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    senior data scientist, Enterprise Forecasting - Seattle, United States - Star Bucks Coffee

    Star Bucks Coffee
    Star Bucks Coffee Seattle, United States

    3 weeks ago

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    Description
    Job Description - senior data scientist, Enterprise Forecasting
    senior data scientist, Enterprise Forecasting

    (


    Job Number:
    )
    Job Posting

    Job Posting

    May 3, 2024

    Job Posting End Date

    Jun 3, 2024
    Location

    Location

    US-WA-Seattle-Starbucks Support Center
    Is this role eligible for remote or hybrid work?

    Yes-Hybrid
    Starbucks

    Business Strategy
    Pay Range

    $135,300-$211,600/ annually
    From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and its 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 Data Scientist, you will support enterprise forecasting team at Starbucks, focused on develop and enhance forecast foundational capabilities and business use cases.

    In this role, you will contribute to and lead strategic initiatives to optimize Starbucks' enterprise forecasting portfolio.

    You will use your background in statistics, Machine learning and data science to help build tools and data products that support enterprise forecasting team and our business.

    You will be confident in communicating with all levels of business partners.

    You will collaborate cross-functionally with data engineers, data scientists, and business experts to help Starbucks make better decisions by using data and analytics skills.

    As a senior data scientist, you will...

    Lead the design, development and enhancement of scalable data science solutions from the start to the finish by utilizing time-series modeling, machine learning, and statistical analysis.

    Build scalable processes for cleaning, aggregating, and loading data.

    Understanding business initiatives, challenges, questions, concerns, or ideas, transforming them into successful data science solutions, and monitor data science metrics and KPIs .

    Mentor data analysts & data scientists on best practices, processes, frameworks, and KPIs.
    Contribute to project planning, and assist the team with estimations, timelines, and prioritization. Assists in developing the analytical roadmap, data, and technology strategy.

    We'd love to hear from people with:

    Education:

    BS+ with a concentration in a quantitative discipline - Stats, Math, Comp Sci, Engineering, Econ, Quantitative Social Science or similar discipline.

    Masters preferred.
    Minimum of 5+ years of industry experience in data and analytics work.
    Strong problem-solving skills with the ability to influence leadership teams at different levels.

    Significant experience working with time-series analysis, predictive and statistical modeling, inferential Bayesian statistics, causality analysis, machine learning, and strong expertise in all phases of the modeling pipeline.

    Strong SQL, databases, and ETL / ELT skills required including cleaning and managing data.
    Advanced competency and expertise in Python, R, or some combination.
    Experience working with distributed data processing frameworks such as Spark and Databricks, and languages such as PySpark or Scala.
    Experience working with Dev Ops and/or ML Ops, and object-oriented coding.
    Excellent collaboration, communication, presentation, and storytelling skills.
    Proven ability to manage multiple, time-sensitive projects and competing priorities. simultaneously to drive projects to completion with minimal guidance and high attention to details.
    Let us give you the opportunity to be part of something bigger than yourself. It's time for you to #beapartner. Apply today

    All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, physical or mental disability, sexual orientation, marital status, military or veteran status, gender identity and expression, genetic information, or any other factor protected by law.

    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

    .
    Starbucks is an equal employment opportunity employer of all qualified individuals.

    Starbucks does not discriminate on the basis of race, color, religion or religious creed, national origin or place of origin, sex (including pregnancy, childbirth, breastfeeding or related medical conditions), physical or mental disability, age, protected military or veteran status, sexual orientation, gender identity, gender expression, transgender status, genetic information, legally protected medical condition, marital or domestic partner status, status as a victim of domestic violence (including sexual assault or stalking), or any other basis protected by applicable law.

    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

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