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

Alumni Network Job Board; Berlin; Hybrid; EUR 80.000 - 100.000; Vollzeit

Zusammenfassung

A leading food delivery service in Berlin is seeking a Senior Data Scientist. This role focuses on shaping user journeys through machine learning models, decisioning processes, and partnerships across teams. Candidates should have over 5 years of experience in data science and a strong foundation in machine learning techniques relevant to marketing. The company offers competitive compensation, relocation support, and a hybrid work model alongside wellness benefits.

Leistungen

HelloFresh-subsidised Pension Scheme

Berlin relocation support

Hybrid working model

Exclusive discounts on meals

Mental health support

Transportation perks

24/7 gym access

Sabbatical leave options

Qualifikationen

• 5+ years of professional experience in data science or a related quantitative field.
• Strong foundation in machine learning related to personalization and marketing.
• Hands-on experience with regression, classification, clustering, and recommendation systems.
• Experience with designing and analyzing A/B tests and controlled experiments.
• Familiarity with customer behavior data and segmentation.
• Experience in production environments and teamwork with engineers.
• Clear communication skills.

Aufgaben

• Build and iterate on machine learning models for personalized user journeys.
• Work on decisioning models for conversion steps.
• Contribute to system design for data science solutions.
• Shape ML decisions in conversion funnels.
• Design experimentation for decisioning models.
• Monitor model performance and reliability.

Kenntnisse

Machine learning concepts

Regression techniques

Classification techniques

Clustering

Recommendation systems

A/B testing

Data analysis

Collaboration with engineers

Structured communication

Jobbeschreibung

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

Berlin, Berlin, Germany

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 behaviour 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‑subsidised 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.

HelloFresh is committed to the principles of equal employment opportunity and providing reasonable accommodations to candidates with disabilities. If you need an accommodation during the application process, please reach out to us at:

Europe: [e-mail].
APAC: [e-mail]
United States: [e-mail]
Canada: [e-mail]

Dear potential newHelloFresher. We are thrilled to see your interest in our positions here at HelloFresh! We genuinely care about diversity and inclusion. We hope you can answer our question above, which will be used to analyze and improve our diversity and inclusion efforts.

Please, note that your gender will not be disclosed to our talent acquisition team or linked to your application by any way. By sharing 'how you identify', you explicitly consent to the processing of this information and to HelloFresh adding this information to an aggregated data set, which will be used for analysis.

Should you choose to not participate, please select “Prefer Not to Disclose”. Not participating will not have any negative impact on your application, and your answer will not be identified with you individually.

We thank you in advance!