Senior Data Scientist, Growth Alliance (f/m/x)
- Level
- Senior
Not stated in the posting: salary, work type, visa.
Open. First seen 3 October 2026.
What this role asks for
Particular to this role
Docker · Git · NumPy · Pandas · Spark · matplotlib · scikit-learn
Rare in HelloFresh's other 76 open postings.
Standard for data science / ML roles
Machine Learning · Python · SQL
Common in data science / ML postings at any company.
Read against HelloFresh's other open postings on this site.
The team: Tech HIRES STEADILY
This role is one of 40 open in Tech. 12 were posted in the last 30 days and the oldest in December: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
AWS (24 of 40), Python (23 of 40), CI/CD (17 of 40), Kafka (17 of 40), Generative AI (13 of 40), Golang (12 of 40), Databricks (11 of 40)
OTHER ROLES ON THIS TEAM
- Senior Mobile Product Engineer, Menu Discovery posted Oct 16
- [TECH] Senior Forward Deployed Engineer [INTELLIGENT PLATFORMS] posted Oct 15
- Security Engineer, SOC (all genders) posted Oct 15
- Senior Machine Learning Engineer, Benefits Personalization posted Oct 13
- Principal Security Engineer, Security Tribe posted Oct 9
- [TECH] Senior Data Scientist, Demand Forecasting, Food Systems (f/m/x) posted Oct 7
- Senior Data Scientist, Growth (f/m/x) posted Oct 7
- Staff Backend Product Engineer, Operations Technology posted Sep 30
- Senior Product React Native Engineer, Order & Subscription posted Sep 30
- Senior Frontend Developer (React Native) posted Sep 25
- Engineering Manager, Consumer Alliance posted Sep 21
- Principal Engineer, Growth Mega Alliance (all genders) posted Sep 18
- Staff Backend Engineer, Customer Value Optimization posted Sep 15
- Senior Frontend Developer, Market Innovations posted Sep 11
- Senior AI Engineer, Inteligent Platforms posted Sep 7
- Staff Backend Product Engineer, Shopping AI & Search squad posted Sep 3
- Senior Mobile Product Engineer, Intelligent Platforms (all genders) posted Sep 2
- Data Engineer, Operations Technology (all genders) posted Sep 1
- Senior Data Product Engineer, Intelligent Platforms (all genders) posted Aug 31
- Senior Mobile Engineer - React Native, Platform/Infrastructure (all genders) posted Aug 28
- Security Engineer (ITSec) (m,f,x) posted Aug 27
- Director, Global WMS Software Engineering and Product Design posted Aug 26
- Director, WMS Product Design/Development [OPERATIONS TECHNOLOGY] posted Aug 21
- Director, WMS Product Design and Engineering posted Aug 21
- Senior Backend Product Developer, SCM Tech Fulfillment posted Aug 18
- Director of Engineering, Operations Planning posted Aug 18
- Senior Machine Learning Product Engineer, Communications, Growth Alliance posted Aug 17
- Senior Director of Machine Learning Engineering posted Aug 11
- Senior React Native Product Engineer, Consumer Alliance (all genders) posted Aug 7
- IT Engineer, Google Workspace, IT & Security posted Jul 17
- Staff Backend Product Engineer, Operations Technology (all genders) posted Jul 16
- Staff Product Manager, Benefits Platform (all genders) posted Jul 8
- Mobile Staff Product Engineer, Platform/Infrastructure (all genders) posted Jun 30
- Senior Backend Product Engineer - Python and/or Go (all genders) posted Jun 26
- Senior Backend Product Engineer - Go and/or JVM (all genders) posted Jun 26
- Senior Data Product Engineer, Marketing Customer Profile (all genders) posted Jun 5
- Staff Engineer (Backend), Market Innovations posted May 26
- Senior Machine Learning Engineer, Growth posted Mar 25
- Backend Engineer, Consumer posted Dec 2
From the team and dates on HelloFresh's own job board.
About the role
Work with HelloFresh in Warsaw and its HelloTech organisation, HelloFresh’s global technology backbone with more than 1000 people, building the digital products that power our end-to-end food experience. From meal kits and ready-to-eat meals to specialty offerings like pet food and premium meat & seafood, HelloTech creates the platforms that bring tailored food solutions to millions of customers every month.
Our subscription-based, direct-to-consumer model relies on technology at every step, from customer-facing apps and personalization logic to pricing, forecasting, supply chain optimization, and initiatives that help reduce food waste. While our brands operate independently to serve distinct customer needs, they are united by shared platforms, data, and operational excellence built by HelloTech.
