Senior Data Scientist/ML Engineer
About The Position
Strong academic foundation in Statistics (Master's degree or higher preferred). Hands-on, real-world experience working with complex and messy datasets with minimal direction. Ability to explore data with a clear project goal or overarching business question in mind. Experience with advanced statistical and econometric models, including: Constrained hierarchical GLMs with weighted partial pooling. Bayesian hierarchical models with weighted partial pooling. Constrained random coefficient models. Proven experience working with large-scale datasets in cloud-based environments (e.g., Databricks) Familiarity with code version control systems (e.g., GitHub) to enable faster onboarding
Requirements
- Strong academic foundation in Statistics (Master's degree or higher preferred)
- Hands-on, real-world experience working with complex and messy datasets with minimal direction
- Ability to explore data with a clear project goal or overarching business question in mind
- Experience with advanced statistical and econometric models, including: Constrained hierarchical GLMs with weighted partial pooling. Bayesian hierarchical models with weighted partial pooling. Constrained random coefficient models
- Proven experience working with large-scale datasets in cloud-based environments (e.g., Databricks)
- Familiarity with code version control systems (e.g., GitHub)
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What This Job Offers
Job Type
Full-time
Career Level
Senior
