Data Science Analyst

AArete•Chicago, IL

1d•$75,000 - $90,000•Onsite

About The Position

AArete is a global, innovative management and technology consulting firm with offices in the U.S., India, and Europe. We are seeking a Data Science Analyst to support client teams by providing insights derived from advanced analytical techniques. The ideal candidate will have a proven ability to drive business results through data-driven insights and be comfortable working with diverse stakeholders. This role will also contribute to the design, evaluation, and responsible use of advanced 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