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.

As a Product Data Scientist within the Global AI department, your work will be pivotal in enabling our team and our stakeholders to understand how our models are behaving over time as market conditions change.  The Global AI team works cross-functionally to identify opportunities to build and deploy advanced ML solutions throughout the organization and works closely with Data Scientists, ML engineers, and Data Engineers to build and maintain best-in-class data products to improve HelloFresh’s user experience. The Global AI team is focused on designing scalable and automated data products using a variety of AI, big data tools, and cloud platforms (AWS, Spark, Prefect, Databricks, etc.)

You will…

  • Actively contribute as a solution-oriented member within autonomous, cross-functional agile teams, collaborating with product owners, data engineers, machine learning engineers, data scientists, and business intelligence teams.
  • Take ownership over monitoring experiments, lead exploratory deep dive analysis into model performance, build dashboards to automate reporting for stakeholders.
  • Demonstrate an understanding of econometrics, customer price elasticity, and causal inference to form and test hypotheses.
  • Work closely with marketing stakeholders to understand their analytics needs and prescribe solutions.
  • Develop an in-depth understanding of HelloFresh’s pricing model and how customers respond to price and discount changes.
  • Work with state-of-the-art technologies like Databricks, Tecton, Prefect, Tableau, Statsig, and more.

You are…

  • Excited to apply your knowledge of human decision making to optimize our pricing and discount strategy.
  • Able to tell stories with data analysis and visualizations.
  • Passionate about data and machine learning with a strong desire to learn new technologies.
  • An experienced data scientist/analyst with the ability to interact with a data lake and perform data analysis using Python/PySpark/SQL.

You have…

  • Master’s degree or PhD in Economics, Statistics or related field desired.
  • 2+ years of experience in data science/analytics with a proven track record of complex data science projects.
  • Competent in Python/PySpark.
  • Expertise in data analysis and visualization tools, such as Pandas, R, Seaborn, Plotly, Tableau, or Streamlit.
  • Experience with quantitative research, causal inference, econometrics, customer price elasticity, A/B testing.

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.

This job description is intended to provide a general overview of the responsibilities. However, the Company reserves the right to adjust, modify, or reassign work tasks and responsibilities as needed to meet changing business needs, operational requirements, or other factors.

Application Deadline: October 27,2024

New York Pay Range$120,000$180,000 USDColorado Pay Range$110,000$160,000 USD

Salary

$110,000 - $180,000

Yearly based

Location

Boulder, Colorado New York, New York

Job Overview
Job Posted:
1 day ago
Job Expires:
Job Type
Full Time

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