senior data scientist (Seattle, WA - U.S.)

Starbucks•Seattle, WA

48d•Onsite

About The Position

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 an optimization-focused Senior Data Scientist on the Global Supply Chain (GSC) Network Optimization team, you will serve in a senior applied technical role designing and implementing models and analyses for some of our supply chain's most complex challenges. You will work cross-functionally with data engineers, data scientists, business experts, and external vendors to help Starbucks make decisions better by using data and analytics, while also coaching technical team members and educating nontechnical team members on methodologies and best practices. You will leverage deep technical expertise and applied experience to advance better, data-driven supply chain decisions that drive enterprise value in the form of enhanced service levels, time or cost savings, improved customer and partner experience, risk mitigation and business growth.

Requirements

MS+ with concentration in quantitative discipline - Operations Research, Stats, Math, Comp Sci, Engineering, Econ, or similar discipline
3+ years industry experience in data science
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

Nice To Haves

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

Responsibilities

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 an executive leadership level and also more detailed technical reviews with the analytics community
Mentor data analysts & data scientists to support skill development and advancement

Benefits

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.