving teams and wearing multiple data hats Skills & Experience- Pluses Experience working in regulated industries such as FinTech, RegTech, or compliance-heavy environments Background in data science, statistics, or applied modeling beyond standard reporting Familiarity with legal, compliance, or enterprise risk workflows Prior experience scaling analytics in a rapidly evolving startup environment What Success Looks Like- 30 Days Develop comprehensive understanding of our product and current data landscape Assist in setting up foundational data infrastructure and begin implementing core analytics tracking Document our data requirements and create a roadmap for analytics capabilities Establish relationships with key stakeholders across Product, Engineering, and Business teams What Success Looks Like- 60 Days Deploy production data pipelines and establish reliable data collection across the platform Launch initial set of product analytics dashboards for user behavior and AI model performance Begin analysis of compliance workflow patterns to identify optimization opportunities Create self-service analytics capabilities for the broader team Comp and Benefits $160,000 - $190,000 annually The range displayed in this job posting reflects the minimum and maximum target for new hire salary for this position. Within the range, individual pay is determined by various factors, including job-related skills (as uncovered during the interview process), experience, and relevant education or training. Please note that the compensation details listed here reflect the base salary only, and do not include equity or benefits. We offer a competitive salary along with equity compensation. Our comprehensive benefits package includes a 401(k) plan with an employer match. Employees enjoy top-tier insurance coverage, encompassing health, dental, hospital, accident, and vision plans. For candidates needing to relocate to NYC, we provide relocation reimbursement. You'll thrive in our fast-paced learning environment where professional growth is constant. We embrace a hybrid model, typically in-office 3-4 days per week. To learn more about Norm Ai, visit our website .

Location(s): United States of America City/Cities: Atlanta Travel Required: 00% - 25% Relocation Provided: No Job Posting End Date: January 29, 2026 Shift: Job Description Summary: Candidates are encouraged to apply to 3 or fewer internship roles during a given internship recruiting cycle We are seeking a highly motivated Data Engineering Intern to support data platform development and analytics initiatives within Commercial Product Supply (CPS) . CPS oversees manufacturing plants globally and is responsible for ensuring reliable, efficient, and compliant product supply across regions. This role offers hands-on experience working with global data systems that support plant operations, supply chain visibility, and business decision-making. Function Related Activities/Key Responsibilities: Assist in building, maintaining, and optimizing data pipelines using Azure Data Factory (ADF) and Databricks Develop, transform, and analyze datasets using PySpark, SQL, and Python Support ingestion of data from global manufacturing plants and enterprise systems Perform data validation, quality checks, and monitoring to ensure data reliability Collaborate with data engineers and business stakeholders to troubleshoot and resolve pipeline issues Participate in data modeling, performance tuning, and optimization efforts Contribute to documentation of data workflows, pipelines, and technical standards Occasionally support lightweight web development tasks for internal dashboards or tools Education Requirements: Must be currently pursuing a Bachelor's or Master's degree or have graduated from their degree program no earlier than December 2025 in Computer Science, Data Engineering, Software Engineering, or a related engineering discipline. Related Work Experience: Prior internship, academic projects, or relevant coursework in data engineering, software development, or analytics preferred Exposure to cloud platforms, particularly Microsoft Azure, is a plus Functional Skills: Proficiency in Python and SQL Working knowledge or coursework experience with PySpark and distributed data processing Familiarity with Databricks and Azure Data Factory (ADF) Understanding of ETL/ELT concepts, data modeling, and relational databases Basic web development skills (HTML, CSS, JavaScript, or similar) are a plus Soft Skills Strong analytical and problem-solving skills Eagerness to learn and adapt in a fast-paced, global environment Effective written and verbal communication skills Ability to collaborate with cross-functional and geographically distributed teams Strong attention to detail and commitment to data quality Monthly Salary (undergraduate): $4,506 Monthly Salary (graduate): $6,066 Location: Atlanta, Georgia Dates of Internship: May 18 - July 31, 2026 Skills: Our Purpose and Growth Culture: We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what’s possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors – curious, empowered, inclusive and agile – and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class. When we collect your personal information as part of a job application or offer of employment, we do so in accordance with industry standards and best practices and in compliance with applicable privacy laws.

