Senior Data Scientist, Growth (f/m/x)
HelloFresh · Berlin, Berlin, Germany
What the posting says
Each fact carries its state:Statedfound in the postingConflictstwo statements disagree, both quotedNot mentionedthe posting does not say
- ExperienceStated
- 2-5 years
- EducationStated
- ['bachelor degree', 'postgraduate degree']
Not mentioned in this posting
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- PayNot mentioned
- The posting does not say
- Employment typeNot mentioned
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- Work arrangementNot mentioned
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- ShiftNot mentioned
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- Visa sponsorshipNot mentioned
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Requirements, each with its sentence from the posting
These are the employer’s words. The index does not judge whether you meet them.
- Pythonrequired
Fluency in Python and its scientific stack (NumPy, Pandas, Scikit-learn, Matplotlib)
from the posting - SQLrequired
comfortable retrieving and analyzing data with SQL
from the posting - Statistical modelingrequired
experience applying statistical models such as regressors and classifiers
from the posting - A/B testing and experimentationrequired
design tests, define success metrics and guardrails, and interpret results
from the posting - NumPyrequired
Fluency in Python and its scientific stack (NumPy, Pandas, Scikit-learn, Matplotlib)
from the posting - Pandasrequired
Fluency in Python and its scientific stack (NumPy, Pandas, Scikit-learn, Matplotlib)
from the posting - Scikit-learnrequired
Fluency in Python and its scientific stack (NumPy, Pandas, Scikit-learn, Matplotlib)
from the posting - Gitrequired
Familiarity with software engineering practices and tools (Git, Docker, AWS or similar cloud environments)
from the posting - Dockerrequired
Familiarity with software engineering practices and tools (Git, Docker, AWS or similar cloud environments)
from the posting - AWSrequired
Familiarity with software engineering practices and tools (Git, Docker, AWS or similar cloud environments)
from the posting - Machine learning model developmentrequired
3+ years of professional experience as a (senior) data scientist
from the posting - Bachelor's degree in quantitative fieldrequired
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
from the posting - Growth and marketing domain knowledgerequired
Strong marketing and/or growth domain knowledge
from the posting - Communication skillsrequired
exceptional communication skills, able to work with stakeholders from different backgrounds
from the posting - Databrickspreferred
Experience with Databricks/Spark is a plus
from the posting - Sparkpreferred
Experience with Databricks/Spark is a plus
from the posting - GenAI toolspreferred
Comfortable using recent Gen AI tools (e.g. Claude Code)
from the posting
Read the full posting as the employer wrote it
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.
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.
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
The posting text is reproduced as the employer wrote it; the index adds nothing to it.