Data Science Analyst

AArete • Chicago, IL

7d • Hybrid

About The Position

AArete is a global, innovative management and technology consulting firm seeking a Data Science Analyst. This role supports client teams by providing insights derived from advanced analytics techniques, driving business results through data-based insights. The analyst will collaborate with various stakeholders and functional teams, formulating data-driven solutions aligned with business requirements. In the evolving landscape of AI, this position will contribute to the design, evaluation, and responsible implementation of Generative AI and Agentic AI-enabled analytical workflows to accelerate client delivery and translate complex data into actionable business strategies.

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

Nice To Haves

• 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

Responsibilities

• 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

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: Entry Level