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

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 the 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. The team brings together different backgrounds, nationalities, and perspectives, and values 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.

The company is in an exciting phase of 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 core features. You'll have the space to take initiative and help define how data science and engineering come together at OPENRED.

## Responsibilities

• Design, build, and maintain scalable data pipelines that ingest, transform, and serve real estate data across the 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

## Requirements

• 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)

## Nice to Have

• 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