Job
In dieser Rolle entwickelst du das erste Machine Learning Modell zur Partnerzuordnung, steigerst Matchraten durch datenbasierte Entscheidungen und optimierst die Datenpipeline für langfristigen Erfolg.
Job-Technologien
Deine Rolle im Team
- With a mission to empower 15.6 million house owners across Germany and the broader DACH region, we at Aroundhome are building a platform where every strategic decision is powered 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.
- You will start from the problems homeowners and partners actually have, and own the solution end to end, in a small new team with a product manager, an engineer and the team lead.
- 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, raise 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 it scales.
- 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 set the practices for machine learning at Aroundhome.
- Translate Models into Decisions: Explain trade-offs between customer experience, partner fulfillment and revenue to product managers, partner category managers, key account managers and senior leadership.
Unsere Erwartungen an dich
Ausbildung
- Bachelor's or Master's degree or equivalent practical experience in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Economics).
Qualifikationen
- 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.
Erfahrung
- 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.
Unser Angebot
- Decide freely whether you want to work from our office in Berlin, from home throughout Germany, or fully remote 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 as well as great workshops to seek new input and specific 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 'Fürstenberg Institute' is available to you and your family members with advice and support when it comes to mental health & coaching.
- To make our world a little bit better, our ESG Team (Environmental, Social & Governance) promotes our awareness for 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 a possible salary range for this position, feel free to send us an email at jobs@aroundhome.de.
- We will get back to you as soon as possible.
Benefits
Gesundheit, Fitness & Fun
Themen, mit denen du dich im Job beschäftigst
Job-Standorte
Das ist dein Arbeitgeber
Aroundhome ist Deutschlands größter Vermittler für Produkte und Dienstleistungen rund ums Haus. Wir helfen Millionen Menschen bei der Suche nach der richtigen Fachfirma für Solaranlagen, neue Fenster oder Küchen in ihrer Nähe.
- Englisch
- Etablierte Firma
- Onsite, Hybrid, Full Remote
- Handel
Weitere Jobs
Diese Jobs könnten dich auch interessieren
Hallo, lass uns WIR sagen! Wir - die HUK-COBURG Versicherungsgruppe - zählen zu den 10 größten in Deutschland. Vor über 90 Jahren gegründet sind wir mit über 13 Millionen Kund:innen heute der große Versicherer für Privathaushalte und der größte deutsche...
Die Rolle Als Forward Deployed AI Engineer gehst du direkt in unseren Fachbereichen, verstehst die Abläufe und baust produktionsreife AI und Automatisierungs-Lösungen, die die Arbeitsweise der gesamten GGW-Gruppe grundlegend verändern werden. Du...
Betrieb, Überwachung und Weiterentwicklung der Netzwerk-Infrastruktur. Administration und Konfiguration von Firewalls, Routern und Switches. Sicherstellung der Netzverfügbarkeit, -performance und -sicherheit. Mitwirkung bei IT‐Sicherheitskonzepten und...
