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Senior Director, Data Science (all genders)

HelloFresh

Senior Director, Data Science (all genders)

full-timePosted: Dec 12, 2025

Job Description

About the role: What's in the Box

As a Senior Director of Data Science, you will lead a multidisciplinary organization of data scientists, data engineers and analysts who partner deeply with product and engineering teams to drive measurable business impact. Your mission is to elevate how data, experimentation, and machine learning power our products and decisions - focusing on all aspects of personalization and search for the consumer product organization.

What you’ll do: The Recipe

  • Define the Strategy: Set and execute the holistic data science and data engineering strategy, aligning model innovation with consumer product objectives and company goals, specifically focusing on all aspects of personalization and search.
  • Lead the Organization: Build and lead a multidisciplinary organization (Data Engineering, Product Analytics, Data Scientists/ML Engineers).
  • Drive Personalization: Define and execute the strategy for smart personalization, including ranking, recommendations, and behavioral analysis to maximize customer-facing impact and order rate for both subscribers and non-subscribers.
  • Ensure Productionization: Oversee the design, development, and deployment of ML models, pipelines, and data products, ensuring the team moves models from development to reliable, scalable production with strong ML Ops and feedback loops.
  • Champion the Culture: Embed a data-first and experimentation-driven culture across product teams, supporting discovery and decision-making with causal inference, advanced analytics, and ensuring data quality and governance.
  • Lead Cross-Functionally: Act as a credible voice with executive stakeholders, clearly communicating the impact of data initiatives and ensuring KPI alignment with business outcomes, not just model performance.

What you’ll bring: The Ingredients

  • 10+ years of experience in Data Science or ML, with 5+ years in leadership roles.
  • Proven success leading multidisciplinary teams (data science, data engineering, ML).
  • Good understanding of modern data architectures, cloud-based ML platforms, and experimentation systems.
  • Experience integrating data science into product engineering organizations (e.g., through embedded roles or hybrid models).
  • Excellent stakeholder management and ability to influence senior product and business leaders.
  • Track record of delivering production-grade ML models and measurable product impact.
  • Familiarity with GenAI applications and LLM-based product features.

Nice to Have:

  • Experience in e-commerce, marketplaces, or consumer tech environments.
  • Background in both data science research and engineering best practices (CI/CD for data, data observability, etc.).

Above all, we are looking for people who will make HelloFresh better. There are many different ways of developing skills, and we love diverse experiences! So even if you don’t “tick all the boxes” but think you’d thrive in this role, we would really like to learn more about you.

What we offer: The Toppings

  • Compensation and Perks – You’ll receive a competitive salary package, including a HelloFresh-subsidized pension scheme.
  • Health – Access mindfulness support through platforms like Headspace and Spill, promoting your mental well-being.
  • Hybrid Working Schedule – We offer a flexible hybrid model to support your productivity and personal balance.
  • Leave – Recharge with options like sabbatical leave in addition to standard time off.
  • Learning and Development – Grow your skills with internal training opportunities, access to the HelloFresh Academy, and a dedicated budget for German language courses.
  • HelloFresh Discounts – Enjoy savings on your weekly HelloFresh box and exclusive meal deals at the office.
  • Daily Comforts – Take advantage of tasty in-office meal deals and fresh food options to keep you energized.
  • Fitness and Well-being – Stay active with 24/7 office gym access, discounted Urban Sports Club membership, and well-being resources to support your overall health.
  • Commute Support – Get to work with ease through sustainable travel perks and transportation benefits.
  • Parent Benefits – Take advantage of working-parent-friendly policies designed to support your family life and future planning.
Are you the missing ingredient? If this sounds like a tasty opportunity, we’d be excited to hear from you. We aim to review your profile and respond within 5 business days.


#Data

Locations

  • Berlin, Berlin, Germany

Salary

Salary details available upon request

Estimated Salary Rangemedium confidence

140,000 - 220,000 EUR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Data Scienceintermediate
  • Machine Learning (ML)intermediate
  • Leadershipintermediate
  • Data Engineeringintermediate
  • Modern data architecturesintermediate
  • Cloud-based ML platformsintermediate
  • Experimentation systemsintermediate
  • Stakeholder managementintermediate
  • ML Opsintermediate
  • Causal inferenceintermediate
  • Advanced analyticsintermediate
  • Data quality and governanceintermediate
  • GenAI applicationsintermediate
  • LLM-based product featuresintermediate

Required Qualifications

  • 10+ years of experience in Data Science or ML, with 5+ years in leadership roles (experience)
  • Proven success leading multidisciplinary teams (data science, data engineering, ML) (experience)
  • Good understanding of modern data architectures, cloud-based ML platforms, and experimentation systems (experience)
  • Experience integrating data science into product engineering organizations (e.g., through embedded roles or hybrid models) (experience)
  • Excellent stakeholder management and ability to influence senior product and business leaders (experience)
  • Track record of delivering production-grade ML models and measurable product impact (experience)
  • Familiarity with GenAI applications and LLM-based product features (experience)

