Data Scientist [Cincinnati (Chicago)]

Job Title: Data Scientist (AI / Causal Inference) Duration: 12-Month Contract-to-Hire Location: Cincinnati, OH (100% Onsite, 5 Days/Week) Exceptional candidates based in Chicago, IL may be considered but must be willing to travel to Cincinnati as needed. Required Pay Scale: $80–85/hr on C2C Due to client requirements this role is only open to USC or GC or GC EAD candidates Job Summary:We are seeking a highly skilled Data Scientist with expertise in Causal Inference, Econometrics, and Machine Learning to develop scalable AI-driven solutions that enhance customer personalization and loyalty. The ideal candidate will have experience building production-ready ML models, applying statistical methodologies to solve business problems, and leveraging Generative AI technologies such as LLMs, RAG, and Prompt Engineering. This is a senior individual contributor role offering the opportunity to influence AI strategy and deliver measurable business impact. Project Details: • Design and deploy Generative AI solutions using LLMs, Prompt Engineering, RAG, and Agentic AI workflows. • Apply Causal Inference and Econometric techniques to measure business outcomes and customer behavior. • Develop scalable ML models and experimentation pipelines. • Collaborate with Product Managers and cross-functional teams to build AI-powered science solutions. • Work with Azure, Databricks, Python, SQL, and Git to develop production-ready applications. Must Haves • 3+ years of Data Science experience. • Strong experience with Causal Inference and Econometrics. • Experience quantifying treatment effects and translating analytical results into business impact. • Proficiency in Python, SQL, and Git. • Experience with Azure, Databricks, or similar cloud-based platforms. • Hands-on experience with Generative AI, including one or more of: • LLM Fine-Tuning • Prompt Engineering • Retrieval-Augmented Generation (RAG) • Agentic AI Workflows • Strong communication skills and the ability to work with technical and business stakeholders. Desired Skills • Experience with Causal ML techniques such as CATE, Difference-in-Differences (DiD), Matching, and Heterogeneous Treatment Effect Modeling. • Experience with MLOps, CI/CD, model deployment, and monitoring. • Background in Retail, CPG, Media, or Marketplace Analytics. • Experience with experimentation frameworks and measurement pipelines. • Ability to mentor junior team members and contribute to technical leadership. About Matlen Silver Experience Matters. Let your experience be driven by our experience. For more than 40 years, Matlen Silver has delivered solutions for complex talent and technology needs to Fortune 500 companies and industry leaders. Led by hard work, honesty, and a trusted team of experts, we can say that Matlen Silver technology has created a solutions experience and legacy of success that is the difference in the way the world works. Matlen Silver is an Equal Opportunity Employer and considers all applicants for all positions without regard to race, color, religion, gender, national origin, age, sexual orientation, veteran status, the presence of a non-job-related medical condition or disability, or any other legally protected status. If you are a person with a disability needing assistance with the application or at any point in the hiring process, please contact us at email and/or phone at: info@matlensilver.com // 908-393-8600 At The Matlen Silver Group, Inc., W2 employees are eligible for the following benefits: • Health, vision, and dental insurance (single and family coverage) • 401(k) plan (employee contributions only)