Data Scientist (AI / Causal Inference)
anvetaChicago (IL)
Data Scientist (AI / Causal Inference)
Posted 6 days ago
anvetaChicago (IL)
SENIORITY
Senior
SALARY
$75/hr
About the role
Data Scientist (AI / Causal Inference) – Contract-to-Hire
Compensation: $75/hr on C2CDuration: 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.
Must-Have:
- (Non-Negotiable) SkillsStrong 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.
Technical Requirements 3+ years of hands-on data science experience
Strong proficiency in Python, SQL, and GitExperience 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: CATEDifference-in-differences (DiD)
Matching
Heterogeneous treatment effect modeling
Experience building and deploying production-ready ML solutions using software engineering best practices.
Preferred Qualifications:
- 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
Key Responsibilities:
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.
Interview Process: Hiring manager onsite
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