Starbucks

Lead Manager Data Science

Starbucks

Seattle, WA, USA
Full-TimeDepends on ExperienceSenior LevelMasters
Job Description

Are you looking for a challenging and rewarding opportunity to lead a team of data scientists and help Starbucks transform the way it uses data? We are seeking an experienced Lead Manager Data Science who can bring a passion for problem-solving and a commitment to excellence to a dynamic, fast-paced environment.The ideal candidate will have a strong background in data science, a track record of successfully managing teams, and a commitment to staying on top of the latest data science trends and technologies. We are looking for someone who is comfortable working with various stakeholders, including senior-level executives, to ensure that the data science team is meeting its goals.The Lead Manager Data Science will be responsible for overseeing the day-to-day activities of the data science team, managing resources, and developing data-driven strategies to help Starbucks achieve its business objectives. The successful candidate should have a demonstrated ability to lead a team, develop analytics solutions, and effectively communicate complex technical concepts to a variety of audiences.Qualifications:- Bachelor's degree in computer science, mathematics, or a related field- 5+ years of experience in data science- 3+ years of experience leading and managing data science teams- Demonstrated experience in the development of data-driven insights and strategies- Expertise in machine learning, statistical modeling, and data visualization- Strong communication and interpersonal skills- Experience working with stakeholders, from senior executives to technical staffIf you are an experienced data science leader who wants to make an impact and help shape the future of Starbucks, we want to hear from you!

Where is this job?
This job is located at Seattle, WA, USA
Job Qualifications
  • Data Science Expertise

  • Advanced Degree In Data Science Or Related Field

  • Demonstrated Experience Leading Data Science Projects

  • Knowledge Of Machine Learning Algorithms And Techniques

  • Knowledge Of Data Visualization And Data Analytics Tools

  • Ability To Develop And Maintain Relationships With Stakeholders

  • Strong Problem-Solving And Analytical Skills

  • Ability To Communicate Complex Data Science Concepts To A Range Of Audiences

Required Skills
  • Budgeting

  • Risk Management

  • Business Analysis

  • Process Improvement

  • Strategic Planning

  • Project Management

  • Data Analysis

  • Communication

  • Leadership

  • Machine Learning

  • Data Visualization

  • Data Mining

  • Collaboration

  • Problem-Solving

  • Decision-Making

Soft Skills
  • Communication

  • Conflict Resolution

  • Leadership

  • Time management

  • Interpersonal Skills

  • creativity

  • self-motivation

  • Teamwork

  • Adaptability

  • Problem-Solving

Compensation

According to JobzMall, the average salary range for a Lead Manager Data Science in Seattle, WA, USA is $118,000 - $152,000 per year. This is based on the salary data from several sources, including Glassdoor and Indeed.

Additional Information
Starbucks is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Required LanguagesEnglish
Job PostedApril 6th, 2023
Apply BeforeMay 22nd, 2025
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About Starbucks

Starbucks Corporation is an American coffee company and coffeehouse chain. Starbucks Corp. engages in the manufacture and sale of coffee and tea. It operates through the following segments: Americas; Europe, Middle East, and Africa; China/Asia Pacific; and Channel Development. Its brand portfolio includes Starbucks Coffee, Seattle's Best Coffee, Tazo Tea, Evolution Fresh, La Boulange, and Torrefazione Italia Coffee.

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