Senior/Lead Data Scientist, Data & Analytics

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