[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.ResponsibilitiesWork directly with client teams to identify opportunities for leveraging advanced analytical techniques to drive business solutionsDevelop custom AI/ML models and algorithms to apply to data setsDevelop processes and tools to create and monitor data models while maintaining accuracy and other associated metrics necessary for the business objectiveLead the design, prototyping, and evaluation of Agentic AI workflows, including tool-using agents, retrieval-augmented generation, orchestration patterns, and human-in-the-loop controlsApply and guide advanced Generative AI techniques, including prompt engineering, model evaluation, grounding, safety guardrails, and responsible AI practices, to solve complex client business problemsLeverage 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 experimentationProvide technical leadership in rapidly learning new domains, framing ambiguous problems, and translating AI/ML opportunities into measurable client outcomesOther duties as assignedSkills6+ years of work experience with a bachelor's degree in quantitative field such as Data Science, Computer Science, Statistics, Economics, Math, Engineering, advanced degree preferredPrevious experience working with relational databases and developing advanced SQL queries is a mustHands-on Agentic AI experience, including leading or evaluating AI agents, multi-step AI workflows, tool/function calling, retrieval-augmented generation, or workflow orchestration frameworksAbility to lead projects and mentor junior data scientists, own and deliver outcome with thorough project management, planning and sound architectural decisionsAdvanced Generative AI experience, including prompt engineering, LLM application architecture, model evaluation, responsible AI practices, and delivery of AI-enabled solutions in business settingsAdvanced Python experience for data science, machine learning, model experimentation, automation, API integration, and production-quality analytical workflowsStrong AI/ML background with practical depth across supervised learning, unsupervised learning, model validation, feature engineering, statistical analysis, and business-focused experimentationDemonstrated ability to learn and adapt quickly in fast-changing AI environments, with passion for AI, curiosity, and a continuous learning mindsetStrong problem-solving and technical leadership skills with the ability to structure ambiguous business questions, test hypotheses, and guide teams toward practical analytical recommendationsExperience leveraging AI assistive tools such as Claude Code, GitHub Copilot, or similar tools to accelerate coding, analytics, documentation, testing, and solution developmentExperience working with business intelligence platforms: Tableau, Power BI, etcMust be legally authorized to work in the United States without the need for employer sponsorshipBased in Chicago, IL, and flexible to work from our Chicago office as neededHealthcare industry experience, especially with payer, provider, clinical, claims, revenue cycle, population health, or healthcare operations dataAWS cloud experience, including familiarity with services such as Amazon SageMaker, Amazon Bedrock, Lambda, Glue, S3, Redshift, or related cloud-native AI/ML servicesSnowflake experience, including data modeling, SQL optimization, secure data sharing, or analytics engineering in cloud data warehouse environmentsConsulting background with experience working directly with clients, managing ambiguity, and delivering executive-ready recommendationsAWS AI or machine learning certifications, such as AWS Certified Machine Learning Engineer, AWS Certified Machine Learning Specialty, AWS Certified AI Practitioner, or related AWS credentialsBenefitsFlexible PTO, monthly half-day refuels, volunteer time off, 10 paid holidaysOwn Your Day flexible work policyCompetitive majority employer-paid benefits: Medical, Dental, Vision, 401K MatchGenerous paid parental leave optionsEmployer-paid Life Insurance, Short Term Disability, Long Term DisabilityCharitable contribution matching programNew client commission opportunities and referral bonus programBike share discount programCompany OverviewAArete is a management consulting company specializing in operational performance improvement and strategic cost reduction services. It was founded in 2008, and is headquartered in Chicago, Illinois, USA, with a workforce of 201-500 employees. Its website is http://aarete.com.