dir analytics & data science- PRO/HR 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 improving the Starbucks partner experience throughout the partner lifecycle. You and your team will consult with stakeholders in PRO (human resources) to uncover the most pressing business questions, identify analytics and data science solutions, and integrate solutions into existing business processes or tools. You and your team will work across various data science problems, from compensation to training to inclusion and diversity. You will champion self-service and build a balanced portfolio of work for your team. You will partner closely with the Market Research & Insights team to ensure solutions address the ‘what’ and the ‘why’ behind the partner experience. You will be an excellent storyteller, adept at using your knowledge of our partner data and insights to influence. 

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

• Mentor and guide data scientists and managers in the creation of models and analyses that drive business and partner value
• Provide coaching to ensure results are interpretable and action-oriented
• Collaborate with partners throughout the PRO organization to build strategic roadmaps for data science and analytics, balancing short-term wins and long-term investments
• 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 in PRO and work collaboratively with Starbucks Technology or other teams to close any identified gaps
• Utilize a systems thinking approach to conceive, plan & prioritize the building of evergreen data products which will address strategic priorities and further our data modernization

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

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.