Role Description GITI is looking for a Machine Learning (ML) Engineer with documented expertise to be responsible for researching, developing, architecting, and integrating ML models, algorithms, tools, and techniques into existing or new environments. The selected candidate will play a critical role in bridging research and operations, integrating advanced algorithms developed by academic partners into operational workflows using NGA data and environments. - Integrate and operationalize machine learning and computer vision models developed by research partners. - Apply delivered algorithms to NGA-provided datasets and generate results aligned with program requirements. - Evaluate model performance using metrics such as accuracy, precision, recall, ROC/AUC, and localization quality. - Adapt and optimize models for real-world conditions (compression, noise, format variability). - Work with containerized solutions (Docker or similar) to support deployment and reproducibility. - Translate research concepts, theory, and technical reports into practical implementations and workflows. - Generate technical reports, visualizations, and summaries suitable for NGA stakeholders. - Collaborate with internal teams and external partners to support integration and testing. - Participate in technical meetings and reviews within secure environments (SCIF). Qualifications - Bachelor's (or equivalent) with 5 - 7 years of experience, or a Master's and 3 to 5 years of experience. - 3+ years of experience in machine learning / computer vision / data science. - Strong proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow). - Experience working with image and/or video data. - Ability to understand and implement research-level algorithms from technical papers and reports. - Experience with model evaluation, validation, and performance analysis. - Familiarity with Linux-based environments and version control systems (e.g., Git). Requirements - Experience with image forensics, deepfake detection, or GEOINT-related analytics. - Experience working with DoD / IC programs or classified environments. - Familiarity with containerization (Docker) and deployment pipelines. - Experience handling large-scale or multi-format datasets (JPG, WEBP, MP4, AVI). - Knowledge of adversarial robustness, synthetic data generation, or explainable AI. - Ability to bridge theory and implementation. - Strong problem-solving and analytical skills. - Effective communication with both technical and non-technical stakeholders. - Comfortable working in structured, mission-driven environments. Relevant Certifications - Certifications in machine learning, data science, or related fields (e.g., TensorFlow Developer Certificate, AWS Certified Machine Learning Specialty, IBM Machine Learning Professional Certificate, Google Professional Machine Learning Engineer Certification, IABAC: Certified Machine Learning Expert Certification, etc.).

• Leading the architecture, design, strategy, development and implementation of agentic AI systems capable of goal-driven decision-making, planning, and action under real-world constraints • Translate product and customer requirements into production grade AI system designs • Drive rapid iteration of deployment while maintaining system reliability and safety • Participating in peer-reviews of solution designs and related code • Working with teammates to dive efβiciencies to development procedures • Analyzing and resolving technical problems • Deβining standards for the platform to deliver AI solutions • Balance learning-based approaches with deterministic or rules-based components where appropriate • Support customer-facing and sales technical discussions when AI and platform expertise is required

Title: Sr. Data Scientist - People Analytics - Remote Requisition number: 2356888 Job category: Business & Data Analytics Primary location: Eden Prairie, MN Overtime status: Exempt Travel: No Job Description: Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. The People Analytics team at Optum provides insights and perspective on our employees and workforce trends that allow us to fulfill our mission to help people live healthier lives and to help make the health system work better for everyone. In this role, you will be an integral part of the People Analytics team directly supporting Labor Relations and report to the Director of People Analytics. You will develop and implement tools to drive improved decision making and business performance by providing executive insights and key trends to Labor Relations and People Business Partners as well as other leaders across the enterprise. You will collaborate with the team to translate business objectives and challenges into analytics projects, prioritize competing priorities, share best practices, and deliver analytics and reporting of key business trends to human capital business partners. You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. Primary Responsibilities: - Consult with senior leaders on the People Team and Labor Relations Team to understand key priorities and utilize data to help them make better decisions - Utilize internal and external data to identify opportunities to identify risks, improve employee experience and performance - Simplify complex data into actionable insights - Discover and communicate meaningful patterns in data and provide context, insights, and analytics - Business Intelligence & Domo/PBI Dashboard Development - Proactive engagement with Labor Relations and People Business Partners to track and improve employee-related metrics to measure the return on HC investments - Compile presentations to effectively synthesize and communicate results and implications of data findings and trends - Establish standardized KPIs and governance framework for Labor Relations - Develop predictive models to proactively address engagement concerns - Drive digital transformation initiatives within the Labor Relations Team Priorities will include: - Assist with the build of a predictive health engine - Model and measure the effectiveness of interventions with post-intervention trend analysis - Construct site health index - Executive reporting and visualization You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: - 5+ years of experience analyzing business, financial, People Team or clinical data to provide insights - 4+ years of experience performing exploratory data analysis, data profiling, and feature engineering on large structured and unstructured datasets - 4+ years of experience with relational databases, data structures and data languages such as SQL - 4+ years of experience with programming/statistical languages such as Python, R, Scala, and others - 2+ years of experience in dashboard development (Tableau, Domo, Power BI) - Advanced knowledge of statistics, machine learning, programming, data modeling and advanced mathematics - Experience influencing and communicating both verbally/written with technical and non-technical high-level leaders - Demonstrated ability to turn raw data sets into themes and action plans Preferred Qualifications - Experience in leveraging Generative AI technologies to design and develop solutions - Experience deploying ML pipelines and models (logging, monitoring, alerts), cloud experience is a plus - Familiarity with human capital metrics / measures - Consulting / client facing / client management experience - Understanding of UnitedHealth Group businesses - Healthcare industry knowledge - High emotional intelligence and a growth mindset - All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.