Preferred Qualifications

  • Experience in e-commerce, marketplaces, or consumer tech environments (experience)
  • Background in both data science research and engineering best practices (CI/CD for data, data observability, etc.) (experience)

Responsibilities

  • Define the Strategy: Set and execute the holistic data science and data engineering strategy, aligning model innovation with consumer product objectives and company goals, specifically focusing on all aspects of personalization and search
  • Lead the Organization: Build and lead a multidisciplinary organization (Data Engineering, Product Analytics, Data Scientists/ML Engineers)
  • Drive Personalization: Define and execute the strategy for smart personalization, including ranking, recommendations, and behavioral analysis to maximize customer-facing impact and order rate for both subscribers and non-subscribers
  • Ensure Productionization: Oversee the design, development, and deployment of ML models, pipelines, and data products, ensuring the team moves models from development to reliable, scalable production with strong ML Ops and feedback loops
  • Champion the Culture: Embed a data-first and experimentation-driven culture across product teams, supporting discovery and decision-making with causal inference, advanced analytics, and ensuring data quality and governance
  • Lead Cross-Functionally: Act as a credible voice with executive stakeholders, clearly communicating the impact of data initiatives and ensuring KPI alignment with business outcomes, not just model performance

Benefits

  • general: Compensation and Perks – You’ll receive a competitive salary package, including a HelloFresh-subsidized pension scheme
  • general: Health – Access mindfulness support through platforms like Headspace and Spill, promoting your mental well-being
  • general: Hybrid Working Schedule – We offer a flexible hybrid model to support your productivity and personal balance
  • general: Leave – Recharge with options like sabbatical leave in addition to standard time off
  • general: Learning and Development – Grow your skills with internal training opportunities, access to the HelloFresh Academy, and a dedicated budget for German language courses
  • general: HelloFresh Discounts – Enjoy savings on your weekly HelloFresh box and exclusive meal deals at the office
  • general: Daily Comforts – Take advantage of tasty in-office meal deals and fresh food options to keep you energized
  • general: Fitness and Well-being – Stay active with 24/7 office gym access, discounted Urban Sports Club membership, and well-being resources to support your overall health
  • general: Commute Support – Get to work with ease through sustainable travel perks and transportation benefits
  • general: Parent Benefits – Take advantage of working-parent-friendly policies designed to support your family life and future planning

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HelloFresh logo

Senior Director, Data Science (all genders)

HelloFresh

Senior Director, Data Science (all genders)

full-timePosted: Dec 12, 2025

Job Description

About the role: What's in the Box

As a Senior Director of Data Science, you will lead a multidisciplinary organization of data scientists, data engineers and analysts who partner deeply with product and engineering teams to drive measurable business impact. Your mission is to elevate how data, experimentation, and machine learning power our products and decisions - focusing on all aspects of personalization and search for the consumer product organization.

What you’ll do: The Recipe

  • Define the Strategy: Set and execute the holistic data science and data engineering strategy, aligning model innovation with consumer product objectives and company goals, specifically focusing on all aspects of personalization and search.
  • Lead the Organization: Build and lead a multidisciplinary organization (Data Engineering, Product Analytics, Data Scientists/ML Engineers).
  • Drive Personalization: Define and execute the strategy for smart personalization, including ranking, recommendations, and behavioral analysis to maximize customer-facing impact and order rate for both subscribers and non-subscribers.
  • Ensure Productionization: Oversee the design, development, and deployment of ML models, pipelines, and data products, ensuring the team moves models from development to reliable, scalable production with strong ML Ops and feedback loops.
  • Champion the Culture: Embed a data-first and experimentation-driven culture across product teams, supporting discovery and decision-making with causal inference, advanced analytics, and ensuring data quality and governance.
  • Lead Cross-Functionally: Act as a credible voice with executive stakeholders, clearly communicating the impact of data initiatives and ensuring KPI alignment with business outcomes, not just model performance.

What you’ll bring: The Ingredients

  • 10+ years of experience in Data Science or ML, with 5+ years in leadership roles.
  • Proven success leading multidisciplinary teams (data science, data engineering, ML).
  • Good understanding of modern data architectures, cloud-based ML platforms, and experimentation systems.
  • Experience integrating data science into product engineering organizations (e.g., through embedded roles or hybrid models).
  • Excellent stakeholder management and ability to influence senior product and business leaders.
  • Track record of delivering production-grade ML models and measurable product impact.
  • Familiarity with GenAI applications and LLM-based product features.

Nice to Have:

  • Experience in e-commerce, marketplaces, or consumer tech environments.
  • Background in both data science research and engineering best practices (CI/CD for data, data observability, etc.).

Above all, we are looking for people who will make HelloFresh better. There are many different ways of developing skills, and we love diverse experiences! So even if you don’t “tick all the boxes” but think you’d thrive in this role, we would really like to learn more about you.