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Remote SAP Data Manager. In this role, you will play a vital part in ensuring the accuracy and integrity of enterprise master data within a collaborative and dynamic environment. You will lead an offshore data team, working closely with various business and IT stakeholders to implement effective master data governance. Your contribution is essential for enhancing operational efficiency and informed decision-making. By establishing data standards and improving access controls, you will help maintain reliable data across the organization and support its growth and innovation. Accountabilities Maintain accuracy and integrity of the company's master data across various systems. Lead an offshore team to execute changes to the SAP Master data through tickets created and approved by the business. Liaison between business functions and the IT team for issues pertaining to master data. Coordinate, train, and guide local data personnel ensuring adherence to data requirements and policies. Analyze and recommend data access improvements to maintain data integrity while allowing access to critical data. Maintain data creation forms, data dictionary, and training documents. Develop LSMW scripts for data mass maintenance. Perform mass updates as well as smaller front-end updates that cannot be completed via the Datazen application. Develop and deploy master data governance processes and tools. Act as a Subject Matter Expert on data requests when approached with a business problem. Create data standards within the company. Reduce dependency and costs of using outside vendors. Maintain/improve the interface between SAP Hana and the Datazen application. Participate and lead Data Migration and Reconciliation projects across multiple functional areas and regions. Requirements Bachelor’s degree or foreign equivalent in Information Technology, Computer Science, Software Engineering, or a related field. 5+ years of progressive experience in the specialty field. 2+ years of experience supporting and managing the delivery of the functional aspects of SAP projects for a life-sciences company. Confirmed experience with Chainsys platforms and SAP Hana. SAP ABAP technical expertise with Functional Master and transaction data handling on various SAP modules. LSMW/Data Migration Implementation knowledge on Basis, SAP (SD, WM, FI, and CO), Salesforce, MS Dynamics CRM 365. Benefits Opportunity to work in a global team focused on innovation and results. Remote work flexibility. Collaborative and diverse working environment. Commitment to continuous learning and professional development. Inclusive culture that values various backgrounds and perspectives. Why Apply Through Jobgether? We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Pay Range: Pay Range:$34.15 - $47.93 This position provides analytical support to SEARHC’s healthcare operations in various ways including Attesting, monitoring, validating and reporting regulatory reporting requirements to maintain accreditation and funding for SEARHC. Work with a team of data analysts to collect data and create/maintain informative data outputs. Additionally, you will play an integral role in supporting accreditation and operational reporting. SEARHC is a non-profit health consortium which serves the health interests of the residents of Southeast Alaska. We see our employees as our strongest assets. It is our priority to further their development and our organization by aiding in their professional advancement. Working at SEARHC is more than a job, it’s a fulfilling career. We offer generous benefits, including retirement, paid time off, paid parental leave, health insurance, dental, and vision benefits, life insurance and long and short-term disability, and more. Key Essential Functions and Accountabilities of the J ob Support the preparation and submission of all required, regulatory and quality improvement data reports for various external and internal stakeholders such as CMS, Accrediting entities, the State of Alaska, IHS and HRSA, as well as the senior management team. Attest to the accuracy and completeness of regulatory reports. As directed, conduct analyses of clinical, quality, and service provision data to support operational and strategic needs. Assist with development, maintenance and improvement of quality & performance dashboards. As directed, support the development and implementation of new database and data warehouse tools and functions Other duties as assigned. Education, Certifications, and Licenses Required Bachelor’s degree in data analytics, health informatics, health information management, health public health, or related field. Progressively responsible professional work experience may be substituted on a year-for-year basis for college education. Experience Required At least 5 years of experience in regulatory reporting and data analysis. Strong knowledge of regulatory reporting requirements and processes. 5 years of relevant experience; experience working with Excel, SQL, Tableau, and/or R preferred. Knowledge, Skills, and Abilities Intermediate to advanced proficiency in spreadsheet design and database applications. Experience cleaning and filtering data, and identifying, analyzing, and interpreting trends or patterns in complex data sets. Apply knowledge of regulatory requirement to best serve SEARHC. Experience with data analysis using statistical methods. Knowledge of healthcare operations preferred. Excellent analytical and problem-solving skills Strong interpersonal skills. Strong written and verbal communication skills. Required Certifications : If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Please note that the selected individual for this role will be expected to work in our Raleigh, NC location from the time of joining. If you reside outside of the Raleigh region and