Description

Data Science Analyst

The Role

We are looking for a Data Science Analyst 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 contribute to the design, evaluation, and responsible use of advanced Generative AI and Agentic AI-enabled analytical workflows that 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
• Mine and analyze data to drive optimization and improvement of business strategies
• 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
• Support the design, prototyping, and evaluation of Agentic AI workflows, including retrieval-augmented generation, tool-assisted workflows, and human-in-the-loop controls
• Apply advanced Generative AI techniques, including prompt engineering, model evaluation, grounding, safety guardrails, and responsible AI practices, under guidance from senior team members
• Leverage AI assistive engineering tools such as Claude Code, GitHub Copilot, or similar platforms to improve development velocity, code quality, documentation, and experimentation
• Demonstrate curiosity, adaptability, and a continuous learning mindset when exploring new AI/ML tools, techniques, client domains, and business problems
• Other duties as assigned

Requirements

• 0-3 years of work experience with a bachelor's degree in quantitative field such as Computer Science, Statistics, Economics, Math, Engineering
• Previous experience working with relational databases and developing advanced SQL queries is a must
• Exposure to Agentic AI concepts or hands-on experience with AI agents, multi-step AI workflows, tool/function calling, retrieval-augmented generation, or workflow orchestration frameworks
• Generative AI experience, including prompt engineering, LLM-enabled analysis, model evaluation basics, responsible AI practices, and practical implementation of AI-enabled analytical solutions
• Python experience for data analysis, machine learning, automation, statistical analysis, notebook-based experimentation, and repeatable analytical workflows
• Foundational AI/ML background with exposure to supervised learning, unsupervised learning, model validation, feature engineering, and statistical analysis
• 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 skills with the ability to break down ambiguous questions, explore data, test hypotheses, and communicate practical findings to technical or non-technical stakeholders including executives
• 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
• Applicants must be based in Chicago, IL, and flexible to work from our Chicago office as needed
• Must be legally authorized to work in the United States without the need for employer sponsorship

Preferred Requirements

• 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
• Strong educational pedigree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, or another quantitative discipline
• 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
• New client commission opportunities and referral bonus program
• Bike share discount program

The estimated base salary range for this position is $75,000-$90,000. 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.