Job type full-time
Full job description
: jul 14, 2022
Job posting end date
: aug 13, 2022
: us-wa-seattle-starbucks support center is this role eligible for remote or hybrid work? : yes-remote starbucks - data analytics
Now brewing – decision scientist! #tobeapartner
From the beginning, starbucks set out to be a different kind of companyOne that not only
Celebrated coffee and the rich tradition, but that also brought a feeling of connectionWe are known for developing extraordinary leaders who share this passion and are guided by their service to others.
As a decision scientist on the data, analytics, insights, and business operations team, you will work cross-functionally with data engineers, data scientists, business experts, and external vendors to help starbucks make decisions better by using data and analyticsYou will leverage statistical analysis, data visualization, and storytelling to help us identify opportunitiesYou will consult with cross-functional business teams, collaborate closely with technology teams, and identify ways to improve existing processes or analytical approachesYou will quickly become an expert in one of our key business and data domains (supply chain, people analytics, marketing, or store) and work cross functionally in an analytics center of excellence to improve existing processes or analytical approaches
As a decision scientist, you will…
Extract and transform data from multiple sources in preparation for exploratory data analysis, modeling, and reporting.
Determines analytics approach to solve business problems
Transform model outputs into formats that are digestible to the end users through visualization, clear tables, and/or thoughtful presentationsAssist technical and non-technical end users in how to leverage and interpret the analysis.
We’d love to hear from people with:
Education: bs+ with concentration in quantitative discipline - stats, math, comp sci, engineering, econ, quantitative social science, or similar discipline
Minimum of 3+ years industry experience in data or decision science
Strong background working with predictive and statistical modeling, machine learning and strong expertise in all phases of the modeling pipeline
Experience building complex data sets from multiple data sources, both internally and externally.
Strong sql, database and etl skills required including cleaning and managing data.
Advanced competency and expertise in python, r or some combination
Ability to apply knowledge of multidisciplinary business principles and practices to achieve successful outcomes in cross-functional projects and activities
Ability to educate others on statistical / machine learning methods
Self-starter, attention to details and results orientated, able to work under minimal guidance.
Proficient in communicating effectively with both technical and nontechnical stakeholders.
Experience on cloud platforms such as azure, aws, preferred
Join us and be part of something biggerApply today!
Posted 30+ days ago