Starbucks
senior manager, Data Science- Pricing (Hybrid US)
Starbucks - Seattle, Washington, us, 98127
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senior manager, Data Science- Pricing (Hybrid US)
role at
Starbucks Join to apply for the
senior manager, Data Science- Pricing (Hybrid US)
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 $163,000.00/yr - $271,800.00/yr Now Brewing – Senior Manager! #tobeapartner
Apply below after reading through all the details and supporting information regarding this job opportunity.
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 Manager at Starbucks, you will lead your team in building data products, uncovering valuable customer insights, and communicating key discoveries. Your work will drive better decision-making across the Strategic Pricing and Product domains. Additionally, you will develop strong partnerships with stakeholders to ensure alignment and success.
As a Senior Manager, data science, you will…
Translate business questions into data problems and define solutions roadmap; build analytics solutions independently and with cross-functional teams. Develop and promote analytics products and insights; establish KPIs and drive data-driven decision-making across business teams. Collaborate and establish expertise in advanced analytics; drive understanding of strategic pricing initiatives across departments.
We’d Love To Hear From People With
BA/BS w/ concentration in business or quantitative discipline - Stats, Math, Comp Sci, Engineering, Econ, or similar; Masters preferred Minimum 7 years’ experience within the field of data science or discipline Proficiency in Python or R, SQL, and relational databases Knowledge of machine learning and statistical modeling techniques including regression, decision trees, classification, causal inference, and clustering algorithms Exposure to production machine learning systems development, package creation, code repository management, and software development best practices Experience with cloud tech for data and analytics solutions (Azure, AWS) Excellent attention to detail, strong written and verbal communication skills Experience managing a team
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, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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 applicantaccommodation.Seniority level
Seniority levelNot Applicable Employment type
Employment typeFull-time Job function
Job functionInformation Technology and Engineering IndustriesManufacturing, Food and Beverage Services, and Retail Referrals increase your chances of interviewing at Starbucks by 2x Sign in to set job alerts for “Data Science Manager” roles. Bellevue, WA $253,000.00-$314,000.00 5 hours ago Manager, Applied Science (Machine Learning) Seattle, WA $205,000.00-$354,000.00 1 week ago Bellevue, WA $97,000.00-$160,000.00 4 weeks ago Applied Science Manager, Customer Behavior Analytics Seattle, WA $165,500.00-$286,000.00 2 weeks ago Engineering Manager, Machine Learning Operations Seattle, WA $240,000.00-$280,000.00 4 days ago Bellevue, WA $173,000.00-$242,000.00 2 weeks ago Seattle, WA $173,000.00-$242,000.00 2 weeks ago Seattle, WA $173,000.00-$242,000.00 2 weeks ago director, data science- Supply Chain (Hybrid- Seattle, WA) Seattle, WA $178,900.00-$311,200.00 6 days ago Bellevue, WA $173,000.00-$242,000.00 2 weeks ago Seattle, WA $165,500.00-$286,000.00 1 week ago Data Engineering Manager, Analytics (Monetization) Bellevue, WA $173,000.00-$242,000.00 2 weeks ago Manager II, Machine Learning Engineering, MonetizationManager II, Machine Learning - Ads Retrieval Seattle, WA $129,100.00-$223,100.00 1 week ago Software Engineering Manager, Machine Learning Seattle, WA $177,000.00-$251,000.00 2 weeks ago Software Engineering Manager, Machine Learning Bellevue, WA $177,000.00-$251,000.00 2 weeks ago Bellevue, WA $173,000.00-$242,000.00 2 weeks ago Seattle, WA $184,000.00-$253,000.00 1 day ago Bellevue, WA $184,000.00-$253,000.00 1 day ago Bothell, WA $100,000.00-$135,000.00 1 month ago Seattle, WA $110,000.00-$150,000.00 3 days ago Renton, WA $115,100.00-$172,700.00 2 weeks ago Seattle, WA $118,100.00-$252,700.00 1 week ago Senior Business Operations & Analytics Manager, B2B Seattle, WA $140,000.00-$176,000.00 1 week ago Seattle, WA $142,600.00-$325,800.00 1 week ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr Remote working/work at home options are available for this role.
senior manager, Data Science- Pricing (Hybrid US)
role at
Starbucks Join to apply for the
senior manager, Data Science- Pricing (Hybrid US)
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 $163,000.00/yr - $271,800.00/yr Now Brewing – Senior Manager! #tobeapartner
Apply below after reading through all the details and supporting information regarding this job opportunity.
