Job
In this role, you will develop the first machine learning model for partner matching, enhance match rates through data-driven decisions, and optimize the data pipeline for long-term success.
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Your role in the team
- With a mission to empower 15.6 million homeowners across Germany and the wider DACH region, we at Aroundhome are building a platform where every strategic decision is driven by data.
- As a Senior Data Scientist, you will build Aroundhome's first machine learning model in production: the logic that decides which partners each homeowner is matched with.
- Du gehst von den tatsächlichen Problemen aus, die Hausbesitzer und Partner haben, und verantwortest die Lösung ganzheitlich – in einem kleinen, neu gegründeten Team mit einem Product Manager, einem Engineer und der Teamleitung.
- Start from the Customer: Understand what homeowners and partners need from a match, and turn that into the outcomes and guardrails your models optimize for, not just model metrics.
- Own Our Matching Models: Build and run the models behind our partner matching, end to end: data, features, training, evaluation, deployment and monitoring.
- Make Every Match Count: Improve our matching logic with deployed models that make the most efficient use of partner capacity, increase match rates, and account for regional supply and demand.
- Prove impact: Measure every improvement against our current logic in controlled experiments designed for a two-sided marketplace before scaling it.
- Build the Data Foundation: Create the datasets and pipelines your models need, together with our engineer and the Data Engineering team.
- In the first months, this is a big part of the role.
- Shape our ML stack: Decide with the team how and where models run, and establish machine learning practices at Aroundhome.
- Translate models into decisions: Explain the trade-offs between customer experience, partner fulfillment, and revenue to product managers, partner category managers, key account managers, and senior leadership.
Our expectations of you
Education
- Bachelor's or Master's degree or equivalent practical experience in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Economics).
Qualifications
- Solid foundation in experiment design and causal inference, ideally in a marketplace where test and control groups affect each other.
- A product mindset: you define success in homeowner and partner outcomes, challenge assumptions with evidence, and add complexity only where it earns its place.
- Strong communication skills and the ability to explain models and trade-offs to technical and non-technical stakeholders.
Experience
- Proven experience (5+ years) in applied data science, including at least one ads, ranking, pricing or marketplace model you took to production.
- Production-grade Python and advanced SQL, plus hands-on experience with modern data tooling (e.g., dbt, Airflow, Spark).
- Experience deploying and monitoring models on a cloud ML platform (e.g., SageMaker, Vertex AI, MLflow).
- Hands-on experience with classical machine learning (e.g., gradient-boosted trees), probability calibration, and offline vs. online evaluation.
- A plus: experience with recommender systems or search ranking.
What we offer
- Decide freely whether you want to work from our office in Berlin, from home anywhere in Germany, or fully remotely from Portugal.
- In regular/annual feedback meetings, you design your own personal development path together with your team lead.
- In addition, we offer monthly Tech Talks, an annual training budget, free access to LinkedIn Learning, and great workshops to gain fresh insights and receive targeted training for your personal development.
- We care about your well-being and support your health with a discounted membership at Urban Sports Club.
- In addition, our cooperation partner, the Fürstenberg Institute, is available to you and your family members for advice and support on mental health and coaching.
- To make our world a little better, our ESG Team (Environmental, Social & Governance) raises awareness of environmentally friendly behavior.
- In addition, we work with JobRad, offer a discounted BVG ticket, and actively support social projects in Berlin at our annual Social Day to give something back.
- What drives us is our sense of community.
- That's why we celebrate our Company Day once a month at our Potsdamer Platz office, where everyone gets together in person.
- In addition to a comprehensive update of our C-Board, the main focus is on togetherness and the exchange of ideas over lunch and dinner together.
- If you have any questions about the potential salary range for this position, feel free to email us at jobs@aroundhome.de.
- We will get back to you as soon as possible.
Benefits
Health, fitness & fun
Topics you will work on
Job locations
About your employer
Aroundhome is the biggest provider of products and services for the home in Germany, and helps millions of people find the right company for solar panels, new windows, or a kitchen before they make a purchase. We are dedicated to helping our customers find the best possible service in their area, and pride ourselves on being the leading provider in Germany.
- English
- Established Company
- Onsite, Hybrid, Full Remote
- Trade
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