[Remote] Senior Data Scientist

Note: The job is a remote job and is open to candidates in USA. AArete is a global, innovative management and technology consulting firm recognized for its exceptional culture and commitment to employee development. They are seeking a Senior Data Scientist to support client teams by analyzing data and providing insights through advanced analytics techniques, with a focus on Generative AI and Agentic AI solutions.

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

Skills

• 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
• 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

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

Company Overview