Senior/Lead Data Scientist, Data & Analytics

Starbucks is seeking a Senior/Lead Data Scientist, Data & Analytics to develop analytical models and machine learning solutions that guide business decisions and operationalize insights across cross-functional teams. This onsite role is based in Seattle, WA.

Role Details

Location: Seattle, WA (onsite)

Salary: USD 130,300 - 217,400 per year

Minimum Experience: 4 years

Education: BA/BS in a quantitative field

Responsibilities

• Create and apply analytical models using statistical methods or machine learning to enhance decision making, performance, and customer and partner outcomes.
• Translate business challenges into data science solutions by outlining approach, identifying and validating data sources, and delivering clear recommendations to both technical and non-technical stakeholders.
• Operationalize work through repeatable analysis and model pipelines, monitor and improve model performance over time, and contribute to shared standards including documentation, version control, and reproducibility.

Requirements

• At least four years of experience in data science, applied analytics, or a closely related field
• Bachelor's degree in a quantitative field or equivalent practical experience
• Proficiency in Python or R and SQL

Technologies

• Python
• R
• SQL
• AWS
• Azure
• Spark

Benefits

• Medical, dental, and vision insurance, plus basic and supplemental life insurance
• Short-term and long-term disability coverage
• Paid parental leave
• Family expansion reimbursement
• Paid vacation from date of hire
• Sick time accrued at 1 hour per 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 and financial well-being tools
• 100 percent 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 additional educational opportunities
• Backup care
• DACA reimbursement

Preferred Qualifications

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