Posted:
12/23/2024, 6:23:08 AM
Location(s):
New York, United States ⋅ Boulder, Colorado, United States ⋅ New York, New York, United States ⋅ Colorado, United States
Experience Level(s):
Mid Level ⋅ Senior
Field(s):
AI & Machine Learning ⋅ Data & Analytics
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.)
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
Website: https://www.hellofresh.com/
Headquarter Location: Berlin, Berlin, Germany
Employee Count: 10001+
Year Founded: 2011
IPO Status: Public
Last Funding Type: Series G