GenAI Data Scientist

Description:
On-site in either Blue Ash, OH or Chicago, IL
Our client seeks a Data Scientist to advance Gen AI and causal ML capabilities, lead end-to-end development of scalable science solutions, and partner with product and cross-functional teams to drive vision and strategy in personalization and loyalty. The role focuses on statistical science, causal inference, AI-driven experimentation, and the integration of insights that deliver customer value and loyalty.
We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.
Rate: $60.00 to $70.00/hr. w2
Responsibilities:

• Advance AI capabilities by designing, developing, and deploying Gen AI solutions including LLM fine-tuning, prompt engineering, RAG pipelines, agentic workflows, and integration of Gen AI into existing measurement and science workflows.
• Lead end-to-end development and scaling of data science solutions from research and experimentation through productionization, ensuring solutions are robust, reproducible, and maintainable.
• Partner with product managers and cross-functional stakeholders to shape the vision, roadmap, and prioritization of science products and capabilities in personalization and loyalty.
• Contribute to the vision and early development of a holistic science layer to connect and consolidate scattered science capabilities into a unified, scalable framework.
• Apply and extend causal ML and econometric methods such as CATE, DiD, matching, and panel methods to support measurement, experimentation, and personalization at scale.
• Build, maintain, and improve production ML and experimentation pipelines using sound MLOps and software engineering practices including CI/CD, version control, testing, and documentation.
• Research and evaluate emerging AI/ML technologies and methodologies, identifying opportunities to bring state-of-the-art approaches into production.
• Serve as a technical leader and subject matter expert, providing guidance and informal mentorship to peers and evolving into a formal mentor as junior talent joins the team.
• Communicate complex technical findings and methodologies clearly to both technical and non-technical audiences, including leadership and product stakeholders.

Experience Requirements:

• 3+ years of applied data science experience with progression in scope and technical complexity.
• Hands-on experience with Generative AI applications such as LLM fine-tuning, prompt engineering, RAG pipelines, or agentic workflow development.
• Familiarity with causal ML and causal inference methods including CATE, heterogeneous treatment effect modeling, DiD, and matching.
• Proficiency in Python, SQL, and Git.
• Experience with Azure and Databricks or comparable cloud-based data science platforms.
• Contributions to production-quality ML systems using software engineering best practices.
• Ability to partner with product managers and stakeholders to translate business needs into science solutions and roadmap priorities.
• Strong oral and written communication skills to translate between technical and business audiences.
• Comfort with ambiguity and ability to operate effectively in evolving problem spaces and contribute to early-stage vision and strategy.
• Preferred: Experience with MLOps practices including workflow orchestration, model monitoring, reproducibility, and deployment.
• Preferred: Experience in retail, CPG, media, or marketplace analytics.
• Preferred: Ability to informally mentor or coach peers in technical best practices.
• Preferred: Familiarity with experimentation frameworks and measurement pipelines.

Recruitment Transparency Notice

Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (, ) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process.
Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.
W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.
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About Eliassen Group:
Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients' capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve.
Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws.
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