HelloTech works in autonomous, cross-functional alliances, each owning a specific product or domain end to end. By working with our Warsaw office, you will help shape scalable, data-driven products used across our markets, working with a modern tech stack and international teams to continuously improve how people discover, order, and enjoy HelloFresh’s products, today and in the future.
About the role: What's in the Box
The Growth Alliance powers HelloFresh’s marketing engine, from media investment and in-channel optimization, to the conversion funnel, to how and when we communicate with customers. As a Senior Data Scientist, you will design and ship statistical and machine learning models that turn data from experiments, campaigns, and customer behavior into decisions that directly move the business: how we spend our marketing budget, how we convert visitors into customers, and how we personalize every touchpoint along the way.
You’ll join one of several teams within the alliance, spanning marketing measurement and attribution, channel optimisation, funnel optimisation and decisioning on customer communications and messaging. Across all of these topics, the through line is the same: rigorous modeling, close collaboration with engineering and marketing stakeholders, and a bias toward shipping models that work in production, not just in a notebook.
To succeed in this role, you should be a curious, pragmatic problem solver who relentlessly prioritizes based on impact, is comfortable with statistical uncertainty, and can translate a fuzzy business question into a concrete, testable model.
At HelloTech, flexibility and cross-functional collaboration are core to how we work. While this role is aligned to a specific Alliance, strong candidates may also be considered for opportunities across different teams or projects.
What you’ll do: The Recipe
- Design, build, and take ownership of statistical and machine learning models, from data collection through to production, closely aligning the approach with non-technical stakeholders.
- Collaborate within cross-functional teams (engineering, product, marketing) to translate business objectives into concrete, data-driven strategies.
- Experimentation: design tests, define success metrics and guardrails, and interpret results while accounting for statistical uncertainty, noise, and bias.
- Continuously iterate and refine your technical approach, monitor model performance, data reliability, and drift once in production.
- Retrieve, manipulate, and analyze large, heterogeneous datasets, and build the data pipelines your models depend on.
- Think beyond the immediate ask to find new ways to improve the data products delivered to stakeholders.
- As a senior member of the team, jump in to help solve problems as they arise, and support and coach more junior data scientists.
What you’ll bring: The Ingredients
- Proven track record of scientific work through a Bachelor’s, Master’s, or PhD in statistics, physics, economics, mathematics, data science, or a related quantitative field.
- 3+ years of professional experience as a (senior) data scientist or in a related quantitative role, ideally in e-commerce, marketing, or a comparably high-traffic, consumer-facing environment.
- Strong marketing and/or growth domain knowledge, with experience applying statistical models such as regressors and classifiers, and interpreting experiment results under real-world uncertainty.
- Fluency in Python and its scientific stack (NumPy, Pandas, Scikit-learn, Matplotlib); comfortable retrieving and analyzing data with SQL. Experience with Databricks/Spark is a plus.
- Familiarity with software engineering practices and tools (Git, Docker, AWS or similar cloud environments).
- Comfortable using recent Gen AI tools (e.g. Claude Code) to design and build solutions in a structured and pragmatic manner.
- A critical thinker and creative problem solver who is comfortable proposing and prioritizing multiple solutions based on effort and likely impact.
- A collaborative team player with exceptional communication skills, able to work with stakeholders from different backgrounds in an international environment.
Nice to have (domain specific), if you find yourself in one of the below, it’s a huge plus!
- Measurement & attribution: experience with media mix models, attribution modeling, or incrementality measurement; Bayesian forecasting and estimating model uncertainty.
- Search or Social channel optimization: experience with the Google/Meta ecosystem or other paid channels, forecasting algorithms, portfolio optimization, or Vector Autoregression.
- Conversion & personalization: experience building decisioning or recommendation models that run in production behind high-traffic conversion funnels; customer segmentation and behavioral data.
- Messaging & send decisioning: direct experience with reinforcement learning or contextual bandits (e.g. Thompson Sampling, epsilon-greedy), off-policy/counterfactual evaluation, or CRM and marketing decisioning use cases.
Above all, we are looking for individuals who will make HelloFresh better. We believe 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
- Global collaboration at scale: Collaborate with experienced engineers and product partners across HelloTech’s international teams, in a culture of active knowledge sharing.
- Technology with real-world impact: Build and operate modern systems at global scale, supporting 6+ millions of customers and complex supply chain operations.
- Technical/Product/Design leadership: Drive best practices and influence architecture/design, quality, and ways of working in an autonomous, product-led setup.
- End-to-end development/delivery: Drive decisions from problem definition to production, improving systems and enabling long-term scalability.
- Access to workspace at Warsaw centre. The hub offers modern facilities including showers, breakout zones, outdoor space, cycle parking, and refreshments (coffee, soft drinks, and fruit).
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.
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