decision scientist, Sourcing Operations (Nashville, TN)

Starbucks•Nashville, TN

17h•Onsite

About The Position

As a Decision Scientist, you will be responsible and accountable to deliver data driven insights that drive tangible business outcomes. Partnering with different stakeholders including Sourcing, Finance, Marketing, Operations, Strategy and Technology teams, you will be providing solutions and answers to critical and high impact business problems.

Requirements

Execute extraction and synthesis of data, extract data from various databases, including Azure: data lake storage, SQL server and legacy systems: Oracle; perform exploratory data analysis, cleanse, massage, and aggregate data.
Process 1st 2nd, and 3rd party data in next generation privacy compliant infrastructure.
Assess and produce relevant, standard, or custom information (reports, charts, graphs and tables) from structured data sources by querying data repositories and generating the associated information.
Familiar with common communication and data presentation and storytelling skills.
Ability to procure and manipulate large-scale, complex data from a variety of systems (AWS, Azure, Oracle, on prem, web tool, etc.), experience reshaping data to ensure it is in right structure for analysis, filtering and removal of outliers.
Demonstrated experience with cloud tech for data and analytics solutions(Azure, AWS).
Applicable business experience and the ability to handle and maintain the confidentiality of highly sensitive information required for statistical analysis and modeling techniques, including descriptive and predictive analysis (models, for example regression, cluster, factor, survival, drivers, anomaly detection, etc.), dashboard building, with proficiency in Excel, SQL, SAS, R, Python, Tableau / PowerBI, and experimental design platforms.
Uses data methodologies and skills in accordance with business applicability and insights operationalization.
Has working knowledge and understanding of Starbucks business, and business acumen in general.
Requires mentoring and guidance, but over time can make more of the connection between data and business applicability.
Effectively presents complex technical material to non-technical audiences in an approachable way.
Provide analytic support (code documentation, data transformations, algorithms, etc.) to implement rules and model insights and recommendations into business processes.
Outstanding collaboration skills with colleagues at all organizational levels; understands decision sciences and advanced analytics, and how to evangelize the craft.

Nice To Haves

Very curious: love problem solving and asking why
Always learning and seeking out new benchmark, industry trends instead of relying on the norm
knowledgeable and understanding of Starbucks, Licensing and franchising business, food and beverage industry and general business and financial acumen.
Flexible and know when a simple heuristic beats a complex model
Pragmatic and understanding that data and models inform but do not dictate every decision
Have a BA/BS concentration in Business, Stats, Math, Comp Sci, Engineering, Economics.
Demonstrated experience with data visualization tools (e.g., Tableau, Power BI) and Microsoft Office
Proficient with SQL, SAS, Python or R
Knowledgeable in statistics (descriptive, regression, etc.)

Responsibilities

Partner with business stakeholders to identify and clarify core problems and questions of interest through data driven insights
Use quantitative decision models and analytical methods to derive answers and recommendations
Design experiments to validate business decisions and measure impact
Develop dashboards, visualizations and reports to communicate insights to non-technical stakeholders
Work cross functionally with data engineers to ensure data pipelines are integrated and robust

Benefits

medical, dental, vision, basic and supplemental life insurance, and other voluntary insurance benefits.
short-term and long-term disability
paid parental leave
family expansion reimbursement
paid vacation from date of hire
sick time (accrued at 1 hour for every 25 hours worked)
eight paid holidays
two personal days per year.
401(k) retirement plan with employer match
discounted company stock program (S.I.P.)
Starbucks equity program (Bean Stock)
incentivized emergency savings
financial well-being tools.
100%25 upfront tuition coverage for a first-time bachelor’s degree through Arizona State University’s online program via the Starbucks College Achievement Plan
student loan management resources
access to other educational opportunities.
backup care
DACA reimbursement.