Data Scientist II/Onsite/FullStack
Listed on 2026-01-12
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IT/Tech
Data Scientist, AI Engineer, Data Analyst, Machine Learning/ ML Engineer
Location: St. Louis
Lead Data Scientist, Strategic Analytics - Data Science
Location:
St Louis, MO
Salary: $-$
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Motion Recruitment Partners, LLC, is seeking a Lead Data Scientist to join a fast‑moving team that builds intelligent agentic analytics platforms used to solve real business problems across forecasting, custom modeling, pricing, and structured data validation. This team turns proof‑of‑concepts into production in 4‑6 weeks and values technical excellence and sound judgment over rote process.
Your work will directly influence how companies operationalize machine learning and data science into strategic decisioning. In this role you will own full‑stack data science challenges end‑to‑end: from ideation and modelling strategy through implementation in production systems, integrating models into pipelines, and collaborating with engineering on deployable solutions. You will work on custom forecasting and pricing models, experiment with fine‑tuning and agent‑based approaches, and bring rigor to projects involving structured government form data and similar domains.
The right person thrives in a dynamic environment, moves confidently without a script, and iterates quickly while still knowing when to slow down and ensure quality.
Qualifications- 3-7 years of hands‑on data science experience, including real exposure to production stacks and deployed models
- Strong grounding in custom modelling, forecasting, and pricing work
- Comfortable building and validating models end‑to‑end, including data prep, validation, and deployment
- A broad toolkit across statistical modelling, ML, and experimentation that is adaptable to multiple verticals
- Curiosity, good judgment, and the confidence to push boundaries while shipping pragmatic results
- Experience with model fine‑tuning and an interest in autonomous agentic systems
- The ability to move fast on POCs and collaborate effectively with engineering partners
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