As the first Lead for Forward Deployed Data Science, you will bridge the gap between complex modeling and executive decision-making. You will lead a high-ownership team to build site-selection and market-planning models for major clients. This role combines hands-on data science with strategic relationship management to transform how multi-million dollar real estate deals are won.
Team Lead - Forward Deployed Data Science at GrowthFactor AI
GrowthFactor AI is revolutionizing commercial real estate as the Salesforce + Claude of the industry. We are looking for an architect-minded Team Lead to spearhead our Forward Deployed Data Science team. In this high-impact role, you will build and deploy geospatial forecasting models while managing executive-level client relationships. Founded by MIT alumni, GrowthFactor AI offers the chance to lead a first-of-its-kind data function at the intersection of AI and real estate. If you thrive on blending technical data science with strategic consulting to drive multi-million dollar decisions, join us in Cambridge or remotely.
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Location
Cambridge, United States / Remote
Compensation
$160k-$200k + Equity
Company
GrowthFactor AI
Role overview
Commercial real estate workflows are fragmented and broken. Teams make multi-million dollar decisions off of under-utilized data, and spend more time stitching patchwork data together than underwriting the deal. There’s little-to-no closed loop allowing teams to learn from their wins - and their misses. GrowthFactor was built by three MIT classmates to fix that.
GrowthFactor is building the Salesforce for Real Estate. The platform allows teams to collaborate on the data finding, tracking, and analysis process with each other and with our GrowthFactor Agent to move faster and win deals. We augment our customer’s teams with a best-in-class Forward-Deployed Data Scientist team, called our Labs team, which partners with our customers to build unbeatable data insights and forecasts.
There is no home for commercial real estate. When we win, GrowthFactor will be the place all commercial real estate happens.
What you will do
- Lead the forward-deployed team to oversee customer model buildouts, manage project timelines, and own high-stakes executive relationships.
- Build and deploy sophisticated forecasting models for site-selection, market planning, and tenant selection using geospatial data and AI agents.
- Communicate complex technical insights and pilot results to non-technical CXO stakeholders to drive customer acquisition and platform adoption.
Who this is a fit for
- Proven track record of delivering data science models to executive stakeholders with measurable results, preferably within a consulting or FDE environment.
- Deep expertise in building forecasting systems and working with geospatial data stacks like PostGIS, GeoJSON, and complex visualization tools.
- Strong background in business analytics and ensemble models, with a Bachelor’s degree in a technical field and 3+ years of experience.
Why this role is remarkable
- Join an MIT-founded pioneer as the first data science lead, shaping the team’s technical culture and strategic direction from the ground up.
- Work on a product-defining AI platform that serves as a centralized operating system for the global commercial real estate market.
- Experience high autonomy and ownership, managing your own calendar while delivering visible, measurable impact on high-stakes investment decisions.
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I get to know what you’re great at, then find roles you’d never find yourself.Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
I recruit from Jack’s network and make the intro when I spot a great match.And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
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What happens next?
Jack’s an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If your profile’s a match and GrowthFactor AI wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.