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 Manager at Starbucks, you will lead your team in building data products, uncovering valuable customer insights, and communicating key discoveries. Your work will drive better decision-making across the Strategic Pricing and Product domains. Additionally, you will develop strong partnerships with stakeholders to ensure alignment and success.
As a Senior Manager, data science, you will…
Translate business questions into data problems and define solutions roadmap; build analytics solutions independently and with cross-functional teams. Develop and promote analytics products and insights; establish KPIs and drive data-driven decision-making across business teams. Collaborate and establish expertise in advanced analytics; drive understanding of strategic pricing initiatives across departments.
We’d Love To Hear From People With
BA/BS w/ concentration in business or quantitative discipline - Stats, Math, Comp Sci, Engineering, Econ, or similar; Masters preferred Minimum 7 years’ experience within the field of data science or discipline Proficiency in Python or R, SQL, and relational databases Knowledge of machine learning and statistical modeling techniques including regression, decision trees, classification, causal inference, and clustering algorithms Exposure to production machine learning systems development, package creation, code repository management, and software development best practices Experience with cloud tech for data and analytics solutions (Azure, AWS) Excellent attention to detail, strong written and verbal communication skills Experience managing a team
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, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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 applicantaccommodation.Seniority level
Seniority levelNot Applicable Employment type
Employment typeFull-time Job function
Job functionInformation Technology and Engineering IndustriesManufacturing, Food and Beverage Services, and Retail Referrals increase your chances of interviewing at Starbucks by 2x Sign in to set job alerts for “Data Science Manager” roles. Bellevue, WA $253,000.00-$314,000.00 5 hours ago Manager, Applied Science (Machine Learning) Seattle, WA $205,000.00-$354,000.00 1 week ago Bellevue, WA $97,000.00-$160,000.00 4 weeks ago Applied Science Manager, Customer Behavior Analytics Seattle, WA $165,500.00-$286,000.00 2 weeks ago Engineering Manager, Machine Learning Operations Seattle, WA $240,000.00-$280,000.00 4 days ago Bellevue, WA $173,000.00-$242,000.00 2 weeks ago Seattle, WA $173,000.00-$242,000.00 2 weeks ago Seattle, WA $173,000.00-$242,000.00 2 weeks ago director, data science- Supply Chain (Hybrid- Seattle, WA) Seattle, WA $178,900.00-$311,200.00 6 days ago Bellevue, WA $173,000.00-$242,000.00 2 weeks ago Seattle, WA $165,500.00-$286,000.00 1 week ago Data Engineering Manager, Analytics (Monetization) Bellevue, WA $173,000.00-$242,000.00 2 weeks ago Manager II, Machine Learning Engineering, MonetizationManager II, Machine Learning - Ads Retrieval Seattle, WA $129,100.00-$223,100.00 1 week ago Software Engineering Manager, Machine Learning Seattle, WA $177,000.00-$251,000.00 2 weeks ago Software Engineering Manager, Machine Learning Bellevue, WA $177,000.00-$251,000.00 2 weeks ago Bellevue, WA $173,000.00-$242,000.00 2 weeks ago Seattle, WA $184,000.00-$253,000.00 1 day ago Bellevue, WA $184,000.00-$253,000.00 1 day ago Bothell, WA $100,000.00-$135,000.00 1 month ago Seattle, WA $110,000.00-$150,000.00 3 days ago Renton, WA $115,100.00-$172,700.00 2 weeks ago Seattle, WA $118,100.00-$252,700.00 1 week ago Senior Business Operations & Analytics Manager, B2B Seattle, WA $140,000.00-$176,000.00 1 week ago Seattle, WA $142,600.00-$325,800.00 1 week ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr Remote working/work at home options are available for this role.