Senior Data Scientist/ML Ops Engineer (all genders)
Job description
Senior Data Scientist role at Aroundhome to build the company's first production machine learning model, the logic that matches homeowners with partners. The role owns matching models end to end in a small new team with a product manager, an engineer and the team lead.
At a glance
- Work mode
- Hybrid · Berlin, Germany · Germany · Portugal
What you'll do
- 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.
- Build and run the models behind our partner matching, end to end: data, features, training, evaluation, deployment and monitoring.
- 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.
- Measure every improvement against our current logic in controlled experiments designed for a two-sided marketplace, before it scales.
- 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.
- Decide with the team how and where models run, and set the practices for machine learning at Aroundhome.
- Explain trade-offs between customer experience, partner fulfillment and revenue to product managers, partner category managers, key account managers and senior leadership.
What we're looking for
- Bachelor's or Master's degree or equivalent practical experience in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Economics).
- 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).
- Solid foundation in experiment design and causal inference, ideally in a marketplace where test and control groups affect each other.
- Hands-on experience with classical machine learning (e.g., gradient-boosted trees), probability calibration and offline vs online evaluation.
- 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.
Nice to have
- Experience with recommender systems or search ranking.
Benefits
Hybrid Work: decide freely whether you want to work from our office in Berlin, from home throughout Germany, or fully remote from Portugal; possibility to work up to 30 days per year from selected EU countries.
Room to grow: regular/annual feedback meetings, monthly Tech Talks, an annual training budget, free access to LinkedIn Learning as well as great workshops.
Mental & physical health: discounted membership at Urban Sports Club; cooperation partner "Fürstenberg Institute" available to you and your family members with advice and support when it comes to mental health & coaching.
Taking responsibility: ESG Team promotes awareness for environmentally friendly behavior; work with JobRad, discounted BVG ticket, and actively support social projects in Berlin at our annual Social Day.
Teamspirit: Company Day once a month at our Potsdamer Platz office, with a comprehensive update of our C-Board and togetherness over lunch and dinner.
Apply
Direct apply at Aroundhome
Opens the job posting at Aroundhome
About Aroundhome
Aroundhome is building a platform where every strategic decision is powered by data, with a team of around 250 people.
Mission
To empower 15.6 million house owners across Germany and the broader DACH region with a platform where every strategic decision is powered by data.
Key facts
- around 250 people
- Mission to empower 15.6 million house owners across Germany and the broader DACH region
- Team of around 250 people
- Office in Berlin at Potsdamer Platz