• Conduct detailed exploratory data analysis (EDA) on structured and unstructured text datasets to derive insights and inform model development. • Design, build, and evaluate models for a variety of NLP tasks, including: • Text classification • Named entity recognition (NER) • Information extraction from unstructured documents • Develop and refine regular expressions, traditional NLP pipelines, and transformer-based models to support business use cases. • Write high-quality, production-grade Python code, following best practices for scalability, testing, and maintainability. • Apply Generative AI techniques and prompt engineering to enhance automation and downstream applications. • Collaborate closely with machine learning engineering teams to deploy, monitor, and optimize NLP solutions in production. • Utilize cloud technologies such as Azure or AWS to build, train, and manage ML workloads.

Become a part of our caring community and help us put health first The Enterprise AI organization at Humana is a pioneering force, driving AI innovation across our Insurance and CenterWell business segments. By collaborating with world-leading experts, we are at the forefront of delivering cutting-edge AI technologies for improving care quality and experience of millions of consumers. We are actively seeking top talent to develop robust and reusable AI modules and pipelines, ensuring adherence to best practices in accountable AI for effective risk management and measurement. Join us in shaping the future of healthcare through AI excellence. We are building advanced agentic systems capable of autonomously managing and decomposing complex goals. We are seeking an expert in agent design, planning, and control to develop and evaluate agents that can set, adapt, and execute goals in dynamic, real-world environments. You’ll contribute to the scientific and engineering foundations that make AI agents reliable, interpretable, and robust across long-horizon tasks. Key Responsibilities - Architect goal setting and goal decomposition mechanisms for autonomous agents operating in uncertain or open-ended environments - Design and implement dynamic planning systems (e.g., hierarchical planning, curriculum learning, scratchpad/self-refinement loops) - Collaborate on memory, tool-use, and feedback-loop designs enabling multi-step, self-directed agent behavior - Develop evaluation frameworks for alignment with human intent, consistency, progress against long-horizon objectives - Prototype agents that interface with APIs, MCP servers, search engines, databases, or real-world actuators to pursue goals safely and efficiency - Explore mechanisms to detect and mitigate goal misalignment, looping behavior, or undesirable emergent strategies - Work across teams to integrate goal alignment with safety, alignment, and operational reliability mechanisms Technical skills - Proficiency in SQL, Python, and data analysis/data mining tools. - Experience with machine learning frameworks like Pytorch, Jax, LangChain, LangGraph or AutoGen - Experience with high performance, large-scale ML systems - Experience with language modeling with transformers - Experience with symbolic planning, causal reasoning, and model-based RL - Experience with large-scale ETL Use your skills to make an impact Required Qualifications - Master's Degree and 4+ years of experience in research/ML engineering or an applied research scientist position preferably with a focus on developing production-ready AI solutions - 2+ years of experience leading development of AI/ML systems Preferred Qualifications - Ph.D. in Computer Science, Data Science, Machine Learning, or a related field - Demonstrated experience shipping autonomous, or semi-autonomous agents in production or simulation - Experience with LLM-based agents with scratchpad/self-reflection or hierarchical task decomposition - Understanding of autonomy risk mitigation strategies, including off-switch protocols, or bounded rationality Additional Information Location/Work Style: Remote US Why Humana? At Humana, we know your well-being is important to you, and it’s important to us too. That’s why we’re committed to making resources available to you that will enable you to become happier, healthier, and more productive in all areas of your life. Just to name a few: - Work-Life Balance - Generous PTO package - Health benefits effective day 1 - Annual Incentive Plan - 401K - Excellent company match - Well-being program - Paid Volunteer Time Off If you share our passion for helping people, we likely have the right place for you at Humana. Work at Home Guidance To ensure Home or Hybrid Home/Office associates’ ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office associates must meet the following criteria: - At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is recommended; wireless, wired cable or DSL connection is suggested - Satellite, cellular and microwave connection can be used only if approved by leadership - Associates who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense. - Humana will provide Home or Hybrid Home/Office associates with telephone equipment appropriate to meet the business requirements for their position/job. - Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information SSN Alert Statement Humana values personal identity protection. Please be aware that applicants may be asked to provide their Social Security Number, if it is not already on file. When required, an email will be sent from Humana@myworkday.com with instructions on how to add the information into your official application on Humana’s secure website. Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required. Scheduled Weekly Hours 40 Pay Range The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc. $142,300 - $195,700 per year This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance. Description of Benefits Humana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities. Application Deadline: 03-31-2026 About us Humana Inc. (NYSE: HUM) is committed to putting health first – for our teammates, our customers and our company. Through our Humana insurance services and CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health – delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare, Medicaid, families, individuals, military service personnel, and communities at large. ​ Equal Opportunity Employer It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.