What we offer: The Toppings

  • Compensation and Perks – You’ll receive a competitive salary package, including a HelloFresh-subsidized pension scheme.
  • Health – Access mindfulness support through platforms like Headspace and Spill, promoting your mental well-being.
  • Hybrid Working Schedule – We offer a flexible hybrid model to support your productivity and personal balance.
  • Leave – Recharge with options like sabbatical leave in addition to standard time off.
  • Learning and Development – Grow your skills with internal training opportunities, access to the HelloFresh Academy, and a dedicated budget for German language courses.
  • HelloFresh Discounts – Enjoy savings on your weekly HelloFresh box and exclusive meal deals at the office.
  • Daily Comforts – Take advantage of tasty in-office meal deals and fresh food options to keep you energized.
  • Fitness and Well-being – Stay active with 24/7 office gym access, discounted Urban Sports Club membership, and well-being resources to support your overall health.
  • Commute Support – Get to work with ease through sustainable travel perks and transportation benefits.
  • Parent Benefits – Take advantage of working-parent-friendly policies designed to support your family life and future planning.
Are you the missing ingredient? If this sounds like a tasty opportunity, we’d be excited to hear from you. We aim to review your profile and respond within 5 business days.


#Data

Locations

  • Berlin, Berlin, Germany

Salary

Salary details available upon request

Estimated Salary Rangemedium confidence

140,000 - 220,000 EUR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Data Scienceintermediate
  • Machine Learning (ML)intermediate
  • Leadershipintermediate
  • Data Engineeringintermediate
  • Modern data architecturesintermediate
  • Cloud-based ML platformsintermediate
  • Experimentation systemsintermediate
  • Stakeholder managementintermediate
  • ML Opsintermediate
  • Causal inferenceintermediate
  • Advanced analyticsintermediate
  • Data quality and governanceintermediate
  • GenAI applicationsintermediate
  • LLM-based product featuresintermediate

Required Qualifications

  • 10+ years of experience in Data Science or ML, with 5+ years in leadership roles (experience)
  • Proven success leading multidisciplinary teams (data science, data engineering, ML) (experience)
  • Good understanding of modern data architectures, cloud-based ML platforms, and experimentation systems (experience)
  • Experience integrating data science into product engineering organizations (e.g., through embedded roles or hybrid models) (experience)
  • Excellent stakeholder management and ability to influence senior product and business leaders (experience)
  • Track record of delivering production-grade ML models and measurable product impact (experience)
  • Familiarity with GenAI applications and LLM-based product features (experience)

Preferred Qualifications

  • Experience in e-commerce, marketplaces, or consumer tech environments (experience)
  • Background in both data science research and engineering best practices (CI/CD for data, data observability, etc.) (experience)

Responsibilities

  • Define the Strategy: Set and execute the holistic data science and data engineering strategy, aligning model innovation with consumer product objectives and company goals, specifically focusing on all aspects of personalization and search
  • Lead the Organization: Build and lead a multidisciplinary organization (Data Engineering, Product Analytics, Data Scientists/ML Engineers)
  • Drive Personalization: Define and execute the strategy for smart personalization, including ranking, recommendations, and behavioral analysis to maximize customer-facing impact and order rate for both subscribers and non-subscribers
  • Ensure Productionization: Oversee the design, development, and deployment of ML models, pipelines, and data products, ensuring the team moves models from development to reliable, scalable production with strong ML Ops and feedback loops
  • Champion the Culture: Embed a data-first and experimentation-driven culture across product teams, supporting discovery and decision-making with causal inference, advanced analytics, and ensuring data quality and governance
  • Lead Cross-Functionally: Act as a credible voice with executive stakeholders, clearly communicating the impact of data initiatives and ensuring KPI alignment with business outcomes, not just model performance

Benefits

  • general: Compensation and Perks – You’ll receive a competitive salary package, including a HelloFresh-subsidized pension scheme
  • general: Health – Access mindfulness support through platforms like Headspace and Spill, promoting your mental well-being
  • general: Hybrid Working Schedule – We offer a flexible hybrid model to support your productivity and personal balance
  • general: Leave – Recharge with options like sabbatical leave in addition to standard time off
  • general: Learning and Development – Grow your skills with internal training opportunities, access to the HelloFresh Academy, and a dedicated budget for German language courses
  • general: HelloFresh Discounts – Enjoy savings on your weekly HelloFresh box and exclusive meal deals at the office
  • general: Daily Comforts – Take advantage of tasty in-office meal deals and fresh food options to keep you energized
  • general: Fitness and Well-being – Stay active with 24/7 office gym access, discounted Urban Sports Club membership, and well-being resources to support your overall health
  • general: Commute Support – Get to work with ease through sustainable travel perks and transportation benefits
  • general: Parent Benefits – Take advantage of working-parent-friendly policies designed to support your family life and future planning

Target Your Resume for "Senior Director, Data Science (all genders)" , HelloFresh

Get personalized recommendations to optimize your resume specifically for Senior Director, Data Science (all genders). Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Senior Director, Data Science (all genders)" , HelloFresh

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Data - General Data - General
Quiz Challenge

Answer 10 quick questions to check your fit for Senior Director, Data Science (all genders) @ HelloFresh.

10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.