Starbucks
Posted 3w ago

lead data scientist- Pricing, Data & Analytics (Seattle, WA)

Starbucks
Seattle, Washington, United States
$146k-$244k/yrHybridFull Time
Responsibilities
  • designing pricing
  • building models
  • mentoring talent
Requirements
  • 5+ years data science experience
  • Production model deployment
  • Machine learning and statistics
  • Python and SQL proficiency
  • Cloud analytics (Databricks/Azure)
  • Tableau
  • Mentoring and cross-functional collaboration
Technical tools mentioned
PythonSQLDatabricksAzureTableauPySpark

Job description

Now Brewing – Lead Data Scientist! #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 Lead Data Scientist on the Pricing Data Science team, you will lead the development of advanced pricing models and optimization algorithms that shape pricing decisions across US and Canada company-owned stores. You will drive the evolution of the pricing system by applying rigorous analytics, partnering with cross-functional teams, and influencing strategic workforce planning. Your work will directly impact pricing, and customer experience at scale.

As a lead data scientist, you will…


Design and Architect the Future Pricing Ecosystem

  • Build a scalable, data-driven pricing framework that optimizes revenue.
  • Incorporate predictive modeling, and ad hoc analyses into pricing framework.
     

    Drive Pricing and Revenue management data science

  • Identify pricing and promotion potential through advanced analytics.
  • Implement optimization strategies leveraging machine learning, simulation, and scenario planning.
  • Partner with strategy and finance to align pricing tools with business goals.

     


    Mentor and Develop Talent

  • Guide data scientists and senior data scientists in advanced analytics, optimization techniques, and business impact storytelling.
  • Foster a culture of innovation and continuous improvement within the analytics team. 

 


We’d love to hear from people with:

  • 5+ years of progressive experience in data science, with a proven track record of end-to-end data product and model deployment that delivers measurable business impact.
  • Strong foundation in machine learning and statistical techniques, including regression, classification, clustering, and causal inference.
  • Advanced proficiency in Python, SQL, and cloud-based analytics platforms (e.g., Databricks, Azure), with experience developing production-grade data pipelines and model outputs.
  • Excellent communication and data storytelling skills, with the ability to translate complex methodologies into clear, actionable insights through compelling visualizations and dashboards using tools like Tableau.
  • Experience building in-house production systems in complex and data-rich domains.
  • Mentoring experience

     

     


Preferred Skills:

  • 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 
  • Background with PySpark and Databricks for distributed data processing and scalable analytics in cloud environments

 

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 [email protected] or 1(888) 611-2258. 
 



Job Details

Job Posting: Jul 27, 2026

Job Posting End Date: Sep 10, 2026

Location: US-WA-Seattle-Starbucks Support Center

Workplace Expectation: In-Office, Starbucks, Business Strategy

Pay Range: $146,300-$243,900/annually

About Starbucks

Operates a global chain of coffeehouses and roastery reserves.

