Senior Data Scientist

AArete • Chicago, IL

2d • $125,000 - $145,000 • Hybrid

About The Position

AArete is seeking a Senior Data Scientist to support client teams by providing insights derived from advanced analytics techniques. The ideal candidate will have a proven ability to drive business results through data-driven insights and be comfortable collaborating with diverse stakeholders and functional teams. This role involves formulating data-driven solutions aligned with business requirements and, in the context of AI, will lead the design, evaluation, and operationalization of advanced Generative AI and Agentic AI solutions to enhance analytical workflows, expedite client delivery, and translate complex data into actionable business strategies.

Requirements

• 6+ years of work experience with a bachelor’s degree in quantitative field 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

Nice To Haves

• 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

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
• Other duties as assigned

Benefits

• Flexible PTO
• monthly half-day refuels
• volunteer time off
• 10 paid holidays
• Own Your Day flexible work policy
• Competitive majority employer-paid benefits: Medical, Dental, Vision, 401K Match
• Generous paid parental leave options
• Employer-paid Life Insurance, Short Term Disability, Long Term Disability
• Charitable contribution matching program
• New client commission opportunities and referral bonus program
• Bike share discount program

What This Job Offers

• Job Type: Full-time
• Career Level: Senior