dir analytics & data science - Operations analytics

Key Skills

Data Analytics, Data science techniques, Design, ETL frameworks, Machine learning techniques, Oracle, PowerBI, Python Programming, R Programming, Tableau

Job Description

In this role you will lead data science teams focused on ensuring our stores have the right partners, schedules, and deployment patterns to best serve customer demand and meet partner needs. You will partner with stakeholders throughout the enterprise to guide strategy, scope, and shape large data science projects, prioritize, and foster cross-team collaboration. You and your team will continue to evolve our staffing model to better support our full and unique footprint of stores. Your operations data science experience will help your team build a robust scheduling engine that enables partners to get the hours and schedules they need. Your strong people leadership skills and product mindset will ensure your teams are successful in delivering a wide variety of innovative data science products at scale. You will be a strong advocate for the power of data science to unlock limitless growth.

As a director of data science – Operations, you will…

• Mentor and guide data scientists and managers in the creation of reliable, production optimization models which drive business and partner value 
• Provide coaching to ensure results are interpretable and action-oriented
• Collaborate with partners throughout the business (Operations, Starbucks Technology) to build strategic roadmaps for key data science and analytics projects
• Serve as an influencer with executive leaders, representing the voice of our customers and partners through compelling storytelling 
• Drive adoption of analytics data products & insights across business teams (Operations, Retail, etc.)
• Utilize a systems thinking approach to conceive, plan & prioritize the building of evergreen data products

We’d love to hear from people with:

• Mastery and comprehensive proficiency across most Statistical Modeling and Machine Learning Techniques (regression, tree models, survival analysis, cluster analysis, forecasting, anomaly detection, association rules, etc.) 
• Experience writing and providing feedback on scripts & coding (Python or R) 
• Mastery and comprehensive proficiency across Data ELT (Teradata, Oracle, SQL, Python) 
• Business experience with visualization tools (e.g., Tableau, Power BI) 
• Strong cross-functional collaboration and influencing skills with a proven ability to drive outcomes 
• Compelling and persuasive oral and written storyteller with a strong executive presence 
• Working knowledge of data systems design & data technologies 
• Ability to handle, and maintain the confidentiality of, highly sensitive information.
• Retail, Finance, and/or e-commerce experience with a heavy focus on retail analytics preferred
• Experience with various optimization techniques (linear programming, mathematical-based methods, etc.) preferred

The pay range for this position may be narrower than that displayed, depending on where the work is performed.

If you live in the greater Seattle area, we offer a flexible workplace that allows for hybrid work. Partners can work remotely up to two days per week. 

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

We are committed to creating a diverse and welcoming workplace that includes partners with diverse backgrounds and experiences. We believe that enables us to better meet our mission and values while serving customers throughout our global communities. People of color, women, LGBTQIA+, veterans and persons with disabilities are encouraged to apply.

Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal state and local ordinances. Starbucks Corporation is committed to offering reasonable accommodations to job applicants with disabilities. If you need assistance or an accommodation due to a disability, please contact us at applicantaccommodation@starbucks.com.