About The Position

As a Senior Data Scientist, you’ll help guide business decisions by building and applying statistical and machine learning approaches to solve high-impact problems. You’ll partner cross-functionally to turn ambiguous questions into measurable solutions—delivering insights and models that can be adopted into real business workflows.

Requirements

  • 4+ years in data science, applied analytics, or a closely related field
  • BA/BS in a quantitative field (or equivalent practical experience)
  • Proficiency with Python or R and SQL

Nice To Haves

  • MS/PhD in a quantitative discipline (or equivalent advanced experience)
  • Experience deploying or maintaining models in production environments (monitoring, retraining, performance measurement)
  • Experience with cloud analytics platforms (e.g., AWS or Azure) and/or distributed computing (e.g., Spark)
  • Familiarity with experiment design / causal inference and translating results into business actions
  • Demonstrated ability to mentor others and influence cross-functional partners toward adoption

Responsibilities

  • Develop and apply analytical models (statistical and/or machine learning) to improve decision-making, performance, and customer/partner outcomes.
  • Translate business problems into data science solutions by defining approach, sourcing/validating data, and communicating clear recommendations to technical and non-technical stakeholders.
  • Operationalize your work by creating repeatable analysis/model pipelines, improving model performance over time, and contributing to shared standards (documentation, version control, reproducibility).

Benefits

  • medical, dental, vision, basic and supplemental life insurance, and other voluntary insurance benefits
  • short-term and long-term disability
  • paid parental leave
  • family expansion reimbursement
  • paid vacation from date of hire
  • sick time (accrued at 1 hour for every 25 hours worked)
  • eight paid holidays
  • two personal days per year
  • 401(k) retirement plan with employer match
  • discounted company stock program (S.I.P.)
  • Starbucks equity program (Bean Stock)
  • incentivized emergency savings
  • financial well-being tools
  • 100% upfront tuition coverage for a first-time bachelor’s degree through Arizona State University’s online program via the Starbucks College Achievement Plan
  • student loan management resources
  • access to other educational opportunities
  • backup care
  • DACA reimbursement
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