data scientist, Data & Analytics at Starbucks

Job description

Now Brewing – Data Scientist! #tobeapartner From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and rich tradition, but 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 Data Scientist, you’ll support business decisions by partnering on a cross-functional team to understand complex data relationships and build core data science models. You’ll use data to create insights, develop repeatable pipelines, and deliver decision-ready outputs that can be adopted into real workflows. As a Data Scientist, you will… • Extract, shape, and validate data using SQL (and other frameworks as needed) to create analytically-ready datasets and dimensional/relational processes that support measurement and decision-making. • Build and improve models and pipelines by developing basic data science models (or enhancing existing ones) and creating data pipelines for model training and outputs within shared codebases. • Communicate insights clearly by explaining methodology choices, building dashboards/visualizations to validate outputs and monitor model performance, and translating results into implications and recommendations. We’d love to hear from people with: • 1+ year of experience in data science, applied analytics, or related work • BA/BS or equivalent experience • Proficiency with SQL and Python and/or R (data prep, pipelines, modeling) • Working knowledge of common modeling techniques (e.g., regression, classification, decision trees, clustering, causal inference) • Experience with data visualization tools (e.g., Tableau, Power BI, or similar) • Strong communication skills and attention to detail Preferred qualifications • Degree concentration in a quantitative field (e.g., Statistics, Math, Computer Science, Engineering, Economics, Psychology, Quantitative Social Science, or similar) • Advanced degree (MS or PhD) preferred. • Experience working in shared analytics/engineering environments (version control, documentation, reproducible workflows) • Experience supporting model measurement/monitoring through dashboards and performance reporting • Expertise in building Bayesian elasticity models and causal inference • Experience in optimization techniques such as linear programming, mixed-integer programming, or heuristic algorithms for decision support 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. We believe we do our best work when we’re together, which is why we’re onsite four days a week. Join us and inspire with every cup. Apply today! Starbucks Coffee Company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, or protected veteran status, or any other characteristic protected by law. Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances. Starbucks Coffee Company 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 or 1(888) 611-2258.

Requirements

Must-haves

Now Brewing – Data Scientist! #tobeapartner
As a Data Scientist, you will…
Extract, shape, and validate data using SQL (and other frameworks as needed) to create analytically-ready datasets and dimensional/relational processes that support measurement and decision-making.
Build and improve models and pipelines by developing basic data science models (or enhancing existing ones) and creating data pipelines for model training and outputs within shared codebases.
Communicate insights clearly by explaining methodology choices, building dashboards/visualizations to validate outputs and monitor model performance, and translating results into implications and recommendations.
1+ year of experience in data science, applied analytics, or related work
BA/BS or equivalent experience
Proficiency with SQL and Python and/or R (data prep, pipelines, modeling)
Working knowledge of common modeling techniques (e.g., regression, classification, decision trees, clustering, causal inference)
Experience with data visualization tools (e.g., Tableau, Power BI, or similar)
Strong communication skills and attention to detail

Nice-to-haves

Degree concentration in a quantitative field (e.g., Statistics, Math, Computer Science, Engineering, Economics, Psychology, Quantitative
Social Science, or similar)
Advanced degree (MS or PhD) preferred.
Experience working in shared analytics/engineering environments (version control, documentation, reproducible workflows)
Experience supporting model measurement/monitoring through dashboards and performance reporting
Expertise in building Bayesian elasticity models and causal inference
Experience in optimization techniques such as linear programming, mixed-integer programming, or heuristic algorithms for decision support
We believe we do our best work when we’re together, which is why we’re onsite four days a week.
Join us and inspire with every cup. Apply today!

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

sqlpythongo

Platform: eightfold
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Parental Leave