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Principal Data Scientist, Marketing Measurement & Attribution

HelloFresh

Principal Data Scientist, Marketing Measurement & Attribution

New York, NY +1 location
Full Time
Paid
  • Responsibilities

    Job Description

    COME SEE WHAT'S COOKIN' AT HELLOFRESH!

    At HelloFresh, we want to revolutionize the way we eat by making it more convenient and exciting to cook meals from scratch. We have offices all over the world and we deliver delicious meals to millions of people.  

    We are the industry leader in meal-kit subscription services and we're growing all the time. We have distinct meal-kit services that cater to everyone with the most menu variety in the market, which allows us to reach an incredibly wide population of people. 

    The HelloFresh team is diverse, high-performing, and international, and our work environment is an inspiring space where you can thrive as a result.

    JOB DESCRIPTION:

    As a Principal Data Scientist at HelloFresh, you will support the acquisition and retention strategy of one of the fastest-growing e-commerce businesses in the US. Data-driven decision making is at the core of our company culture and you will have a fundamental part in shaping our success extracting insights from terabyte-scale databases. 

    YOU WILL ...  

    • Lead the relationship with key stakeholders on the Growth Marketing team. Provide strategic guidance on budget allocation, forecasting and testing.
    • Design and Maintain Statistical and Machine Learning Models in order to drive the company's Marketing Decisions. 
    • Lead our forecasting and spend optimization practices by installing data-driven processes on an ongoing basis and for the company's budget cycles
    • Explore and analyse customer behavior and digital metrics  in order to detect growth opportunities for the HelloFresh product.

    YOU ARE ...

    • Highly skilled Data Scientist with true subject matter expertise in the space
    • An active, solution-oriented member of autonomous, cross-functional agile teams collaborating with Product Owners, Data Scientists, and Business Intelligence teams
    • Able to develop an in-depth understanding of HelloFresh's core product and architecture, and act as a thought leader for state of the art testing methods and industry best practices.

    AT A MINIMUM, YOU HAVE ...

    • Phd / MSc in a scientific discipline with a strong focus on experimentation and causal inference (e.g., Econometrics, Epidemiology / Biostatistics, Neuroscience, Statistics, Political Science, Psychology, Physics)
    • 8+ years' experience building Machine Learning / Statistical Models for Marketing
    • Solid grasp of advanced statistical concepts (e.g., Bayesian statistics; multilevel and generalized linear models; timeseries; bootstrapping). Experience using PyMC3 or any other Bayesian Modeling framework is a strong plus.
    • Ability to perform data analysis in Python (required); proficiency using SQL (required). 
    • Experience with Media Mix Optimization, and attribution models
    • Strong understanding of digital metrics and web tracking.
    • Understanding of data visualization best practices, proficient with BI Platforms (Tableau preferred).
    • Strong analytical and problem-solving skills.
    • Ability to communicate complex analyses to both technical and non-technical stakeholders, including senior leadership

    YOU'LL GET …

    • Competitive Salary & 401k company match that vests immediately upon participation
    • Generous parental leave of 16 weeks & PTO policy
    • $0 monthly premium and other flexible health plans effective first day of employment
    • 75% discount on your subscription to HelloFresh (as well as other product initiatives)   
    • Snacks, cold brew on tap & monthly catered lunches
    • Company sponsored outings & Employee Resource Groups
    • Collaborative, dynamic work environment within a fast-paced, mission-driven company

      

     

    It is the policy of HelloFresh not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or because they are a protected veteran.

  • Locations
    Boulder, CO • New York, NY