Sr. data scientist- Data & Analytics (Nashville, TN) at Starbucks Coffee Company | Nashville, TN, US | Rezi

Sr. data scientist- Data & Analytics (Nashville, TN) at Starbucks Coffee Company

Sr. data scientist- Data & Analytics (Nashville, TN)

Starbucks Coffee Company · Nashville, TN, US

2 weeks ago

Sr. data scientist- Data & Analytics (Nashville, TN)

Starbucks Coffee Company · Nashville, TN, US

15 days ago
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About the Role

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.

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).

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
  • 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

Skills

  • Python
  • R
  • SQL
  • Machine learning
  • Statistical modeling
  • Data science
  • Applied analytics
  • Cloud analytics platforms
  • AWS
  • Azure
  • Distributed computing
  • Spark
  • Experiment design
  • Causal inference
  • Mentoring
  • Cross-functional influence

Location

  • Onsite

Work Type

  • Onsite (four days a week)
  • Full-time

Experience Level

  • Senior
  • Lead
  • 4+ years

Education Level

  • BA/BS in a quantitative field
  • MS/PhD in a quantitative discipline

Benefits

  • Medical, dental, vision
  • Basic and supplemental life insurance
  • Voluntary insurance benefits
  • Short-term and long-term disability
  • Paid parental leave
  • Family expansion reimbursement
  • Paid vacation
  • Sick time
  • 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
  • Student loan management resources
  • Access to other educational opportunities
  • Backup care
  • DACA reimbursement

About the Company

  • Starbucks set out to be a different kind of company, one that celebrated coffee and rich tradition, but also brought a feeling of connection.
  • Known for developing extraordinary leaders who share this passion and are guided by their service to others.