Description WHAT YOU WILL DO The Data Science Manager is an experienced individual contributor who independently builds, validates and deploys machine learning, AI and statistical models that support business needs across the enterprise. Working under general direction, the role owns assigned AI solutions from problem framing and data preparation through model development, evaluation and production, applying LLM-based and agentic AI techniques alongside traditional machine learning. The role partners with business, product, technology, AI governance, security and compliance teams to deliver well-governed solutions with measurable results.
HOW YOU WILL MAKE AN IMPACT - Design, develop and deploy machine learning, AI and statistical models for assigned business problems; define success metrics with business partners and measure impact through testing and analysis.
- Build and evaluate LLM-based and agentic AI solutions, including retrieval-augmented generation and AI agents, applying established evaluation, guardrail and quality standards.
- Deploy models into production and maintain their performance, including training and inference pipelines, versioning, and monitoring for drift and accuracy.
- Partner with business, product and technology teams, AI architecture and governance, security and compliance to scope use cases, access data, document solutions for the AI catalogue, and meet responsible-AI and regulatory requirements.
- Contribute to team modeling standards and reusable patterns, conduct peer code and model reviews, and provide technical guidance as needed.
Qualifications WHAT YOU WILL BRING TO THE ROLE - 5-7 years of hands-on experience building machine learning, AI and statistical models and deploying them to production including building LLM-based or agentic AI solutions; equivalent project experience may be considered.
- Experience independently managing projects or workstreams of moderate scope and complexity.
- Automotive or financial services industry experience preferred.
- Bachelor's degree in Data Science or AI, Computer Science, Statistics, Mathematics, Engineering or a related quantitative discipline; equivalent related work experience may be considered.
- Master's degree in a quantitative field preferred.
- Thorough working knowledge of applied machine learning, AI and statistics, including model design, evaluation and validation.
- Working experience with LLMs, agent development, retrieval-augmented generation, tool calling, and AI evaluation and guardrails.
- Proficiency in Python, PySpark and SQL, and common machine learning and LLM application frameworks.
- Experience building and deploying models on AWS (SageMaker, Bedrock) or a similar cloud platform, with working knowledge of MLOps/LLMOps/AgentOps practices such as model registry and monitoring.
- Ability to translate business problems into well-scoped data science solutions and explain model results and limitations to non-technical stakeholders.
- Understanding of responsible AI and model governance practices in a regulated environment.
- Strong analytical, communication and collaboration skills, with the ability to manage multiple projects and changing priorities.
WE TAKE CARE OF OUR PEOPLE At HCA, our people drive our success. That's why we offer a competitive rewards package that supports your health, financial future, and overall wellbeing-at work and beyond.
Benefits Highlights- Hybrid Flexibility - 4 days onsite, 1 day remote
- Vehicle perks - monthly vehicle allowance plus purchase and lease discounts
- Comprehensive health coverage - medical, dental, and vision plans
- Employer-funded HSA contributions to help reduce healthcare costs
- 401(k) with company match and immediate vesting from day one
- 100% company-paid life and disability insurance
- Wellbeing benefits including fitness and health resources
- Leadership programs and career development that support continuous learning
- Paid Volunteer Time Off and a company charitable donation in your honor
Because great benefits help you thrive-personally and professionally. WHAT HAPPENS NEXT Express your interest by submitting an application. Once your application is received, our recruiting team will review your application to see if you meet the basic and preferred qualifications listed on the job description. For more information on our culture, visit our careers page.