Similar jobs

Data Scientist roles near Seattle, Washington
1h
Save
Mark Applied
Hide
Data Scientist - Supply Chain Analytics
Seattle, Washington, United States
$135k-$140k/yr OnsiteFull Time
Tata Consultancy Services
Tata Consultancy ServicesNational Stock Exchange of India: TCS: Global provider of IT services, consulting, and business solutions.
13+ YOEBachelor's degree in computer science, 13–18 years' experience, and expertise in Python, AWS, machine learning, data engineering, analytics, NLP, GenAI, Tableau, and Azure DevOps.
AWS, Artificial Intelligence (AI), Machine Learning (ML), Tableau, Microsoft Azure DevOps, Python, Natural Language Processing (NLP), SageMaker, AWS Glue, AWS Lambda, Amazon S3, Amazon Redshift, Amazon CloudWatch, Amazon SNS, Agile
7h
Save
Mark Applied
Hide
Data Scientist, Product Analytics
San Francisco or Paris or Seattle or Madrid or London or Berlin or New York City or Sydney or Mexico City
$140k-$180k/yr HybridFull Time
Aircall
Aircall: Cloud-based customer communications and call center platform.
3+ YOE3–5 years of technical experience; SQL and Python proficiency; experiment design, data visualization, stakeholder communication, and experience with data pipelines, orchestration, and data engineering collaboration.
SQL, Python, Hex, Looker, dbt, Airflow, Apache Iceberg, PySpark
1d
Save
Mark Applied
Hide
Sr. Data Scientist, Apple Business & Education Organization
Seattle, Washington, United States
OnsiteFull Time
Apple
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Partners with product, engineering, and business teams to generate insights, measure impact, and guide strategy across business and education services.
1d
Save
Mark Applied
Hide
Data Scientist II, Amazon Fulfillment Technology (AFT) Science
Bellevue, Washington, United States
$136k-$184k/yr OnsiteFull Time
Amazon
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
3+ YOEBachelor's degree or above in a quantitative field or master's degree, plus 3+ years with SQL, Python or statistical software, machine learning, statistical modeling, large-scale data, forecasting, and analysis.
SQL, Python, Scala, R, SAS, Matlab, Perl
2d
Save
Mark Applied
Hide
Staff, Data Scientist
Bentonville or Bellevue or Sunnyvale
$110k-$220k/yr OnsiteFull Time
Walmart
WalmartNYSE: WMT: Operates a chain of hypermarkets, discount stores, and grocery stores.
5+ YOEMaster's degree and 5+ years in data science or machine learning required; alternatives include bachelor's plus 4 years, master's plus 2 years, or 6 years in analytics. Requires advanced ML, AI, statistics, and Python expertise.
Python, Pandas, NumPy, Scikit-learn, XGBoost, CatBoost, LightGBM, Random Forest, AutoML, PyTorch, BERT, SBERT, FAISS, RAG, YOLO, CLIP, ARIMA, Prophet, LangChain, Pydantic AI, AWS SageMaker, Vertex AI, BigQuery, BigQuery ML, Docker, Spark, Scala, R, TensorFlow, Microsoft Excel
2d
Save
Mark Applied
Hide
Staff, Data Scientist
Bentonville or Sunnyvale or Bellevue
$110k-$286k/yr OnsiteFull Time
Walmart
WalmartNYSE: WMT: Multinational retail operating discount stores and supermarkets.
5+ YOERequires a master's degree and 5+ years in data science or machine learning, or listed alternative qualifications. Strong Python, ML/AI, NLP, cloud platforms, statistics, and production deployment expertise required.
Python, Pandas, NumPy, Scikit-learn, XGBoost, CatBoost, LightGBM, Random Forest, AutoML, PyTorch, BERT, SBERT, FAISS, RAG, YOLO, CLIP, ARIMA, Prophet, LangChain, Pydantic AI, AWS SageMaker, GCP, Vertex AI, BigQuery, BigQuery ML, Docker, Spark, Scala, R, scikit learn, tensorflow, torch
2d
Save
Mark Applied
Hide
Data Scientist
Reston or San Diego or San Francisco or Washington or Wilmington or Phoenix or Los Angeles or Houston or Boston or Austin or Atlanta or Raleigh or Baltimore or New York or Dallas or Palo Alto or Short Hills or Minneapolis or Chicago or Seattle or Philadelphia or Miami
$113k-$179k/yr HybridFull Time
DLA Piper
DLA Piper: Global law firm providing comprehensive legal and business services.
5+ YOEBachelor's degree in a relevant quantitative or computing field, 5 years of data science experience, advanced machine learning and statistics expertise, programming and analytics tool proficiency, and strong communication skills.
Python, R, SQL, SAS, NLTK, Scikit-learn, Microsoft Excel, Tableau, Power BI, Jupyter, Hadoop, Azure
2d
Save
Mark Applied
Hide
Data Scientist
San Francisco or Los Angeles or Washington or San Diego or Seattle or London
$150k-$170k/yr HybridFull Time
CHAOS Industries
CHAOS Industries: Develops advanced radar and sensing systems for modern defense.
2+ YOEBS/MS in a technical field, 2+ years software development, strong Python, production systems, AI/ML integration, model evaluation, APIs, distributed systems, containers, CI/CD, and observability.
Python, APIs, CI/CD, GPU