Sr. data scientist- Data & Analytics

Starbucks Corp.; Nashville (TN); On-site; USD 115,000 - 192,000; Full time

Benefits offered by this job

Medical, dental, and vision

Basic and supplemental life insurance

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

Eight paid holidays

Two personal days per year

401(k) retirement plan with employer"+

Job summary

Starbucks Corp. in Nashville, TN seeks a Senior/Lead Data Scientist to build statistical and ML solutions addressing high-impact problems and informing business decisions. You will blend hands-on model development with operational analytics for real-world workflows.

The role emphasizes cross-functional collaboration, governance, and scalable pipelines, with strong emphasis on translating complex data insights into actionable business actions.

Qualifications

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

Responsibilities

• Develop and apply analytical models to improve decision-making, performance, and outcomes.
• Translate business needs into data science solutions by defining the approach, sourcing data, and communicating recommendations.
• Operationalize work by building repeatable analysis and model pipelines with documentation and version control.

Skills

Analytical modeling

Data-driven decisions

Mentoring

Education

BA/BS in quantitative field

MS/PhD in quantitative discipline

Tools

Python

R

SQL

AWS

Azure

Spark

Job description

Starbucks is looking for a Senior/Lead Data Scientist in Nashville, TN (onsite) to build statistical and machine learning solutions that address high-impact problems and inform business decisions. This role combines hands-on model development with operationalizing analytics so results can be used in real workflows. You will collaborate across functions to turn ambiguous questions into measurable outcomes.

What you’ll do

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

Preferred qualifications

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

Tools you’ll work with

Python, R, SQL, AWS, Azure, Spark

Compensation

USD 115,300 - 192,400 per year

Benefits

• Medical, dental, and vision
• Basic and supplemental life insurance
• 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

Participation in a 401(k) retirement plan with employer match (eligible partners)

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

Vacation accrual rules for certain states (CA, CO, IL, LA, ME, MA, NE, ND, RI) and other states