Data Scientist II

Contract to Hire Cincinnati, OH Remote-friendly 2 months ago
Location Cincinnati, OH
Job Type Contract to Hire
Remote Yes
Posted 2 months ago

For more than three decades, Strategic Data Systems (SDS) has been a software consultancy firm specializing in strategy, technology, and business transformation for Fortune 100 companies, mid-sized firms, and startups. At SDS, we empower our development teams to address our clients’ critical business challenges by leveraging cutting edge technologies. If you seek a workplace where your contributions are truly appreciated, then SDS is the company for you.

Join us today to work alongside fellow development specialists and become a crucial part of our dynamic and cohesive community.

Job Title:
Data Scientist

Location:
Cincinnati, OH [onsite, downtown] OR Chicago, IL [Downtown, with travel to Cincinnati] HIGHLY PREFERRED:
Remote EST/CST candidates will be considered

Years of

Experience:

3+

CONTRACT TO HIRE - MUST BE ABLE TO CONVERT TO FTE W/O SPONSORSHIP***

TOP

SKILLS:

• Causal Inferences Experience
• AI – Not a deal breaker if no experience, must be willing to learn
• Econometrics
• Measurement processes
• Quantify treatments back to business (How does purchasing behavior change with different treatments)

What You’ll Do

SUMMARY

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.

QUALIFICATIONS, SKILLS & EXPERIENCE

• 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

Preferred:

• 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

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…