Senior Data Scientist

Job DescriptionResponsibilities

• Consult with internal clients and build data products / workflows to support critical operations
• Migrate and modernize clients’ workload from legacy environment to the cloud to realize quantifiable improvements
• Spearhead AI adoption with clients to drive business outcomes
• Create reference use cases with supporting tutorials, reference code, and training to drive the adoption of cloud tooling for concrete business results
• Host office hours to upskill clients
• Develop, train, and deploy machine learning to solve complex business problemsRequired Skills and Experience
• Bachelor’s degree in Engineering, Computer Science, Systems, Business or related scientific/technical discipline,+15 years experience (or commensurate experience).
• Proficient in Python and advanced SQL for data analysis
• 2+ years’ experience performing work on leading cloud platforms such as Databricks, Azure, AWS, and GCP
• Experience in the end-end data science workflow, from identifying datasets to production, and associated tooling (NumPy, SciPy, MLFlow)
• Solid understanding of traditional machine learning toolboxes
• Working knowledge of large language models (LLMs) and agentic AI workflow
• Ability to obtain and maintain a suitability/public trust clearancePreferred Skills and Experience
• 5+ years data scientist experience shipping multiple products in operation
• 2+ year experience in building visualized insights (dashboards and reports) supporting operational needs
• Prior experience using R / Stata / SAS
• Experience of refactoring of R / Stata / SAS codebase to Python
• Prior experience shipping products leveraging LLMs or AI agents