We're seeking a founding data scientist to build the analytical engine that powers location intelligence for enterprise retail brands. You'll report to our CTO and work directly with leadership to develop models, algorithms, and analyses that influence millions of dollars in real estate decisions.
What You’ll Do
- Build and productionize predictive spatial models
- Support customer real estate decisions with data-driven analysis
- Communicate insights clearly through geospatial visualizations
- Present findings directly to customers
- Collaborate with engineers to deploy your work
- Help establish modeling best practices and grow the DS function over time
Technical Skills We're Looking For
Must-haves:
- 3+ years building and deploying ML models in production
- Strong Python skills for data analysis and modeling (TF/PyTorch is a plus)
- Solid SQL skills for feature engineering
- Can present technical findings to non-technical stakeholders
- Track record of shipping models that created business impact
Bonus points for:
- Geospatial ML experience (H3, GeoPandas, Shapely, PostGIS)
- Built forecasting models for spatio-temporal data
- Worked with location-based businesses (retail, real estate, logistics)
- Experience with optimization algorithms
- MLOps practices (model versioning, monitoring, A/B testing)
- Early-stage startup experience
What we Offer
- Competitive cash compensation plus founding team equity with significant upside potential
- Direct impact on product and technical direction
- Comprehensive benefits package
- Professional development budget and conference attendance
- Flexible work environment - hybrid model with 3 days in our Cambridge, MA office and strong remote work policy for extended periods
- Modern data and ML stack - autonomy to choose the right tool