Senior Decision Scientist

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.

This job contributes to Starbucks success by guiding business decisions through data & visualizations that deliver stakeholder outcomes. Our goal is to translate research into usable data products & self-service tools that democratizes data across the entire Starbucks enterprise. You will be an expert in the application of research/statistics and democratizing data that supports Starbucks Global lines of business.

As a Starbucks Decision Scientist Sr, you will be focused on embedding analytics into business units to empower data driven decision making, ultimately helping us make decisions better. Proficient in communication, data presentation, and data engineering. Ability to build or maintain analytics solutions (from the ETL to data visualization) required. Models and acts in accordance with Starbucks guiding principles.

Summary of Key Responsibilities
As a Decision Scientist Sr, you will…

• Enterprise Focus: Can take multiple projects, data domains (e.g. HR, marketing, customer), and dashboards and combine them into a coherent and enterprise focused visualization. The goal is to be able to combine, and up-level metrics and visualizations in a way that tells a story such that the whole is greater than the sum of it’s parts.
• Data Visualization: Can create beautiful, easily understood visuals that tell a story and have an enterprise focus. Possesses a strong visualization acumen and the ability to produce relevant, standard, or custom information (reports, charts, graphs and tables) from structured data sources.
• DMB (decisions made better): Help us make decisions better, by democratizing business focused data driven decision making tools: dashboards and data products.
• Democratize the power of data science: On the data visualization team we work with data and decision scientists with the goal of democratizing model-based information to decision makers. Models can be complex and sometimes difficult to know how to action on, however they are often times the most powerful ways to make decisions as they can predict future outcomes. The goal of this position is to simplify the assumptions and make this data readily available to decision makers.
• Data Obsessed: understand complex areas of the Starbucks business (retail, HR, customer) and work with stakeholders to determine the most impactful KPIs and data visualizations.
• Self Service: Augmented analytics, acceleration tools, and cube technologies will all be future tools we work with. A desire to learn more about new technologies in this space is a must.
• Statistical Rigor: Applies basic statistical concepts and descriptive statistics to understand and describe relationships in data

We’d love to hear from people with:

• Data Visualization: 3-5 years experience with PowerBI, Tableau and/or D3.
• Data Preparation: 3-5 years experience working with SQL and cloud-based technologies (Azure, Databricks) to consolidate and summarize data, automate and build sustainable data pipelines, and has an eye for detail in QC and UAT.
• Programming Experience: 2-5 years in SQL, and R or Python
• Statistics/Modeling: Exposure and business-applicable experience in modeling & applying statistical techniques (e.g. regression, t-tests, forecasting, anomaly detection)
• Education: MS preferred with concentration in quantitative discipline - Statistics, Math, Comp Science, Engineering, Econ, Quantitative Social Science or similar discipline