Starbucks
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senior decision scientist, Quantitative Science
role at
Starbucks
This range is provided by Starbucks. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $130,300.00/yr - $217,400.00/yr
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 Senior Decision Scientist – Quantitative Science on the Global Supply Chain (GSC) Network Optimization team you will serve in a senior applied technical role leading analytical strategy and experimentation that improves product availability in our coffeehouses, inclusive of broader supply chain considerations and execution within our coffeehouses. You will use advanced statistical modeling, machine learning, and causal inference to diagnose availability drivers, optimize inventory decisions, and ensure that customers can find the right products they want – when and where they expect them. You will partner with data science, engineering, supply chain and coffeehouse operations teams to build data-driven solutions that improve how we forecast demand, manage and replenish inventory, and measure in-store execution. The combination of your strategic lens and extensive, hands‑on direct application will deliver quantifiable benefits for our network, coffeehouses, customers and bottom line.
As a senior decision scientist, you will…
Lead analytical workstreams to identify root causes of product unavailability, out-of-stocks, phantom inventory, and replenishment failures
Leverage statistical and ML models for demand forecasting, inventory optimization, anomaly detection, and availability risk‑scoring
Develop causal inference and experimentation frameworks to quantify the impact of operational or assortment changes
Champion data quality and operational measurement, including availability KPIs, forecast accuracy, inventory health metrics, and coffeehouse‑level execution indicators
Influence strategy by presenting findings and recommendations to senior leaders and cross‑functional partners
Mentor junior analysts and scientists and elevate best practices in modeling, experimentation, and analytics
We’d Love To Hear From People With
MS+ with concentration in quantitative discipline – Operations Research, Stats, Math, Comp Sci, Engineering, Econ, or similar discipline
3+ years industry experience in data science
Experience with forecasting, inventory optimization, and supply chain planning
Modeling pipeline
Experience building complex data sets from multiple data sources, both internally and externally
Experience root causing complex and ambiguous current state outcomes and trends and tying to specific technical and nontechnical resolutions
Strong SQL, database and ETL skills required including cleaning and managing data
Strong competency and expertise in Python, R or some combination
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 / machine learning 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 with Cloud platforms such as Azure, AWS, Databricks, and AI‑assisted capabilities preferred
Experience with multi‑-echelon inventory optimization preferred
Experience specific to quick service restaurant or retail inventory management beneficial, not required
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.
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 or 1(888) 611-2258.
Seniority level Not Applicable
Employment type Full‑time
Job function Supply Chain
Industries Manufacturing, Food and Beverage Services, and Retail
Referrals increase your chances of interviewing at Starbucks by 2x
Get notified about new Senior Data Scientist jobs in
Seattle, WA .
#J-18808-Ljbffr
senior decision scientist, Quantitative Science
role at
Starbucks
This range is provided by Starbucks. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $130,300.00/yr - $217,400.00/yr
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 Senior Decision Scientist – Quantitative Science on the Global Supply Chain (GSC) Network Optimization team you will serve in a senior applied technical role leading analytical strategy and experimentation that improves product availability in our coffeehouses, inclusive of broader supply chain considerations and execution within our coffeehouses. You will use advanced statistical modeling, machine learning, and causal inference to diagnose availability drivers, optimize inventory decisions, and ensure that customers can find the right products they want – when and where they expect them. You will partner with data science, engineering, supply chain and coffeehouse operations teams to build data-driven solutions that improve how we forecast demand, manage and replenish inventory, and measure in-store execution. The combination of your strategic lens and extensive, hands‑on direct application will deliver quantifiable benefits for our network, coffeehouses, customers and bottom line.
As a senior decision scientist, you will…
Lead analytical workstreams to identify root causes of product unavailability, out-of-stocks, phantom inventory, and replenishment failures
Leverage statistical and ML models for demand forecasting, inventory optimization, anomaly detection, and availability risk‑scoring
Develop causal inference and experimentation frameworks to quantify the impact of operational or assortment changes
Champion data quality and operational measurement, including availability KPIs, forecast accuracy, inventory health metrics, and coffeehouse‑level execution indicators
Influence strategy by presenting findings and recommendations to senior leaders and cross‑functional partners
Mentor junior analysts and scientists and elevate best practices in modeling, experimentation, and analytics
We’d Love To Hear From People With
MS+ with concentration in quantitative discipline – Operations Research, Stats, Math, Comp Sci, Engineering, Econ, or similar discipline
3+ years industry experience in data science
Experience with forecasting, inventory optimization, and supply chain planning
Modeling pipeline
Experience building complex data sets from multiple data sources, both internally and externally
Experience root causing complex and ambiguous current state outcomes and trends and tying to specific technical and nontechnical resolutions
Strong SQL, database and ETL skills required including cleaning and managing data
Strong competency and expertise in Python, R or some combination
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 / machine learning 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 with Cloud platforms such as Azure, AWS, Databricks, and AI‑assisted capabilities preferred
Experience with multi‑-echelon inventory optimization preferred
Experience specific to quick service restaurant or retail inventory management beneficial, not required
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.
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 or 1(888) 611-2258.
Seniority level Not Applicable
Employment type Full‑time
Job function Supply Chain
Industries Manufacturing, Food and Beverage Services, and Retail
Referrals increase your chances of interviewing at Starbucks by 2x
Get notified about new Senior Data Scientist jobs in
Seattle, WA .
#J-18808-Ljbffr