Data Scientist (AI ​/ Causal Inference

Data Scientist (AI / Causal Inference) – Contract-to-Hire

Compensation: $75/hr on C2C

Duration: 12-Month Contract-to-Hire

Location:

Cincinnati, OH – 5 Days/Week Onsite

Chicago, IL candidates may be considered if highly qualified, but must be willing to travel to Cincinnati as needed.

• Strong experience with causal inference
• Experience with econometrics
• Expertise in measurement frameworks/processes
• Ability to quantify treatment impact and connect analytical outcomes to business performance (e.g., measuring changes in customer purchasing behavior based on different treatments)
• AI experience is preferred; however, candidates with limited AI exposure are welcome if they have a strong willingness to learn and grow.

• 3+ years of hands-on data science experience
• Strong proficiency in Python, SQL, and Git
• Experience with Azure, Databricks, or similar cloud platforms
• Knowledge of generative AI, including one or more of:
  • LLM fine-tuning
  • Prompt engineering
  • Retrieval-augmented generation (RAG)
  • Agentic AI workflows
• Experience with causal machine learning techniques such as:
  • CATE
  • Difference-in-differences (DiD)
  • Matching
  • Heterogeneous treatment effect modeling
• Experience building and deploying production-ready ML solutions using software engineering best practices.

• MLOps experience (CI/CD, model deployment, monitoring, workflow orchestration)
• Experience in retail, CPG, media, or marketplace analytics
• Familiarity with experimentation frameworks and measurement pipelines
• Ability to mentor and guide fellow data scientists

• Design and deploy generative AI solutions using LLMs, RAG, prompt engineering, and agentic workflows.
• Apply causal inference and econometric techniques to measure business impact and improve personalization.
• Build scalable machine learning and experimentation pipelines.
• Partner with product managers and business stakeholders to translate business problems into AI-driven solutions.
• Research and implement emerging AI/ML technologies.
• Communicate technical findings effectively to both technical and business audiences.