Description

You will own the end-to-end lifecycle of data science models, from initial business requirements to production deployment and optimization.

Responsibilities

• Shepherd models through the full lifecycle: requirements gathering, coding, production release, performance assessment, and refinement.
• Build statistical, predictive, and forecasting models while accounting for algorithmic bias and its implications.
• Communicate complex statistical concepts and model details to peers and non-technical stakeholders using clear, accessible language.
• Support the team by providing training on Git workflows, statistical methods, and knowledge transfer.
• Configure and troubleshoot Linux servers used for hosting data science tools, documenting code, server configurations, software settings, and workflows.

Required Skills

• 5+ years of experience in data science roles.
• Proficiency in coding data science solutions using R or Python.
• Hands-on experience with Git for code version control and collaboration.
• Experience configuring and troubleshooting Linux servers.
• Proven ability to use collaboration software such as Posit Workbench, Databricks, or Hex.
• Strong background in building and validating statistical and predictive models.
• Ability to use simulations to measure model effectiveness and optimize for constraints.
• Bachelor's degree or equivalent graduate level education.

Preferred Skills

• Experience working within a government, school district, or related public sector setting.

Key Skills

Education

Any Gradute