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Data Scientist, Econometrician

Starbucks

Starbucks

Data Scientist, Econometrician

Seattle, WA
Full Time
Paid
  • Responsibilities

    DATA SCIENTIST- ECONOMETRICIAN

    We are looking for an econometrician to help us understand pricing and portfolio strategy at Starbucks.  Additionally, we want to understand how our customers value our product, brand, and experience. Questions might include: What is the optimal balance between menu pricing and discount strategy? What are the business tradeoffs across all our delivery channels? How does our current marketing strategy influence our ability to price products? What are the factors that influence elasticity of demand? How should stores be grouped when applying pricing actions? What would a personalized pricing strategy look like from a business and customer perspective? Are there additional revenue drivers that we should be thinking about? What does an optimized product portfolio look like? Etc.

     

    SUMMARY OF KEY RESPONSIBILITIES

    • Extract, cleanse, and analyze data from Azure: data lake storage (ADLS), SQL Server, PostgreSQL, and Oracle
    • Apply basic econometric concepts and descriptive statistics to understand and describe relationships in data
    • Under guidance of Lead Economist build predictive models and complex descriptive analytics, clustering, and market-based analysis
    • Participate in discussions with business partners to define business questions
    • Contribute to analytic project proposals
    • Evangelize value of analytics and data among peers
    • Assist in developing theoretical framework for optimization work across pricing and portfolio management
    • Assist in current gen model and tool maintenance as well as incremental upgrades
  • Related Article
  • Qualifications

    WE’D LOVE TO HEAR FROM PEOPLE WITH:

    _ _

    • MS in Economics, Statistics, Finance, or related field

    • 2-5 years of relevant work experience in econometric modeling and analysis

    • Ability to build econometric tools that can be applied in automated systems in collaboration with engineers

    • Experience articulating business questions and using quantitative techniques to arrive at a solution using available data

    • Experience with R or Python in a production environment

    • Effective verbal and written communications skills

     

    PREFERRED QUALIFICATIONS:

    -PhD in Economics, Statistics, Finance, or related field

    -Strong background in econometrics (specifically causal inference using panel data)

    -Expert in the management, manipulation, and analysis of very large datasets

    -Expert in predictive and causal ML methods

    -Experience with various statistical methods (frequentist, Bayesian, etc.

    -Expert in data querying languages (e.g. SQL) and scripting languages (e.g. Python)

    -Proven ability to work in a fast-paced business environment 

  • Industry
    Food and Beverages
  • Fun Fact
    Starbucks proudly hires veterans, opportunity youth, and invest in education. Lots of opportunities to grow with Starbucks, from a barista to a manager!
  • About Us

    Starbucks is about more than just a coffee; they're dedicated to employee and community growth. Starbucks even runs a program that pays for their baristas tuition to help them finish their education. That’s why when you launch your career inspired by human connection and the opportunity to become your personal best, the possibilities are endless. SCAP - Starbucks College Achievement Program