Senior/Lead Data Scientist, Data & Analytics

Starbucks; Nashville (TN); On-site; USD 129,000 - 216,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

401(k) retirement plan with employer/m

Starbucks Stock Investment Plan (S.I.P

Paid vacation

Paid holidays

Paid parental leave

Family expansion reimbursement

Job summary

Starbucks in Nashville, TN is seeking a data scientist to build and apply statistical and machine learning models to improve customer and partner outcomes. This onsite role requires 4+ years of experience and a BA/BS in a quantitative field.

The position focuses on translating business problems into data-driven solutions, deploying robust model pipelines in production, and collaborating with cross-functional teams across cloud platforms (AWS/Azure) and SQL-based analytics.

Qualifications

• Minimum of four years in data science, analytics or related field.
• Bachelor's degree in a quantitative field or equivalent experience.
• Proficiency in Python or R and SQL.

Responsibilities

• Build and apply statistical and machine learning models to improve decision-making, performance, and outcomes for customers and partners.
• Translate business problems into data science solutions by defining the approach, sourcing and validating data, and delivering clear recommendations to stakeholders.
• Operationalize work through repeatable analysis and model pipelines, monitor and enhance model performance over time.

Skills

Statistical modeling

Machine learning

Data analysis

Communication

Problem solving

Education

Bachelor's degree in a quantitative field

Tools

Python

R

SQL

AWS

Azure

Spark

Job description

This role is based in Nashville, TN onsite, with a salary range of USD 129,400 to 215,900 per year. The position requires at least 4 years of experience and a BA/BS in a quantitative field.

Responsibilities

• Build and apply statistical and machine learning models to improve decision-making, performance, and outcomes for customers and partners.
• Translate business problems into data science solutions by defining the approach, sourcing and validating data, and delivering clear recommendations to both technical and non-technical stakeholders.
• Operationalize work through repeatable analysis and model pipelines, monitor and enhance model performance over time, and contribute to shared standards for documentation, version control, and reproducibility.

Requirements

• Minimum of four years 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 insurance
• Dental insurance
• Vision insurance
• Life insurance
• Supplemental life insurance
• Short-term and long-term disability insurance
• Paid parental leave
• Family expansion reimbursement
• Paid vacation
• Sick time
• Paid holidays
• Personal days
• 401(k) retirement plan with employer match
• Starbucks Stock Investment Plan (S.I.P.)
• Bean Stock equity program
• Emergency savings
• Financial well-being tools
• Tuition coverage through Starbucks College Achievement Plan (ASU online program)
• Student loan management resources
• 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 (monitoring, retraining, performance measurement)
• Experience with cloud analytics platforms (AWS or Azure) and/or distributed computing (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