Staff Data Scientist - Conversions

HelloFresh • Germany
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AI Summary

Join HelloFresh as a Staff Data Scientist in Conversions to empower meal brands with advanced MarTech capabilities and product innovation. Lead complex feature engineering and optimization efforts, designing data foundations and analytical approaches for personalized experiences. Drive strategic growth and improve user experiences across markets.

Key Highlights
Empower meal brands with advanced MarTech capabilities
Lead complex feature engineering and optimization efforts
Design data foundations and analytical approaches for personalized experiences
Technical Skills Required
Machine learning Regression Classification Recommendation systems Clustering Natural language processing Multi-armed contextual bandit algorithms Python PostgreSQL Kubernetes
Benefits & Perks
Competitive compensation package
HelloFresh-subsidized Pension Scheme
Berlin relocation support
Hybrid working model
Exclusive discounts on HelloFresh box and office meals
German language learning budget
Access to HelloFresh Academy
Mental health support
Transportation perks
Working-parent-friendly benefits

Job Description


The role

Conversions Tech empowers our meal brands to achieve ambitious growth targets through a seamless and high-performing conversion funnel. As part of the Growth Alliance, we drive the next chapter of growth for HelloFresh by powering marketing with advanced MarTech capabilities and product innovation. We focus on (re) acquisition, conversion optimization, and data-driven growth strategies.

As a Staff Data Scientist in Conversions, you will be at the heart of shaping the intelligence that drives customized user journeys across our funnels. You will lead complex feature engineering and optimization efforts, designing the data foundations and analytical approaches that power our state-of-the-art decisioning platform for personalized experiences.

Your work will enable this automated engine to determine the right journey, for the right user, at the right time, based on intent, channel, and campaign context. You will operate at a strategic level, influencing how personalization is designed, evaluated, and scaled across teams. This is a high-impact role with direct responsibility for advancing our data strategy and improving how millions of users experience HelloFresh across markets.

What You'll Do

Decisioning, Modeling & Strategy

  • Own and evolve the data and modeling strategy behind customized journeys and funnel decisioning
  • Lead complex feature engineering initiatives that improve decision quality, robustness, and scalability
  • Design, implement, and evaluate machine learning approaches for large-scale personalization and routing decisions
  • Define standards for model validation, monitoring, and experimentation to ensure long-term reliability and impact

Cross-Functional Leadership

  • Act as a strategic partner to Product, Engineering, and Marketing, shaping how decisioning capabilities are embedded into our conversions funnels and experiences
  • Drive alignment across teams on how personalization is measured, iterated, and scaled
  • Influence roadmap and prioritization decisions by framing problems in terms of data, impact, and trade-offs
  • Contribute to build vs buy decisions related to data science tooling, platforms, and external solutions

Platform & Enablement

  • Help define and evolve shared decisioning frameworks and data products used across Conversions and adjacent domains
  • Ensure analytical solutions are production-ready, observable, and easy to iterate on
  • Mentor and guide other data scientists, setting a high bar for analytical rigor, ownership, and impact

AI & Automation

  • Partner with engineering teams to bring these capabilities safely into production environments
  • Explore how AI and automation can improve decisioning quality, experimentation velocity, and iteration speed

What You’ll Bring

  • A minimum of 10 years of professional experience with a Master's degree, or a minimum of 5 years of professional experience with a Ph.D. degree, in a quantitative field.
  • Demonstrated expertise in data science, with a strong emphasis on personalization and marketing communications.
  • Deep understanding of machine learning principles and techniques relevant to send personalization and content creation including regression, classification, recommendation systems, clustering, natural language processing, and multi-armed / contextual bandit algorithms.
  • Proven ability to solve complex optimization problems that involve a large number of dimensions and optimization targets.
  • Proven ability to design and interpret A/B tests and quasi-experiments with synthetic controls to validate hypotheses related to the personalized communication strategy stream.
  • Exceptional communication and collaboration capabilities.
  • Experience with customer behavior analysis, segmentation, and identifying high-value actions to drive customer lifetime value.
  • Experience in leveraging Generative AI (GenAI) models (e.g., LLMs) for content generation, including prompt engineering, model evaluation, and fine-tuning to create engaging and personalized customer communications.

What We Offer

Elevate your lifestyle! Join one of Europe's fastest-growing tech powerhouses in a dynamic phase of expansion.

  • Immerse yourself in a diverse global community of 90+ nationalities.
  • Enjoy a competitive compensation package that goes beyond the norm, with perks like a HelloFresh- subsidized Pension Scheme, Berlin relocation support, and a Hybrid working model.
  • Elevate your lifestyle with exclusive discounts on your weekly HelloFresh box and office meals.
  • Invest in your growth with a German language learning budget, and access to the HelloFresh Academy.
  • Plus, we've got your well-being covered with mental health support, transportation perks, and working-parent-friendly benefits. From our 24/7 gym access, wellbeing platforms like Headspace and Spill, to sabbatical leave options, HelloFresh is not just a workplace; it's a lifestyle of perks and possibilities!

Are you up for the challenge?

Please submit your complete application below including your salary expectations and earliest starting date.

#Data

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