Senior Manager, Data Science- Pricing (Hybrid US)

Starbucks • Seattle, WA

256d • Remote

About The Position

Now Brewing - Senior Manager! #tobeapartner From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and the rich tradition, but that also brought a feeling of connection. We are known for developing extraordinary leaders who share this passion and are guided by their service to others. As a Senior Manager at Starbucks, you will lead your team in building data products, uncovering valuable customer insights, and communicating key discoveries. Your work will drive better decision-making across the Strategic Pricing and Product domains. Additionally, you will develop strong partnerships with stakeholders to ensure alignment and success. As a Senior Manager, data science, you will Translate business questions into data problems and define solutions roadmap; build analytics solutions independently and with cross-functional teams. Develop and promote analytics products and insights; establish KPIs and drive data-driven decision-making across business teams. Collaborate and establish expertise in advanced analytics; drive understanding of strategic pricing initiatives across departments.

Requirements

• BA/BS w/ concentration in business or quantitative discipline - Stats, Math, Comp Sci, Engineering, Econ, or similar; Masters preferred.
• Minimum 7 years experience within the field of data science or discipline.
• Proficiency in Python or R, SQL, and relational databases.
• Knowledge of machine learning and statistical modeling techniques including regression, decision trees, classification, causal inference, and clustering algorithms.
• Exposure to production machine learning systems development, package creation, code repository management, and software development best practices.
• Experience with cloud tech for data and analytics solutions (Azure, AWS).
• Excellent attention to detail, strong written and verbal communication skills.
• Experience managing a team.

Responsibilities

• Lead a team in building data products and uncovering customer insights.
• Communicate key discoveries to drive better decision-making.
• Translate business questions into data problems and define solutions roadmap.
• Build analytics solutions independently and with cross-functional teams.
• Develop and promote analytics products and insights.
• Establish KPIs and drive data-driven decision-making across business teams.
• Collaborate and establish expertise in advanced analytics.
• Drive understanding of strategic pricing initiatives across departments.

Benefits

• Access to medical, dental, vision, basic and supplemental life insurance.
• 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 and two personal days per year.
• Participation in a 401(k) retirement plan with employer match.
• Discounted company stock program (S.I.P.).
• Starbucks equity program (Bean Stock).
• Incentivized emergency savings and financial well-being tools.
• 100% upfront tuition coverage for a first-time bachelor’s degree through Arizona State University’s online program.
• Student loan management resources and access to other educational opportunities.
• Access to backup care and DACA reimbursement.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Food Services and Drinking Places
• Education Level: Master's degree