Senior Data Scientist

Lead Stack Inc. is an award winning, one of the nation's fastest growing, certified minority owned (MBE) staffing services provider of contingent workforce. As a recognized industry leader in contingent workforce solutions and Certified as a Great Place to Work, we're proud to partner with some of the most admired Fortune 500 brands in the world.

• AI – Not a deal breaker if they do not have a ton of experience, but must be willing to learn
• Measurement processes
• Quantify treatments back to business (How does purchasing behavior change with different treatments)

• Cincinnati - Onsite 5 days a week
• Open to relocation but must be within first 3 months of employment
• Could consider Chicago if no local candidates can be found, but they would need to travel on occasion to Cincinnati

• Initial Screening with HM and Second round technical screening with member of the team
• Standard for Now, but could switch to custom

As part of this organization, the KM+ DSR team applies statistical science, causal inference, and AI to design experiments, measure impact, and scale insights that drive customer value and loyalty.

We're seeking a Data Scientist to help shape the future of our AI and science capabilities. This is a senior individual contributor role for a technically strong, forward-thinking data scientist who can advance our 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 our space.

• 3+ years of applied data science experience, with demonstrated progression in scope and technical complexity
• Hands‑on experience with Generative AI applications, including one or more of: LLM fine‑tuning, prompt engineering, RAG pipelines, or agentic workflow development
• Familiarity with causal ML and/or causal inference methods (e.g., CATE, heterogeneous treatment effect modeling, DiD, matching)
• Strong proficiency in Python, SQL, and Git
• Experience with Azure and Databricks, or comparable cloud‑based data science platforms
• Experience contributing 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, with the ability to translate between technical and business audiences
• Comfort with ambiguity—able to operate effectively in evolving problem spaces and contribute to early‑stage vision and strategy
• Bachelor's or Master's in Statistics, Data Science, Computer Science, Applied Math, Economics, or related quantitative field

• Experience with MLOps practices including workflow orchestration, model monitoring, reproducibility, and deployment
• Experience in retail, CPG, media, or marketplace analytics
• Demonstrated ability to informally mentor or coach peers in technical best practices
• Familiarity with experimentation frameworks and measurement pipelines

• Advance our 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…