Senior Data Scientist
Role summary
We are seeking a Senior Data Scientist / Machine Learning Engineer with a minimum of 8 years of experience. This role focuses on hands-on delivery of scalable analytical solutions, requiring strong expertise in applied machine learning, predictive modeling, statistical analysis, Python, SQL, and cloud/distributed computing environments. Experience with Databricks is essential. The candidate will collaborate with cross-functional teams and stakeholders. Preferred skills include experience with the Ray framework and Reliability Engineering concepts. This is a 6+ month contract role in Columbus, OH, with a rate up to $45/hr on W2.
Senior Data Scientist / Machine Learning Engineer
Location:
Columbus, OH (Local or East Coast candidates preferred)
Duration:
6+ months (extension possible)
Rate:
Up to $45/hr on W2 (USC/GC only)
Work Authorization:
No OPT/CPT
Experience Required:
Minimum 8 years
Role Summary
We are looking for a senior-level resource with strong hands-on experience in machine learning and data science. This role is focused on delivery, working closely with cross-functional teams and contributing to the development of scalable analytical solutions.
Key Requirements
- Strong experience in applied machine learning and predictive modeling
- Solid background in statistical analysis and problem solving
- Hands-on experience with Databricks
- Strong coding skills in Python and SQL
- Experience working in cloud or distributed computing environments
- Ability to work with business and technical stakeholders
- Experience working in cross-functional teams
Preferred Skills
- Experience with Ray framework is a strong plus
- Exposure to Reliability Engineering concepts is beneficial
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