S

Starbucks

Runs coffeehouses and licenses its coffee brand

Senior Data Scientist - Supply Chain Data Science

Data ScienceConfirmed live in the last 24 hours
Full-timeSeattle, WA, USANo salary listedIn-person

About the Job

Requirements

  • At least 4 years of professional experience in data science, machine learning, applied analytics, or a closely related field.
  • A BA/BS or advanced degree in computer science, data science, statistics, mathematics, engineering, or another quantitative field, or equivalent practical experience.
  • Strong proficiency in Python and SQL.
  • Demonstrated experience developing production-level Python code and converting data science prototypes into reliable, maintainable production solutions.
  • Strong understanding of software engineering practices, including modular code design, testing, debugging, version control, documentation, and code review.
  • Experience working with large and complex datasets and developing scalable data-processing solutions.

Responsibilities

  • Design, develop, validate, and implement statistical and machine learning models that support supply chain decision-making.
  • Analyze complex supply chain data and translate findings into clear, actionable recommendations.
  • Design, build, and own reliable, scalable data and model pipelines that integrate data science solutions into business and operational workflows.
  • Apply software engineering practices, including version control, code review, testing, documentation, and reproducibility.
  • Communicate technical approaches, assumptions, results, limitations, and recommendations to technical and non-technical stakeholders.
  • Independently lead complex data science projects, manage technical dependencies and risks, and drive work from problem definition through production delivery.
  • Mentor and support other data scientists through technical guidance and code reviews.

Desired Qualifications

  • A MS or PhD in computer science, data science, statistics, operations research, engineering, mathematics, or a related quantitative discipline.
  • Experience developing data science solutions in a supply chain, forecasting, inventory, replenishment, or planning environment.
  • Experience with Spark or other distributed data-processing technologies.
  • Experience with modern cloud-based data and machine learning platforms, such as Databricks.
  • Experience with CI/CD practices for data science or machine learning solutions.
  • Experience monitoring production solutions and improving their reliability and performance over time.
  • Demonstrated ability to mentor other data scientists and raise engineering and coding standards within a data science team.

About the Company

Starbucks

Runs coffeehouses and licenses its coffee brand

Starbucks runs coffeehouses around the world that serve espresso drinks, brewed coffee, tea, and food, and it roasts the arabica coffee its stores sell. It grew from a single Seattle shop selling beans into the world's largest coffeehouse chain, and it helped make Italian-style espresso drinks such as lattes an everyday habit in the United States. Customers order at the counter, at drive-throughs, or ahead through the Starbucks app, whose rewards program trades points for free drinks and food. The company earns money from cafés it operates itself and from fees paid by licensed stores in places such as airports and grocery stores. Starbucks was founded in 1971 and is based in Seattle.

Company size
10,001+
Company stage
IPO
Headquarters
Seattle, WA
Founded
1971

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