Data Scientist
Data Scientist
Join a collaborative team where different perspectives strengthen how we build. Turn complex housing data into models and insights that shape real-world decisions, while growing in an environment that values ownership, curiosity, and learning.
About OPENRED: making an impact on the housing development of the future
OPENRED is building technology that helps tackle one of today’s biggest challenges: the housing shortage. We believe better data leads to better decisions, and that better decisions lead to more accessible, sustainable, and well-planned housing.
As a member of our engineering team, the systems you design will directly influence how housing projects are evaluated and developed. From price predictions to sustainability insights, your work becomes part of real-world decisions made by developers, municipalities, and investors.
You’ll be part of a multidisciplinary team of engineers, data scientists, and product thinkers, working closely together to turn complex data into reliable products. Our team brings together different backgrounds, nationalities, and perspectives, and we value clear thinking, ownership, and collaboration over ego.
Your role
You'll be responsible for designing, building, and operationalizing the data and AI systems that power OPENRED's platform. This goes beyond analysis; you will work on end-to-end systems where real estate market data, sustainability scores, price predictions, and social analytics flow reliably from source to product, at scale and in near real-time.
We're in an exciting phase of our technical evolution, transitioning from a low-code environment to a modern, scalable stack. You’ll play a central role in shaping that foundation together with the team, from data pipelines and cloud architecture to the models and services that drive our core features. You’ll have the space to take initiative and help define how data science and engineering come together at OPENRED.
Your job in a nutshell
Design, build, and maintain scalable data pipelines that ingest, transform, and serve real estate data across our platform.
Develop, train, and deploy AI/ML models, including price prediction, sustainability scoring, and market analytics.
Work on production-grade data and model pipelines, ensuring reliability, monitoring, and performance.
Collaborate closely with engineers and data scientists to bring models into real product features.
Take ownership of the data stack end-to-end, from ingestion and storage to modeling, serving, and monitoring.
Contribute to building a modern MLOps culture, including versioning, experiment tracking, model deployment, and monitoring.
What you bring
We value diverse skill sets. If you see yourself in most of the points below, we'd love to hear from you.
3 to 7 years of experience in data science, data engineering, or a combined AI/ML engineering role.
Strong proficiency in Python and SQL.
Experience developing and deploying ML models in production environments.
Familiarity with modern data stack tooling (e.g. dbt, Airflow, Spark, Beam, or similar).
Bonus if you also bring:
Experience with real-time or streaming data (Kafka, Flink, or similar).
Familiarity with the real estate industry.
Experience with cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code tooling (e.g. Terraform, Pulumi).
Familiarity with geospatial data.
Experience with LLMs and modern AI tooling (LangChain, RAG pipelines, vector databases).
Understanding of how model outputs translate into product features and business value.
Experience in B2B, SaaS, or data-intensive product environments.
Work for organisations such as:
What we offer you
A salary between €3,500 and €6,000, depending on your experience and working hours.
Available for 32+ hours.
Hybrid working model, with 2 office days
Learning and development budget.
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A supportive, engaged team with direct communication, a culture of ownership, and annual team adventures (last year we explored Marrakesh).
We're committed to building a diverse team and welcome applications from all backgrounds. Different perspectives make our product and our team stronger.
Hiring proces:
We like to keep things simple and transparent. Here’s what you can expect:
Round 1 – Introduction & mutual fit
An informal conversation where we get to know each other. We’ll talk about your experience, what excites you, and give you a clear picture of OPENRED and the role.
Round 2 – Deep dive & technical discussion
A more in-depth session with the team. We’ll go deeper into your experience with data pipelines, cloud, and AI/ML. This can include discussing past projects or walking through a practical case.
Final step – Offer & alignment
If there’s a strong match, we’ll discuss the employment terms, answer any remaining questions, and align on expectations from both sides.
We know not everyone checks every box. If this role excites you, we’d still love to hear from you.
Getting excited?
Send your CV and, if you like, share some examples of data pipelines, cloud architectures, or AI/ML projects you've worked on. Links to GitHub, a portfolio, or a short write-up all work great. Don't have a polished portfolio? No problem, just tell us what you've been working on and what you're excited about.