decision scientist, Operations Research
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Now Brewing – Decision Scientist, Operations Research! #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 Decision Scientist on the Global Supply Chain (GSC) Network Optimization team, you will serve in an applied technical role leading analytical development and optimization efforts for our supply chain network. You will design, model and optimize end-to-end supply chain topology solutions encompassing manufacturing, sourcing, transportation, warehousing, and final mile delivery inclusive of within-coffeehouse impacts to drive resilience, cost efficiency, and service. Working cross-functionally with data engineers, data scientists, business experts, and external vendors, you will play a critical role integrating mathematical modeling and real-world operational decision-making to deliver results for our business, partners and customers.
As a decision scientist, you will…
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 or 1(888) 611-2258.
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 Decision Scientist on the Global Supply Chain (GSC) Network Optimization team, you will serve in an applied technical role leading analytical development and optimization efforts for our supply chain network. You will design, model and optimize end-to-end supply chain topology solutions encompassing manufacturing, sourcing, transportation, warehousing, and final mile delivery inclusive of within-coffeehouse impacts to drive resilience, cost efficiency, and service. Working cross-functionally with data engineers, data scientists, business experts, and external vendors, you will play a critical role integrating mathematical modeling and real-world operational decision-making to deliver results for our business, partners and customers.
As a decision scientist, you will…
- Formulate, develop, and deploy optimization, simulation, and mathematical models addressing:
- Distribution network topology, design and long-range planning to achieve cost and service objectives
- Multiechelon inventory flow
- Transportation routing, scheduling and mode optimization
- Final mile replenishment to our coffeehouses
- Evaluate unstructured questions from business teams and translate into data problems
- Apply statistical knowledge to create optimization models & predictive analyses
- Utilize systems thinking approach to conceive, plan, and build new data products
- Drive adoption of data products and insights across business teams by visualizing results and crafting effective communications to share discoveries
- Lead data science solutions as an embedded technical expert from beginning to end
- Build relationships with a wide-range of business partners and establish yourself and the team as subject matter experts in supply chain analytics
- Ability to work independently and through ambiguous situations to build relevant analytic solutions using quantitative approaches
- Strong presentation skills to be able to share insights and recommendations at a senior leadership level and also more detailed technical reviews with the analytics community
- MS+ with concentration in quantitative discipline – Operations Research, Stats, Math, Comp Sci, Engineering, Econ, or similar discipline
- Strong background working with predictive and statistical modeling, machine learning, optimization and strong expertise in all phases of the modeling pipeline
- Experience building complex data sets from multiple data sources, both internally and externally
- Strong SQL, database and ETL skills required including cleaning and managing data
- Advanced competency and expertise in Python, R or some combination
- Experience with integer programming, local search heuristics, and related OR tools (e.g. Gurobi, CPLEX, XPRESS)
- Ability to apply knowledge of multidisciplinary business principles and practices to achieve successful outcomes in cross-functional projects and activities
- Ability to educate others on statistical / optimization modeling methods
- Self-starter, attention to details and results orientated, able to work under minimal guidance
- Proficient in communicating effectively with both technical and nontechnical stakeholders
- Experience on Cloud platforms such as Azure, AWS, preferred
- Experience with multi-echelon network design and inventory optimization, preferred
- Experience developing and fitting machine learning models, preferred
- 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.
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 or 1(888) 611-2258.
Job Type
- Job Type
- Full Time
- Location
- Seattle, WA
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