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Senior Data Scientist, Growth Alliance(m/f/d)

HelloFresh

Senior Data Scientist, Growth Alliance(m/f/d)

full-timePosted: Jan 7, 2026

Job Description

The role

As a Senior Data Scientist in Conversions, you will play a key role in shaping the intelligence that drives customized user journeys across our funnels. You will work on complex feature engineering and optimization efforts, contributing to the data foundations and analytical approaches that power our decisioning platform for personalized experiences. Your work will help enable an automated engine that determines the right journey, for the right user, at the right time, based on intent, channel, and campaign context. You will operate in a highly cross-functional environment, partnering closely with Product, Engineering, and Marketing to design, evaluate, and scale personalization 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

  • Build and iterate on machine learning models powering personalisation that run in production behind high-traffic, performance-critical conversion pages.
  • Work on decisioning models that determine the best next step in the conversion funnel for each user.
  • Contribute to system design by working with Engineering to ensure data science solutions integrate cleanly into the overall funnel architecture.
  • Work directly with Product and Engineering to shape how ML-driven decisions are embedded into the conversion funnels, including where models decide and how failures are handled.
  • Own experimentation design for decisioning models, defining success metrics, guardrails, and how results are interpreted in high-noise, high-traffic environments.
  • Ensure models remain safe and effective in production by monitoring performance, input data reliability, and latency, and iterating when issues are detected.

What you’ll bring

  • 5+ years of professional experience in data science or a related quantitative field.
  • Strong foundation in machine learning concepts relevant to personalization and marketing communications.
  • Hands-on experience with techniques such as regression, classification, clustering, recommendation systems, and experimentation.
  • Practical experience designing and analyzing A/B tests and controlled experiments.
  • Experience working with customer behavior data and segmentation.
  • Extensive experience with operating in production environments and collaborating closely with engineers.
  • Clear, structured communication skills and a collaborative mindset.

What we offer

Join one of Europe's fastest-growing tech powerhouses and industry leaders.

  • 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.
  • 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.

Locations

  • Berlin, Berlin, Germany

Salary

Salary details available upon request

Estimated Salary Rangemedium confidence

75,000 - 115,000 EUR / yearly

Source: ai estimated

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

Skills Required

  • machine learningintermediate
  • regressionintermediate
  • classificationintermediate
  • clusteringintermediate
  • recommendation systemsintermediate
  • experimentationintermediate
  • A/B testsintermediate
  • controlled experimentsintermediate
  • customer behavior dataintermediate
  • segmentationintermediate
  • production environmentsintermediate
  • collaboration with engineersintermediate
  • clear, structured communicationintermediate
  • collaborative mindsetintermediate

Required Qualifications

  • 5+ years of professional experience in data science or a related quantitative field (experience)
  • Strong foundation in machine learning concepts relevant to personalization and marketing communications (experience)
  • Hands-on experience with techniques such as regression, classification, clustering, recommendation systems, and experimentation (experience)
  • Practical experience designing and analyzing A/B tests and controlled experiments (experience)
  • Experience working with customer behavior data and segmentation (experience)
  • Extensive experience with operating in production environments and collaborating closely with engineers (experience)
  • Clear, structured communication skills and a collaborative mindset (experience)

Responsibilities

  • Build and iterate on machine learning models powering personalisation that run in production behind high-traffic, performance-critical conversion pages
  • Work on decisioning models that determine the best next step in the conversion funnel for each user
  • Contribute to system design by working with Engineering to ensure data science solutions integrate cleanly into the overall funnel architecture
  • Work directly with Product and Engineering to shape how ML-driven decisions are embedded into the conversion funnels, including where models decide and how failures are handled
  • Own experimentation design for decisioning models, defining success metrics, guardrails, and how results are interpreted in high-noise, high-traffic environments
  • Ensure models remain safe and effective in production by monitoring performance, input data reliability, and latency, and iterating when issues are detected

Benefits

  • general: Competitive compensation package
  • general: HelloFresh-subsidized Pension Scheme
  • general: Berlin relocation support
  • general: Hybrid working model
  • general: Exclusive discounts on your weekly HelloFresh box and office meals
  • general: Mental health support
  • general: Transportation perks
  • general: Working-parent-friendly benefits
  • general: 24/7 gym access
  • general: Wellbeing platforms like Headspace and Spill
  • general: Sabbatical leave options

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HelloFresh logo

Senior Data Scientist, Growth Alliance(m/f/d)

