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Starbucks Coffee
Seattle, WA | Full Time
$204k-241k (estimate)
3 Months Ago
Senior Decision Scientist, Existing Store Strategy (hybrid)
Starbucks Coffee Seattle, WA
$204k-241k (estimate)
Full Time | Consumer Goods 3 Months Ago
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Starbucks Coffee is Hiring a Senior Decision Scientist, Existing Store Strategy (hybrid) Near Seattle, WA

Job Details

Now Brewing - Senior Decision Scientist! #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.
The senior decision scientist provides the opportunity to help shape the future of our store experience. Store operations in our dynamic environment are reliant upon systems and solutions in decision support founded on strong data. The future success and productivity in our store operating environment will benefit substantially from a decision support product environment that reduces the cognitive load of our managers to aid in improving the overall health of our store portfolio.
As a Senior Decision Scientist, you will...
  • Lead people: Inspire a team of data analysts and data scientists by delivering a clear vision for decision support and leading partners in data modeling while leveraging the Starbucks Values to to achieve results.
  • Manipulate and Model Data: Procure and manipulate large-scale, complex data from a variety of systems (AWS, Azure, Databricks, Alteryx, SQL, Python, etc.). Identify anomalies and data issues and work cross functionally to resolve.
  • Prepare Data: Execute extraction and synthesis of data from various databases, including Azure, data lake storage, SQL server and legacy systems
  • Complete Data Analyses: Apply business acumen to identify key problems for our organization to solve through statistical analysis and modeling techniques, including descriptive and predictive analysis
  • Build insights: Understand complexity, usage and limitations of data, drawing key themes by making connections from disparate data sources to influence executive level audiences through storytelling that is accessible and informative
  • Operationalize and communicate insights: Effectively present complex technical material to non-technical audiences in an approachable way with insights and implications. Provide analytic validation and application of data to accurately represent the model and promote recommendations into business processes
  • Collaborate cross-functionally: With colleagues at all organizational levels, understand decision science and advanced analytics and work with data science and data engineering to bring effective decision support solutions to market
  • Create recommendations and opportunities: Connect opportunities and insights across the enterprise, identify unique opportunities and gain organizational momentum toward vision
  • Visualize Data: Work under consultative or self-initiated direction to assess and produce relevant, standard or custom information (e.g., reports, charts, graphs and tables) from structured data sources accompanied by skilled communication, data presentation and storytelling
We'd love to hear from people with experience in:
  • Leading, inspiring and motivating teams- Proven people leadership and career development
  • Progressive experience in product management, design-thinking, management consulting and/or corporate strategy leading transformation programs and projects
  • Passion for decision support strategy development and experience working with data scientists in a product development environment
  • Demonstrated ability to use analytics and optimization tools to inform product planning and prioritization.
  • Managing experts in data analysis and data modeling
  • Strong Proficiency with SQL and Python
  • Experience in gathering procure and manipulate large-scale, complex data from a variety of systems (AWS, Azure, Databricks and Alteryx
  • Skilled knowledge of statistics (e.g., descriptive, regression, predictive etc.)
  • Business experience with several data visualization tools (e.g., Tableau, Power BI)
  • Developing and delivering presentations to executive-level audiences
  • Strategic planning or management consulting preferred
  • Education (preferred): BA/BS concentration with discipline in Stats, Math, Comp Sci, Engineering, Economics, Quantitative Social Science, or similar; MBA or graduate degree in data science or adjacent field
  • Years of experience in specific field or utilizing designated skills: Minimum 3 years' experience
As a Starbucks partner, you (and your family) will have access to medical, dental, vision, basic and supplemental life insurance, and other voluntary insurance benefits. Partners have access to 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. Starbucks also offers eligible partners participation in a 401(k) retirement plan with employer match, a discounted company stock program (S.I.P.), Starbucks equity program (Bean Stock), incentivized emergency savings, and financial well-being tools. Additionally, Starbucks offers 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, and access to other educational opportunities. You will also have access to backup care and DACA reimbursement. Starbucks will comply with any applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, and in accordance with its plans and policies. This list is subject to change depending on collective bargaining in locations where partners have a certified bargaining representative. For additional information regarding partner perks and more detailed information about benefits, go to starbucksbenefits.com.
*If you are working in CA, CO, IL, LA, ME, MA, NE, ND or RI, you will accrue vacation up to a maximum of 120 hours (190 in CA) for roles below director and 200 hours (316 in CA) for roles at director or above. For roles in other states, you will be granted vacation time starting at 120 hours annually for roles below director and 200 hours annually for roles director and above.
The actual base pay offered to the successful candidate will be based on multiple factors, including but not limited to job-related knowledge/skills, experience, geographical location, and internal equity. At Starbucks, it is not typical for an individual to be hired at the high end of the range for their role, and compensation decisions are dependent upon the facts and circumstances of each position and candidate.
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.
Join us and inspire with every cup. Apply today!
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, physical or mental disability, sexual orientation, marital status, military or veteran status, gender identity and expression, genetic information, or any other factor protected by law.
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

Job Summary

JOB TYPE

Full Time

INDUSTRY

Consumer Goods

SALARY

$204k-241k (estimate)

POST DATE

05/31/2024

EXPIRATION DATE

06/02/2024

HEADQUARTERS

XUHUI, SHANGHAI

SIZE

200 - 500

FOUNDED

2016

CEO

JINGYING WANG

REVENUE

$10M - $50M

INDUSTRY

Consumer Goods

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