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Job Description

Lead and deliver data science solutions that translate data into measurable business outcomes.

Responsibilities

  • Design and implement data science solutions for complex or ambiguous problems using machine learning, statistical modeling, and experimentation
  • Assess cross-team perspectives and analyze model interactions across teams, processes, and systems to select the right data science strategy and methods
  • Drive data science best practices by setting standards for reproducible models and analyses that others can contribute to and extend
  • Mentor and develop other data scientists by reviewing analyses, providing technical feedback, and sharing expertise through presentations and knowledge-sharing sessions
  • Spot gaps in current metrics and propose new measurements or data sources, challenging assumptions and restructuring approaches to address root causes of recurring problems

Requirements

  • 5+ years working with data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/mathematical software (e.g., R, SAS, Matlab)
  • 4+ years of data scientist experience
  • Experience with statistical models such as multinomial logistic regression
  • 2+ years of data visualization experience using AWS QuickSight, Tableau, R Shiny, or similar tools
  • Experience managing data pipelines
  • Experience leading and mentoring on a data science team

Technologies

  • SQL
  • Python
  • R
  • SAS
  • Matlab
  • AWS QuickSight
  • Tableau
  • R Shiny
  • Multinomial logistic regression

Benefits

  • Sign-on payments
  • Restricted stock units (RSUs)
  • Health insurance including medical, dental, vision, prescription, Basic Life & AD&D, and options for Supplemental life plans
  • EAP and Mental Health Support
  • Medical Advice Line
  • Flexible Spending Accounts
  • Adoption and Surrogacy Reimbursement coverage
  • 401(k) matching
  • Paid time off
  • Parental leave

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