Description

You will drive data science solutions for complex business questions using advanced statistical modeling and cloud-based data processing.

This role is on-site.

Responsibilities

• Explore complex, messy datasets to answer defined business questions.
• Develop and apply advanced statistical and econometric models.
• Work with large-scale datasets within cloud environments.
• Maintain code using version control systems.
• Build constrained random coefficient models and hierarchical GLMs.

Required Skills

• 5+ years of hands-on experience with complex datasets.
• Master's degree or higher in Statistics or a related field.
• Experience with Bayesian models, specifically weighted partial pooling.
• Expertise in GLMs, including constrained hierarchical GLMs.
• Proficiency with Databricks for cloud data processing.
• Familiarity with Git/GitHub for code version control.

Key Skills

Education

Not specified