Role Description As a core member of a cross‑functional pod team—including Product Management and Strategic Marketing—you will help define and execute the strategic vision for Kerry’s Small Molecules pharma portfolio. The pod team operates with shared accountability, ensuring alignment and balanced decision‑making as you collectively shape the innovation pipeline and drive strategic execution. Reporting to the RD&A Director, you will synthesize global market, customer, and competitive insights across the small‑molecule pharmaceutical landscape to inform long‑term innovation strategy. You will collaborate closely with pod team members and global stakeholders to develop and execute a roadmap that maximizes value creation for Kerry. This role requires strong communication and cross‑functional collaboration, with regular engagement across: - Product Management - Business Development - Sales - Marketing - Regulatory - Operations - Quality You will guide the product lifecycle, support customer engagements, shape innovation pipelines, and define the technical direction for your area of expertise. Key Responsibilities - Serve as the subject matter expert for the Small Molecules vertical, providing deep expertise in drug‑product formulation, excipients, process aids, and performance‑enabling technologies. - Develop and execute the long‑term product and innovation roadmap for small‑molecule technologies and excipient platforms. - Assess market trends, unmet needs, and competitive dynamics to identify innovation and growth opportunities across oral solid dose, parenteral small molecules, and emerging delivery platforms. - Prioritize innovation and renovation projects in partnership with RD&A, Marketing, and Product Management. - Contribute to business cases and champion new product development initiatives across small‑molecule excipients and process materials. - Translate complex scientific and formulation concepts into clear value propositions and differentiators for customers. - Collaborate with Marketing to develop technical content, including application notes, white papers, and scientific conference materials. - Support strategic business analysis, including market assessments, pipeline modeling, and identification of M&A or partnership opportunities aligned with the Small Molecules strategy. Qualifications - Master’s or PhD in Pharmaceutical Sciences, Chemistry, Chemical Engineering, or a related field. - 8+ years of experience in small‑molecule drug product development, formulation science, excipient technologies, process development, or related areas. - Strong understanding of small‑molecule manufacturing processes (e.g., granulation, compression, coating, sterile injectables). - Proven ability to connect scientific, operational, and commercial perspectives. - Excellent communication, project management, and problem‑solving skills. - Experience in customer‑facing technical roles, such as formulation support, tech transfer, or process optimization. - Familiarity with pharmacopeial standards (USP/EP), GMP environments, and regulatory frameworks. Preferred Qualifications - Background in excipients, binders, disintegrants, solubility enhancers, stabilizers, or process materials for small‑molecule drug products. - Up to 15% global travel. Compensation and Benefits - The pay range for this position is $88,100 - $163,700 in Annual Salary. - Kerry typically does not hire an individual at the top or near the top of the range, as we are a pay-for-performance company. - Compensation decisions are dependent on the facts and circumstances of each case. - Kerry offers a competitive benefits package, including: - Medical, dental, vision - Paid time off - 401(k) plan with employee and company contribution opportunities - Employee Share Plan - Life, disability, and accident insurance - Tuition reimbursement Equal Opportunity Employer Kerry is an equal opportunity employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age disability, protected veteran status or other characteristics protected by law.