Data Scientist - Global AI.

Come see whats cookin at HelloFresh!

At HelloFresh, we want to revolutionize the way we eat by making it more convenient & exciting to cook meals from scratch.

We have offices all over the world & we deliver delicious meals to millions of people. We are the industry leader in meal-kit subscription services & were 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, & international, & our work environment is an inspiring space where you can thrive as a result.

We are building our Customer Value Forecasting squad inside the Global AI department to develop better Marketing & Product facing machine learning products faster.

The Global AI team works cross-functionally to identify opportunities to build & deploy advanced ML solutions throughout the organization & works closely with Data Scientists, ML engineers, & Data Engineers to build & maintain best-in-class data products to improve HelloFreshs user experience.

You will...

• Maintain relationships with key stakeholders on the Growth Marketing, Finance & Operations, & Product teams.
• Be embedded in a team with Machine Learning Engineers, Data Engineers, & Analysts to build valuable machine learning-driven products.
• Design & Maintain Statistical & Machine Learning Models in order to drive strategic guidance on budget allocation, forecasting & capacity planning.
• Formalize hypotheses about how forecasts are expected to evolve, identify any outliers, develop methods to deal with outliers
• Derive key insights & influence stakeholders on strategy & planning
• Develop scalable solutions for forecasting & work closely with Data & Machine Learning Engineering to put them into practice.
• Explore & analyze data sources & processes to identify opportunities to improve our forecasting practices.

At a minimum, you have...

• Bachelors degree in data science, computer science, statistics, engineering or a related field
• Experience in building & validating machine learning models including gradient boosted trees, generalized linear regression, & time series.
• Strong mathematical & statistical understanding of machine learning techniques & their uncertainty analysis.
• Ability to perform data analysis in Python; proficiency using SQL.
• Ability to communicate complex analyses to both technical & non-technical stakeholders.
• Ability to pick up new technologies & modelling methodologies quickly while solving actual business problems.
• Interest in working with modern data science tooling such as cloud development, version control, CI / CD, Docker, model registries & a feature store.

Youll get

• Competitive Salary & 401k company match that vests immediately upon participation
• Generous parental leave of 16 weeks & PTO policy
• $0 monthly premium & 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

New York Pay Range