Lead AI Data Scientist

ABOUT HEATSEEKER

Heatseeker is redefining market research. We help businesses move fast and make smarter decisions with quick, live A/B tests that deliver real insights — straight from their target audience.

Heatseeker isn't just an app, it's a full-scale market research solution for scale-ups and enterprises. We give customers the power to validate ideas faster, avoid product flops, and stay ahead of the competition. The result? Winning strategies, stronger messaging, and confident decisions—all backed by real market data.

Our Culture

We're a close-knit team of ambitious people who take pride in building a world-class product. Innovation, creativity, and design are at our core. We care deeply about our customers and push ourselves to do better every time.

We leverage the latest in technology, design, and AI to create impactful experiences at an unbeatable value. Our ambition? To make Heatseeker a brand that's not just trusted, but loved.

ABOUT THE ROLE

We're looking for a
Lead AI Data Scientist
to help turn our mountain of market experiment data into razor-sharp insights that power better product and marketing decisions — for us and for our customers.

This is not your typical analytics gig. You'll be part data detective, part AI whisperer, mixing traditional stats with bleeding-edge AI tools (think LLMs, eval pipelines, and prompt engineering) to unlock insights no spreadsheet ever could.

You'll be deeply embedded in our product squad and work shoulder-to-shoulder with engineering, design, and customer teams to build features, refine models, and make our AI-powered insights smarter, faster, and more impactful.

What You'll Do

• Drive the science and methods behind Heatseeker's AI-driven market insights.
• Unearth insights from product and customer data, spotting trends, patterns, and outliers that drive strategy.
• Run rigorous A/B tests and statistical analyses, and distill it all down into crystal-clear takeaways.
• Design and optimize prompt workflows and eval pipelines to supercharge our LLM-driven insights.
• Use generative AI to connect the dots between qualitative and quantitative data, and surface stories others can't see.
• Collaborate closely with product, engineering, and design to turn insights into action.
• Help build the AI and Data Science functions at Heatseeker as we scale.
• Stay on the bleeding edge of AI and analytics. Propose bold ideas. Test them. Make them real.

What We're Looking For

• Data Savvy:
  You know your way around A/B tests, pivot tables, regressions, and significance testing. DBs and vector algorithms are second nature.
• LLM-Native:
  You've worked hands-on with OpenAI APIs, Claude, Google Vertex, and others. You can craft great prompts and are a pro at eval pipelines.
• Product Mindset:
  You're not just chasing interesting numbers, you're chasing meaningful outcomes for our customers.
• Creative Collaborator:
  You thrive in cross-functional teams, turning complex data into a shared language everyone can rally around.
• Startup Spirit:
  You're hands-on, proactive, and love building in the chaos. Ambiguity doesn't scare you, it motivates you.
• Builder Energy:
  You automate the boring stuff. You improve systems. You make everything scalable.

Why You'll Love This Role

• Massive Impact:
  Your insights will shape the future of Heatseeker and the products we help our customers build.
• Growth, Your Way:
  Whether you want to be an AI guru, a product analytics lead, or a full-stack data strategist, we'll back your path.
• Innovation Playground:
  Work with cutting-edge tools and ideas. Experiment, fail fast, and push the boundaries of what data can do.
• Autonomy & Ownership:
  We'll give you the goals, the tools, and the freedom to blow us away.
• An Incredible Team:
  Ambitious, kind, curious people who are here to build something extraordinary—and have fun doing it.

JOIN US AT HEATSEEKER

If the idea of shaping a high-growth startup from the ground up lights you up—and you love building powerful tools that make a difference—we want to hear from you.

Send us your resume, portfolio or GitHub (if you've got one), and a few words about why this role excites you. Let's build something amazing together.