Data Scientist
$114,400–$124,800 year
On-siteCincinnati, Ohio, United States
Job Summary
Design and implement causal inference and causal machine learning solutions to measure the impact of business treatments on customer behavior, revenue, retention, and engagement. Apply statistical methods including Difference-in-Differences, Matching, Panel Data Models, CATE Estimation, and Uplift Modeling to define treatments, control groups, counterfactuals, and evaluation windows. Build scalable, production-ready ML pipelines using MLOps best practices and develop Generative AI solutions involving RAG, prompt engineering, LLM workflows, and fine-tuning. Partner with business and product teams to convert problems into scientific solutions, present technical findings to stakeholders, and provide code reviews. Requires 3+ years of applied Data Science experience and strong Python/SQL skills.
Required Qualifications
- 3+ years of applied Data Science experience
- Strong experience with causal inference, causal ML, econometrics, or experimentation
- Experience measuring treatment effects and incremental business impact
- Difference-in-Differences
- Matching
- CATE
- Panel Data Analysis
- Uplift Modeling
- Heterogeneous Treatment Effects
- Strong Python and SQL programming skills
- Experience with Git
- Experience developing production-quality ML or analytics solutions
- Strong analytical, communication, and problem-solving skills
- Bachelor's or Master's degree in Statistics, Economics, Data Science, Computer Science, Applied Mathematics, or related quantitative field
Desired Qualifications
- Experience with Generative AI, RAG, Prompt Engineering, Fine-tuning, LLM Evaluation, or Agentic AI
- Experience with Azure, Databricks, or similar cloud platforms
- Experience with MLOps, deployment, orchestration, monitoring, and model lifecycle management
- Experience building experimentation platforms or measurement pipelines
- Retail, CPG, media, personalization, loyalty, or customer analytics experience
- Experience mentoring technical teams
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