you are unable or unwilling to relocate, then please consider other roles across our organization that might allow for remote locations. About our Team : LexisNexis Legal & Professional, serving customers in over 150 countries with 11,800 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. Our company is a leader in deploying AI and advanced technologies to improve productivity and transform the legal market. We prioritize using the best models from today's top creators for each legal use case. About the Role : The Director, Data Sciences raises data-driven decision making of a function within a business unit through team leadership. They are also client/industry-facing, and they evangelize methodologies and best practices. They lead people and teams to develop an overall strategy for the execution of projects including creating use cases, roadmaps, alignment of stakeholders, and prioritization. This person acts as coach and leader of Managers and Data Scientists, as well as other resources. Influence should extend outside the director's immediate team to other teams within the director's peers. The Director drives development and implementation across the team to the business, rooted in a deep understanding of our customers, markets, trends, and challenges. Responsibilities : Strategic Leadership : Define and execute the data science vision and roadmap aligned with business objectives and technological advancement opportunities. Team Management : Build, lead, and mentor a high-performing team of data scientists, fostering a culture of innovation, collaboration, and continuous learning. Advanced Research Direction : Direct cutting-edge research initiatives in NLP, LLMs, and other emerging AI technologies to maintain competitive advantage. Champion innovation by staying current with the latest trends and techniques in data science and allocating resources to promising new approaches. Machine Learning and AI Solutions : Lead the development and implementation of machine learning algorithms and AI solutions to solve complex business problems. Data Analysis and Modeling : Oversee advanced data analysis, modeling, and machine learning to develop predictive and prescriptive models that drive business outcomes. Data Collection and Preparation : Establish protocols for collecting, cleaning, and preprocessing large datasets, ensuring data quality and reliability. Data Visualization Strategy : Guide the creation of informative and compelling data visualizations to communicate results and insights to stakeholders effectively. Cross-functional Collaboration : Partner with executive leadership and cross-functional teams to identify strategic opportunities and address business challenges. Model Deployment and MLOps : Oversee the deployment of machine learning models into production environments, ensuring scalability and reliability. Documentation Standards : Establish comprehensive documentation standards for projects, models, and code for knowledge sharing and reproducibility. Stakeholder Management : Communicate the value and impact of data science initiatives to C-suite executives and business stakeholders. Budget and Resource Management : Manage departmental budget, resource allocation, and infrastructure needs for data science operations. Ethical AI Governance : Develop and enforce ethical guidelines and best practices for AI development and deployment. Requirements : Bachelors, Masters or Ph.D. in Data Science, Computer Science, Statistics, or a related field; MBA or additional business education is a plus. 10+ years of progressive experience in data science, machine learning, or AI, with at least 8 years in leadership positions. Demonstrated experience in managing and scaling data science teams of 15+ professionals. Proven record of delivering high-impact AI and ML solutions that have driven significant business value. Deep expertise with generative AI models and techniques (e.g., LLMs, GANs) for content generation and their practical applications. Advanced knowledge of statistical analysis, machine learning algorithms, and data manipulation techniques at enterprise scale. Experience in setting technical direction and implementing MLOps practices for model deployment and monitoring. Strong business acumen with the ability to translate complex technical concepts into business value. Excellent communication and leadership skills, with experience presenting to executive leadership. Experience working in a global or multicultural environment Record of successful collaboration with product, engineering, and business teams. Proficiency in multiple programming languages relevant to data science (Python, R, etc.) and big data technologies. Work in a way that works for you : We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive Working for you : We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity Family Benefits, including bonding and family care leaves, adoption, and surrogacy benefits Health Savings, Health Care, Dependent Care and Commuter Spending Accounts Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice About the Business : LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services. U.S. National Base Pay Range: $133,400 - $247,800. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus. We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: ● Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits ● Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan ● Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs ● Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity ● Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits ● Health Savings, Health Care, Dependent Care and Commuter Spending Accounts ● In addition to annual Paid Time Off, we offer up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy . We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights .

