Lead Data Scientist – ML & Production (Onsite 4x/wk)

Starbucks Corp.; Nashville (TN); Vor Ort; USD 120.000 - 190.000; Vollzeit

Benefits dieser Stelle

Medical insurance

Dental insurance

Vision insurance

401(k) with employer match

Tuition reimbursement

Paid parental leave

Zusammenfassung

Starbucks Corp. in Nashville, TN is seeking a Senior/Lead Data Scientist to develop and apply analytical models that improve decision-making and customer/partner outcomes.

You will translate complex business problems into data science solutions, and operationalize models with repeatable pipelines and governance. The role emphasizes collaboration with stakeholders across the business, mentoring others, and contributing to standards for reproducibility.

Qualifikationen

• 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.

Aufgaben

• 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).

Kenntnisse

Python

R

SQL

Ausbildung

BA/BS in quantitative field

Tools

AWS

Azure

Spark

Jobbeschreibung

Starbucks Corp. in Nashville, TN is seeking a Senior/Lead Data Scientist to develop and apply analytical models that improve decision-making and customer/partner outcomes.

You will translate complex business problems into data science solutions, and operationalize models with repeatable pipelines and governance. The role emphasizes collaboration with stakeholders across the business, mentoring others, and contributing to standards for reproducibility.