Salaried Rag Jobs in Ohio (NOW HIRING)

RESPONSIBILITIES:
Kforce has a client that is seeking a Data Scientist Level 2 in Cincinnati, OH.
Responsibilities:
* 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 capabilities in the personalization and loyalty space
* Contribute to the vision and early development of a holistic science layer-working to connect and consolidate scattered science capabilities into a unified, scalable framework
* Apply and extend causal ML and econometric methods (e.g., CATE, DiD, matching, panel methods) to support measurement, experimentation, and personalization at scale
* Build, maintain, and improve production ML and experimentation pipelines using sound MLOps and software engineering practices, including CI/CD, version control, testing, and documentation
* Research and evaluate emerging AI/ML technologies and methodologies, identifying opportunities to bring state-of-the-art approaches into production
* Serve as a technical leader and subject matter expert on the team, providing guidance and informal mentorship to peers and evolving into a formal mentor as junior talent joins the team
* Communicate complex technical findings and methodologies clearly to both technical and non-technical audiences, including leadership and product stakeholders
REQUIREMENTS:
* Bachelor's or Master's in Statistics, Data Science, Computer Science, Applied Math, Economics, or related quantitative field
* 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
Preferred Skills:
* 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
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
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