Senior Data Scientist

Senior Data Scientist AArete life insurance, parental leave, paid holidays, short term disability, long term disability, 401(k) United States, Illinois, Chicago 200 East Randolph Street (Show on map) Jun 11, 2026 Description Senior Data Scientist AArete is one-of-a-kind when it comes to consulting firm culture. We're a global, innovative management and technology consulting firm with offices in the U.S., India, and Europe. Our name comes from the Greek word for excellence: "Arete." And excellence is exactly what we strive for. We're celebrating our fourth year as one of Forbes' World's Best Management Consulting Firms - and our success starts with our people. From robust career development planning to competitive life and wellness benefits, AArete's "Culture of Care" takes a holistic approach to the employee experience. AAretians (our team members) are leaders at every level. You are encouraged to unlock your full potential by directly contributing to our mission and prioritizing personal development and fulfillment. The Role We are looking for a Senior Data Scientist who will support our client teams with insights gained from analyzing data leveraging advance analytics techniques. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate has the capability to formulate data driven solutions in collaboration with stakeholders' business requirements. In the new age of AI, this role will lead the design, evaluation, and operationalization of advanced Generative AI and Agentic AI solutions that responsibly augment analytical workflows, accelerate client delivery, and convert complex data into practical business action. Work You'll Do 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 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 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 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 client commission opportunities and referral bonus program Bike share discount program 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. AArete will accept applications until the position is filled. The job posting will be removed once the role is no longer available. We put humans at the center of our work We're a global management and technology consulting firm specializing in strategic profitability improvement, digital transformation, and strategy & change for clients. Our cross-industry solutions are powered by a digital-first mindset, market intelligence, and data-driven approach to deliver purposeful change, actionable insights, and guaranteed results. But what sets us apart is our people. We are guided by our deeply embedded guiding principles: Excellence, Passion, Loyalty to Clients, Stewardship, Family, Community, Sustainability, and Inclusion. And we've been recognized as a top firm to work for by companies like Forbes, Top Workplaces Chicago Tribune, and Consulting Magazine. We've earned a Great Place to Work Certification and been named a World's Best Management Consulting Firm by Forbes, Vault's Top 50 Firms to Work For, Crain's Chicago Business Fast 50, Inc 5000's Fastest Growing Firms, and Consulting Magazine's Fastest Growing Firms. Learn more about our award-winning culture We are an Equal Employment Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. #LI-DNI