Senior Director of Data Science

Full time

Employment Information

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At HelloFresh, we want to change the way people eat forever by offering our customers high-quality food and recipes for different meal occasions. Over the past 10 years, we’ve seen this mission spread around the world and beyond our wildest dreams. Now, we are a global food solutions group and the world’s leading meal kit company, active in 18 countries across 3 continents. So, how did we do it? Our weekly boxes full of exciting recipes and fresh ingredients have blossomed into a community of customers looking for delicious, healthy, and sustainable options. The HelloFresh Group now includes our core brand, HelloFresh, as well as: Green Chef, EveryPlate, Chefs Plate, Factor_, and Youfoodz.

The role

We are hiring a Senior Director of Data Science to step-change our use of ML and AI in the way we optimize a multi-billion dollar marketing budget. As a Senior Leader in the team, you will act across multiple functions and stakeholders to design, develop and implement advanced solutions with measurable business impact. You will have the opportunity to work on challenging data-related problems and to have a great impact on the organization. You will also create mechanisms to accelerate the use of Machine Learning and AI across the organization, multiplying your impact.

What you’ll do

  • Design, develop and deliver on an ambitious roadmap of data-driven marketing analytics solutions with measurable business impact.
  • Identify innovation opportunities of where we can use AI and Machine Learning to step-change the trajectory of our marketing investments
  • Define standard working methods and processes for data scientists and have them implemented in all the data teams.
  • Influence the development of new data science platforms, guarantying best in class productization of science
  • Coach and mentor some team members who are on a fast growth trajectory or who need extra support.
  • Actively participate to the hiring of data scientist to ensure consistent standards of expertise
  • Create a community for data scientists across the North America team, with the objective to enable knowledge sharing, high performance and development.

What you’ll bring

  • Degree (Ph.D., MSc) in a quantitative field such as Statistics, Mathematics, Operations Research, Econometrics, Computer Science, or Engineering
  • 12+ years proven track record building Machine Learning / Statistical Models within e-commerce digital businesses.
  • 8+ years of experience managing and developing a team of data scientists and machine learning engineers. Proven experience hiring and onboarding new team members.
  • Proven track record writing production-grade ML applications in Python. Proficient using SQL.
  • Proficient in CI / CD and DevOps practices on AWS.
  • Deep understanding of advanced ML concepts (e.g. Deep Learning, Bayesian statistics). Experience using PyMC3 and Databricks is a plus. Experience with production-ready systems for Machine Learning (e.g. Feature Storage).
  • Experience with agile methodologies like Scrum & Kanban and proficiency in using project management tools. Jira preferred.

What we offer

  • 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)
  • Yearly Learning and Development budget
  • 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

Position is eligible to participate, contingent on Supervisory Board Approval, in HelloFresh’s equity program.

Are you up for the challenge?

Please submit your complete application below including your salary expectations and earliest starting date. After submitting an application our team will review this and get back to you within 5 business days. For insight into our interview process take a look at our recent post here.


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