Senior Data Scientist

About the role

We are seeking a Senior Data Scientist to support our client teams with insights gained from analyzing data using advanced analytics techniques. The ideal candidate will have a proven track record of driving business results through data-driven insights and will be comfortable working with a diverse range of stakeholders and functional teams.

Responsibilities

• Work directly with client teams to identify opportunities for leveraging advanced analytical techniques to drive business solutions.
• Develop custom AI/ML models and algorithms to apply to data sets.
• Develop processes and tools to create and monitor data models while maintaining accuracy and other associated metrics necessary for the business objective.
• Lead the design, prototyping, and evaluation of Agentic AI workflows, including tool-using agents, retrieval-augmented generation, orchestration patterns, and human-in-the-loop controls.
• Apply and guide advanced Generative AI techniques, including prompt engineering, model evaluation, grounding, safety guardrails, and responsible AI practices, to solve complex client business problems.
• Leverage and mentor others in the use of AI assistive engineering tools such as Claude Code, GitHub Copilot, or similar platforms to improve development velocity, code quality, documentation, and experimentation.
• Provide technical leadership in rapidly learning new domains, framing ambiguous problems, and translating AI/ML opportunities into measurable client outcomes.

Requirements

• 6+ years of work experience with a bachelor’s degree in quantitative fields such as Data Science, Computer Science, Statistics, Economics, Math, Engineering, advanced degree preferred.
• Previous experience working with relational databases and developing advanced SQL queries is a must.
• Hands-on Agentic AI experience, including leading or evaluating AI agents, multi-step AI workflows, tool/function calling, retrieval-augmented generation, or workflow orchestration frameworks.
• Ability to lead projects and mentor junior data scientists, own and deliver outcome with thorough project management, planning and sound architectural decisions.
• Advanced Generative AI experience, including prompt engineering, LLM application architecture, model evaluation, responsible AI practices, and delivery of AI-enabled solutions in business settings.
• Advanced Python experience for data science, machine learning, model experimentation, automation, API integration, and production-quality analytical workflows.
• Strong AI/ML background with practical depth across supervised learning, unsupervised learning, model validation, feature engineering, statistical analysis, and business-focused experimentation.
• Demonstrated ability to learn and adapt quickly in fast-changing AI environments, with passion for AI, curiosity, and a continuous learning mindset.
• Strong problem-solving and technical leadership skills with the ability to structure ambiguous business questions, test hypotheses, and guide teams toward practical analytical recommendations.
• Experience leveraging AI assistive tools such as Claude Code, GitHub Copilot, or similar tools to accelerate coding, analytics, documentation, testing, and solution development.
• Experience working with business intelligence platforms: Tableau, Power BI, etc.
• Must be legally authorized to work in the United States without the need for employer sponsorship.

Preferred Requirements

• Based in Chicago, IL, and flexible to work from our Chicago office as needed.
• Healthcare industry experience, especially with payer, provider, clinical, claims, revenue cycle, population health, or healthcare operations data.
• AWS cloud experience, including familiarity with services such as Amazon SageMaker, Amazon Bedrock, Lambda, Glue, S3, Redshift, or related cloud-native AI/ML services.
• Snowflake experience, including data modeling, SQL optimization, secure data sharing, or analytics engineering in cloud data warehouse environments.
• Consulting background with experience working directly with clients, managing ambiguity, and delivering executive-ready recommendations.
• AWS AI or machine learning certifications, such as AWS Certified Machine Learning Engineer, AWS Certified Machine Learning Specialty, AWS Certified AI Practitioner, or related AWS credentials.

Compensation & Benefits

The estimated base salary range for this position is $125,000 - $145,000. In addition to this base salary, individuals may be eligible for an annual discretionary bonus. This range is a part of a competitive, total compensation package together with our majority employer-paid benefits and incentive pay for eligible roles. Please note that this range is a guideline, and individual total compensation may vary due to numerous factors, including but not limited to experience level, certifications, and other relevant business considerations.