Data Scientist​/Builder

Jobleads-US is hiring a Data Scientist for their new insurance startup, Stand, based in San Francisco, CA. The role involves leveraging advanced AI and physics models to assess climate risks, building scalable data infrastructure, and driving business impact. Candidates should have a strong foundation in machine learning, experience with geospatial data, and a passion for startups. This hands-on position requires ownership and adaptability in a fast-paced environment.
Position: Data Scientist (Builder)

Stand is a new insurance startup transforming how we assess, mitigate, and adapt to climate risks. Our leadership team has built billion-dollar ventures in insurtech, wildfire risk, and real estate. Now, we’re expanding our technical team to develop cutting-edge technologies that quantify climate risk at both the property and community levels. We’re hiring an exceptional Data Scientist to play a key role in this effort.

How to apply: Interested applicants can email Matt () sharing their resume and a short blurb about their interest in the position.
Background:

Homes and locations respond differently to climate catastrophes like wildfire, yet traditional insurance fails to capture these distinctions accurately. As a result, homeowners lack clear guidance on risk mitigation, and insurers overlook proactive measures.

At Stand, we combine deterministic physics models with advanced AI to bring property-specific risk intelligence into insurance decisions. This expands coverage eligibility, incentivizes proactive risk mitigation, and fosters a more sustainable relationship between communities and the environment.
The Role:

As a Data Scientist at Stand, you’ll play a key role in shaping our technical foundations and scaling our risk modeling efforts. Your work will center on leveraging the latest technology to drive core business priorities and deliver measurable enhancements to our processes.

This is an outcome-driven, hands-on role at an early-stage startup—expect to move fast, take full ownership, and deliver real-world results. The ideal candidate is a builder and problem solver who thrives in a dynamic, high-growth environment where priorities and roadmaps evolve rapidly.
What You'll Be Doing:
• Driving Immediate Business Impact: Leverage and fine-tune state-of-the-art models—from computer vision to agentic AI—to influence go-to-market strategies, accelerate customer acquisition, and enhance risk characterization.
• Building Scalable Data Infrastructure: Design data pipelines and data lakes to support real-time risk analytics.
• Owning End-to-End Solutions: Lead projects from prototyping to production, ensuring real-world results.
• Bridging Research and Business: Collaborate with cross-functional teams to translate technical advancements into strategic outcomes.Who You Are:
• A proactive, independent problem solver who thrives in fast-moving environments.
• Excited about startups—you want to build from scratch, move fast, and wear multiple hats.
• Strong ML foundation, with experience in geospatial data, computer vision, probabilistic modeling, and automation.
• Comfortable with both R&D and production deployment—you don’t just develop models; you ensure they deliver real-world value.
• Ownership-driven—you don’t want to be just a cog in a machine; you want your work to shape the business.
Qualifications:
• Experience in ML model development and deployment, with exposure to computer vision, geospatial data, agentic AI, and probabilistic modeling.
• Proficiency in ML frameworks (e.g., PyTorch, Tensor Flow) and agentic AI frameworks (e.g., Lang Chain).
• Proficiency in building models from scratch and fine-tuning advanced architectures.
• (Bonus) Experience in early-stage startups or roles requiring rapid iteration and experimentation.
• (Bonus) Familiarity with physics-based models (finite element, finite volume, finite difference).
Why Join Us?

High impact—your work will directly shape how homes and communities adapt to climate risk.

Industry-leading technology—blending AI, geospatial intelligence, and physics-based modeling.

Startup agility—help define and create game-changing solutions from scratch.

World-class team—collaborate with experts in insurtech, physics simulation and machine learning to forge a generational company redefining climate risk.
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