Job Description Hybrid: This role is categorized as hybrid/remote Role As a Senior Systems Data Scientist on the Behavior Validation team within the Autonomous Vehicle (AV) organization, you will play a pivotal role in establishing pragmatic, data-backed methodologies for measuring trust and confidence in AV behavior validation results across both simulation and real-world road testing. Your expertise in data science and engineering will enable you to design and implement frameworks that correlate simulation and road-based outcomes, simplify complex analytical methods, and support production-ready analysis pipelines that inform AV launch and release decisions. You will collaborate with cross-functional teams—including systems engineers, safety stakeholders, and AI developers—to define confidence metrics, create scalable validation strategies, and ensure that AV behavior meets rigorous safety and performance standards. About the Organization The Autonomous Vehicle (AV) organization is dedicated to advancing the development of autonomous vehicles through cutting-edge simulation technologies and robust validation processes. The Behavior Validation team focuses on enabling software launches and continuous release decisions through data-driven verification and validation strategies. Our collaborative environment fosters innovation and excellence, allowing us to push the boundaries of what is possible in AV testing. What You’ll Do Develop and operationalize data-driven methodologies for measuring trust and confidence in AV behavior validation results. Establish correlation frameworks between simulation-based and road-based validation outcomes to ensure consistency and reliability. Simplify complex statistical and analytical methods into production-ready frameworks for AV behavior analysis. Design and implement scalable analysis pipelines that support continuous release decisions and AV launch readiness. Collaborate with engineering, safety, and AI teams to define confidence metrics and validation protocols. Provide actionable insights through data visualization and reporting tools to inform decision-making for AV behavior validation. Your Skills & Abilities Advanced degree in Data Science, Computer Science, Engineering, or related fields. 5+ years of experience in data science and analytics, preferably in safety-critical or complex systems domains. Strong background in simulation-to-road correlation, statistical modeling, and confidence estimation. Proficiency in Python, SQL, and data visualization tools (e.g., Jupyter , Looker, Tableau). Ability to simplify complex analytical methods into practical frameworks for production environments. Excellent communication skills, capable of translating technical insights into clear, actionable recommendations. What Will Give You a Competitive Edge Experience in autonomous vehicle development, ADAS systems, or robotics. Familiarity with simulation environments and large-scale data analysis. Proven ability to design confidence metrics and validation strategies for safety-critical systems. Experience building dashboards and visualization tools for decision-making. Strong track record of cross-functional collaboration in high- stakes engineering environments. ​Compensation: The expected base compensation for this role is: $148,000 - $226,200. Actual base compensation within the identified range will vary based on factors relevant to the position. You also need to include general information about potential commissions, if applicable. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits: Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources . Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire . Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

About the Team The Strategic Finance team at OpenAI plays a critical role in shaping the company’s long-term trajectory. We partner closely with Product, Engineering, and Go-To-Market teams to inform high-stakes decisions through rigorous data science and economic modeling. As part of our expanding Data Science function, we’re building a best-in-class Forecasting capability to drive real-time, data-driven decision-making across user growth, revenue, compute infrastructure, and more. We are developing scalable forecasting infrastructure to help us understand and anticipate business dynamics in an increasingly complex, usage-based world. Our models are foundational to planning, pricing, operational efficiency, and growth strategy - supporting key investment decisions and unlocking OpenAI’s full potential. About the Role We’re looking for a senior Machine Learning Data Scientist to lead our forecasting initiatives. You’ll be one of the founding members of the Forecasting pillar within Strategic Finance Data Science, responsible for building and scaling robust, interpretable, and production-ready forecasting systems. Your models will power critical business decisions by predicting core metrics such as DAU/WAU, revenue, LTV, compute consumption, and profitability. This is a highly cross-functional role, requiring technical excellence, strong product intuition, and business acumen. You’ll collaborate with product managers, researchers, engineers, and finance leaders to operationalize forecasting insights, influence company-wide strategy, and build foundational forecasting capabilities at OpenAI. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Build statistical and machine learning models to solve forecasting needs across product, finance, infrastructure, and GTM domains. Own the end-to-end modeling lifecycle , including scoping, feature engineering, model development and prototyping, experimentation, deployment, monitoring, and explainability. Develop and productionize scalable, interpretable forecasts for user growth, monetization, compute load, customer lifetime value, and profitability. Contribute to self-service forecasting tools and internal platforms , enabling teams across OpenAI to access and act on real-time predictions. Research and evaluate emerging tools and techniques in the forecasting space, such as TimeGPT, large language model extensions, causal forecasting, and hybrid approaches. Drive strategic insight generation by translating technical outputs into business-aligned recommendations and decision frameworks. Collaborate closely with cross-functional teams to ensure forecasts are well-integrated into planning processes, experimentation workflows, and executive decision-making. You might thrive in this role if you have: Advanced degree (MS or PhD) in a quantitative field (e.g., Statistics, Computer Science, Economics, Operations Research). 7+ years of experience in applied data science, with deep hands-on exposure to forecasting, predictive modeling, or marketplace systems. Expertise in time-series forecasting techniques and practical understanding of model trade-offs across performance, explainability, and scalability. Proficiency in Python , SQL , and tools such as scikit-learn, PyTorch/TensorFlow, and forecasting libraries. Demonstrated experience with model monitoring, debugging, and long-term maintenance in production environments. Strong communication and storytelling skills - able to simplify complexity and influence executive stakeholders. Self-directed, intellectually curious, and comfortable leading ambiguous projects from 0→1. Bonus if you have: Experience building or scaling forecasting platforms in a high-growth company. Familiarity with causal inference, Bayesian forecasting Passion for AI and a strong point of view on how machine learning should inform strategic decisions in fast-moving environments. #LI-NM2 About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.