Data Scientist​/Software Engineer

Open Position Data Scientist / Software Engineer

Remote / Hybrid (Portland, OR HQ)

Competitive Salary plus Equity

Full-time

Real estate development is a multi-billion-dollar industry that has run on fragmented data, manual processes, and gut instinct for decades. Prophetic is changing that. We're building the AI-native platform that enables homebuilders, developers, and investors to find, analyze, and act on land opportunities from a single system — powered by proprietary technologies that process billions of data points across all 50 states.

We are the market leader in our space, and our customers don't just use the product — they love it. We're not making teams more efficient. We're changing how they operate.

Prophetic is scaling fast — demand is outpacing our ability to hire, and we're just getting started. This is a once-in-a-lifetime team: sharp, low ego, deeply collaborative, and obsessed with building the best product in the industry. Come disrupt an industry with us.

Prophetic sits at the intersection of AI, geospatial intelligence, and real estate data — and we're looking for a Data Scientist / Software Engineer who can operate across all three. You'll build production-grade machine learning systems, predictive models, and data-driven features that power our platform's ability to help customers find, analyze, and act on land opportunities.

This is not a research-only role. You'll work across the full lifecycle — from exploratory analysis and model development to production deployment and monitoring. Your work will directly impact products like Search

AI, ZoneAI, SiteAI, and Dev Map, where data science capabilities translate into competitive advantages for our customers.

You’ll collaborate closely with our engineering and product teams to identify opportunities where machine learning and statistical modeling can improve platform intelligence. Whether it’s building classifiers for zoning document extraction, predictive models for development activity, or recommendation systems for parcel scoring, your contributions will be visible in the product from day one.

Our engineering team uses AI tooling daily — Cursor, Claude Code, and Copilot are standard. You’ll be expected to leverage these tools to accelerate your work while maintaining the rigor and quality that our enterprise customers depend on.

• Design, build, and deploy machine learning models and data science solutions that power platform features.
• Develop predictive models for development activity detection, parcel scoring, and market analysis.
• Build and optimize data pipelines for feature engineering, model training, and inference at scale.
• Work with large-scale geospatial datasets, parcel records, zoning data, and ownership information.
• Collaborate with product and engineering teams to identify high-impact opportunities for ML/AI-driven features.
• Monitor model performance in production and iterate on accuracy, latency, and reliability.
• Conduct exploratory data analysis to uncover patterns, validate hypotheses, and inform product decisions.
• Write production-quality code that integrates with the platform’s Python/Django and Type Script/React stack.
• Contribute to architecture discussions and help define best practices for ML systems at Prophetic.
• Use AI development tooling (Cursor, Claude Code, Copilot) as part of your daily workflow.

• 4+ years of experience in data science, machine learning engineering, or applied ML roles.
• Strong proficiency in Python and ML/data science libraries (scikit-learn, PyTorch, Tensor Flow, pandas, Num Py).
• Experience deploying ML models to production environments — not just notebooks.
• Strong SQL skills and experience working with large-scale relational databases (Postgre
  
  SQL preferred).
• Solid software engineering fundamentals — clean code, version control, testing, CI/CD.
• Experience with feature engineering, model evaluation, and iterative model improvement.
• Strong communication skills — you can explain technical approaches to non-technical stakeholders.
• Comfort with AI development tooling as part of your daily workflow.

• Experience with geospatial data and analysis…