senior data scientist - Data & Analytics (Seattle, WA) at Starbucks

Seattle, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

23 Jan, 26

Salary

0.0

Posted On

25 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Cleaning, Data Aggregation, Project Planning, Predictive Modeling, Statistical Modeling, Machine Learning, SQL, ETL, Python, R, Spark, Databricks, Collaboration, Communication, Forecasting, Optimization Techniques

Industry

Retail

Description

Build scalable processes for cleaning, aggregating, and loading data. Contribute to project planning, and assist the team with estimations, timelines, and prioritization. Assists in developing the analytical roadmap, data, and technology strategy. 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. 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 predictive and statistical modeling, 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 Java, PySpark, or Scala Strong collaboration instincts - desire & ability to work with partners to achieve the best outcome for the business. Excellent communication, presentation, and storytelling skills. The role requires effective communication with colleagues, stakeholders, and leaders from diverse backgrounds. 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. Familiarity with Customer Identity Resolution Experience with Brand Monitoring Experience building forecasting models for time series or operational planning Background in optimization techniques such as linear programming, mixed-integer programming, or heuristic algorithms for decision support Deep understanding of machine learning and statistical techniques, such as regression, classification, decision trees, clustering, and causal inference, with practical experience applying them to real-world problems

Responsibilities

Build scalable processes for cleaning, aggregating, and loading data. Contribute to project planning and assist the team with estimations, timelines, and prioritization.