HelloFresh

Senior Data Scientist, Growth Alliance(m/f/d)

full-timePosted: Jan 7, 2026

Job Description

The role

As a Senior Data Scientist in Conversions, you will play a key role in shaping the intelligence that drives customized user journeys across our funnels. You will work on complex feature engineering and optimization efforts, contributing to the data foundations and analytical approaches that power our decisioning platform for personalized experiences. Your work will help enable an automated engine that determines the right journey, for the right user, at the right time, based on intent, channel, and campaign context. You will operate in a highly cross-functional environment, partnering closely with Product, Engineering, and Marketing to design, evaluate, and scale personalization 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

  • Build and iterate on machine learning models powering personalisation that run in production behind high-traffic, performance-critical conversion pages.
  • Work on decisioning models that determine the best next step in the conversion funnel for each user.
  • Contribute to system design by working with Engineering to ensure data science solutions integrate cleanly into the overall funnel architecture.
  • Work directly with Product and Engineering to shape how ML-driven decisions are embedded into the conversion funnels, including where models decide and how failures are handled.
  • Own experimentation design for decisioning models, defining success metrics, guardrails, and how results are interpreted in high-noise, high-traffic environments.
  • Ensure models remain safe and effective in production by monitoring performance, input data reliability, and latency, and iterating when issues are detected.

What you’ll bring

  • 5+ years of professional experience in data science or a related quantitative field.
  • Strong foundation in machine learning concepts relevant to personalization and marketing communications.
  • Hands-on experience with techniques such as regression, classification, clustering, recommendation systems, and experimentation.
  • Practical experience designing and analyzing A/B tests and controlled experiments.
  • Experience working with customer behavior data and segmentation.
  • Extensive experience with operating in production environments and collaborating closely with engineers.
  • Clear, structured communication skills and a collaborative mindset.

What we offer

Join one of Europe's fastest-growing tech powerhouses and industry leaders.

  • 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.
  • 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.

Locations

  • Berlin, Berlin, Germany

Salary

Salary details available upon request

Estimated Salary Rangemedium confidence

75,000 - 115,000 EUR / yearly

Source: ai estimated

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

Skills Required

  • machine learningintermediate
  • regressionintermediate
  • classificationintermediate
  • clusteringintermediate
  • recommendation systemsintermediate
  • experimentationintermediate
  • A/B testsintermediate
  • controlled experimentsintermediate
  • customer behavior dataintermediate
  • segmentationintermediate
  • production environmentsintermediate
  • collaboration with engineersintermediate
  • clear, structured communicationintermediate
  • collaborative mindsetintermediate

Required Qualifications

  • 5+ years of professional experience in data science or a related quantitative field (experience)
  • Strong foundation in machine learning concepts relevant to personalization and marketing communications (experience)
  • Hands-on experience with techniques such as regression, classification, clustering, recommendation systems, and experimentation (experience)
  • Practical experience designing and analyzing A/B tests and controlled experiments (experience)
  • Experience working with customer behavior data and segmentation (experience)
  • Extensive experience with operating in production environments and collaborating closely with engineers (experience)
  • Clear, structured communication skills and a collaborative mindset (experience)

Responsibilities

  • Build and iterate on machine learning models powering personalisation that run in production behind high-traffic, performance-critical conversion pages
  • Work on decisioning models that determine the best next step in the conversion funnel for each user
  • Contribute to system design by working with Engineering to ensure data science solutions integrate cleanly into the overall funnel architecture
  • Work directly with Product and Engineering to shape how ML-driven decisions are embedded into the conversion funnels, including where models decide and how failures are handled
  • Own experimentation design for decisioning models, defining success metrics, guardrails, and how results are interpreted in high-noise, high-traffic environments
  • Ensure models remain safe and effective in production by monitoring performance, input data reliability, and latency, and iterating when issues are detected

Benefits

  • general: Competitive compensation package
  • general: HelloFresh-subsidized Pension Scheme
  • general: Berlin relocation support
  • general: Hybrid working model
  • general: Exclusive discounts on your weekly HelloFresh box and office meals
  • general: Mental health support
  • general: Transportation perks
  • general: Working-parent-friendly benefits
  • general: 24/7 gym access
  • general: Wellbeing platforms like Headspace and Spill
  • general: Sabbatical leave options

Target Your Resume for "Senior Data Scientist, Growth Alliance(m/f/d)" , HelloFresh

Get personalized recommendations to optimize your resume specifically for Senior Data Scientist, Growth Alliance(m/f/d). Takes only 15 seconds!

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

Check Your ATS Score for "Senior Data Scientist, Growth Alliance(m/f/d)" , 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

Tech Tech
Quiz Challenge

Answer 10 quick questions to check your fit for Senior Data Scientist, Growth Alliance(m/f/d) @ HelloFresh.

10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.