ARE YOU A CURRENT US FOODS EMPLOYEE? PLEASE APPLY DIRECTLY THROUGH OUR INTERNAL WORKDAY CAREER SITE Join Our Community of Food People! The Lead Data Scientist – Commercial will lead a team of data scientists responsible for designing, developing, and deploying advanced analytics and AI solutions that drive commercial growth, seller efficiency improvements and customer engagement. This includes seller effectiveness solutions, eCommerce AI capabilities such as personalization and product recommendations, and advanced marketing and merchandising analytics. This leader owns the Commercial Advanced Analytics portfolio, with accountability for analysis, development, and implementation of AI / ML solutions and delivery of measurable business outcomes across Sales, Marketing, and Digital channels. Responsibilities span the full lifecycle of initiatives, from problem framing and solution design through production deployment and adoption. This position is remote which means the work can be completed from anywhere except Hawaii or United States Territories. ESSENTIAL DUTIES AND RESPONSIBILITIES Delivery and Impact - Partner with senior Sales, Merchandising, Marketing, and Digital stakeholders to identify, prioritize, and frame high-impact business problems suited for advanced analytics and AI. - Oversee delivery of solutions including eCommerce personalization and recommendation systems, seller effectiveness and productivity tools, and advanced marketing and merchandising analytics. - Ensure solutions are production-ready, scalable, and embedded into commercial workflows to drive sustained and measurable revenue, margin, and customer experience impact. Analytical Leadership - Lead, develop, and retain high-performing teams of data scientists, with a strong focus on innovation, execution, and talent development. - Shape and deliver the commercial analytics and AI roadmap aligned to growth priorities, customer strategy, and measurable business outcomes. - Influence decision-making by leading statistical experimentation and driving adoption of data-driven decision making across Sales, Merchandising, Marketing, and Digital leadership teams. Technical Excellence - Provide technical and analytical leadership across applied AI, optimization, and statistical modeling. - Set standards for analytical rigor, model performance, reliability, and commercial business impact. - Collaborate with ML Engineering, Digital, and Platform teams to ensure robust code development, scalable deployment, and stable production operations across the full model lifecycle. SUPERVISION: - Team of five data scientists. RELATIONSHIPS - Internal: Analytics and Data Science teams; Executive Leadership Team; Sales, Marketing, Merchandising, Digital, and Technology leaders. - External: Vendors including cloud infrastructure providers, analytics and AI solution partners, and other strategic partners. WORK ENVIRONMENT (Select one) - Remote: This role is fully remote, and the associate is expected to perform assigned responsibilities from a home-based environment. MINIMUM QUALIFICATIONS - Six years of experience or greater in advanced analytics, data science, or applied machine learning, with progressive leadership responsibility. - Experience deploying applied AI solutions on cloud platforms (e.g., AWS SageMaker and Bedrock), including LLM-based and agentic architectures, with production-grade hosting, monitoring, governance, and end-to-end MLOps. - Experience guiding teams in Python-based data science ecosystems and collaborative development practices, including code quality, testing, and reproducibility. Comfort with modern agentic coding tools (e.g., Claude Code, GitHub Copilot). - Strong command of machine learning, optimization methods, and statistical experimentation at scale, particularly in commercial, customer, or growth-oriented use cases. - Business-oriented analytical thinker with a high bar for rigor, execution, and reliability. - Clear, concise communicator able to influence senior leaders with data-driven insights. EDUCATION - Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related quantitative field required. - PhD in a quantitative field a plus. TRAVEL REQUIREMENT - 10% CERTIFICATIONS/TRAINING - N/A LICENSES - N/A PREFERRED QUALIFICATIONS - Experience leading applied data science or AI teams in commercial, sales, marketing, or eCommerce environments (especially B2B). - Strong consultative, business-facing background with demonstrated success driving adoption of analytics products. - Able to communicate clearly and influence stakeholders through storytelling and public speaking. - Experience in complex, SKU-heavy or distribution-style businesses. This role will also receive annual incentive plan bonus up to 25% of base salary.​ ​Benefits for this role may include health insurance, pre-tax spending accounts, retirement benefits, paid time off, short-term and long-term disability, employee stock purchase plan, and life insurance. To review available benefits, please click here: https://www.usfoods.com/careers/benefits.html. Compensation depends on relevant experience and/or education, specific skills, function, geographic location, and other factors as applicable by law (for example: state minimum wage thresholds). The expected base rate for this role is between $100,000 - $160,000 ***EOE – Race/Color/Religion/Sex/Sexual Orientation/Gender Identity/National Origin/Age/Genetic Information/Protected Veteran/Disability Status***

• Define and lead Sedgwick’s enterprise data science strategy aligned to claims optimization, risk management, fraud detection, and client performance analytics. • Build and scale a high-performing team of data scientists, quantitative analysts, and ML practitioners supporting global operations. • Drive development of predictive and prescriptive models for claims severity, reserving, subrogation, litigation risk, recovery optimization, and fraud detection. • Oversee statistical modeling, machine learning, and advanced analytics initiatives from ideation through production deployment. • Partner with AI Engineering to transition research models into scalable, production-grade systems. • Establish modeling standards, validation protocols, and reproducibility requirements across the organization. • Lead experimentation frameworks including A/B testing, causal inference analysis, and performance measurement methodologies. • Ensure model explainability, transparency, and fairness for analytics that influence claim decisions or financial outcomes. • Collaborate with Claims Operations, Finance, Actuarial, and IT teams to identify high-value analytical opportunities. • Guide development of feature engineering strategies using structured and unstructured claims data. • Oversee creation of enterprise data assets, analytical datasets, and model-ready pipelines in partnership with data engineering. • Implement governance processes for model validation, drift monitoring, recalibration, and lifecycle management. • Provide thought leadership in advanced analytics including time-series forecasting, anomaly detection, NLP, and risk scoring. • Translate complex analytical findings into actionable business insights for senior leadership. • Develop KPI frameworks to measure operational improvements driven by analytics initiatives. • Ensure compliance with regulatory requirements and internal data governance standards. • Evaluate external data sources and analytics partnerships that enhance predictive capabilities. • Manage budgets, vendor relationships, and analytical tooling investments. • Present data-driven insights and modeling outcomes to executive leadership and client stakeholders. • Foster a culture of analytical rigor, innovation, and continuous improvement.