As a Senior Data Scientist on the Pricing Data Science team, you will be responsible for developing, enhancing, and maintaining analytical models and optimization algorithms. Your work will translate complex analyses into actionable business insights, empowering leaders to make data-driven decisions.
Requirements
- Bachelor’s with a concentration in a quantitative discipline – Stats, Math, Comp Sci, Engineering, Econ, Quantitative Social Science or similar discipline.
- Minimum of 5+ years of industry experience in data and analytics work.
- Strong problem-solving skills with the ability to influence leadership teams at different levels.
- Significant experience working with predictive and statistical modeling, machine learning, and strong expertise in all phases of the modeling pipeline.
- Strong SQL, databases, and ETL / ELT skills required including cleaning and managing data.
- Advanced competency and expertise in Python, R, or some combination.
- Experience working with distributed data processing frameworks such as Spark and Databricks, and languages such as Java, PySpark, or Scala.
- Strong collaboration instincts – desire & ability to work with partners to achieve the best outcome for the business.
- Excellent communication, presentation, and storytelling skills.
- Proven ability to manage multiple, time-sensitive projects and competing priorities simultaneously to drive projects to completion with minimal guidance and high attention to details.
Benefits
- Medical, dental, vision, basic and supplemental life insurance
- Paid parental leave
- Family expansion reimbursement
- Paid vacation
- Sick time
- 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
- 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
To apply for this job please visit apply.starbucks.com.

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