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You will play a key technical role on our Engineering team, identifying and evaluating trends, insights across large data sets and where having more refined data or internal ML/AI models could improve our product outcomes or operations. You’ll own building, evaluating, and deploying these models to production and monitor for quality and accuracy over time to prevent regressions and ensure continued relevance. We operate across data types including public, proprietary and a large volume of image data. You’ll operate with a high degree of autonomy and serve as a trusted technical owner for business problems across the organization. Steadily is still early in our exploration and application of where AI/ML models can drive the biggest business value, so this role is ideal for Scientists who like operating in ambiguous environments and to explore where the most impactful focus and methods should be applied.
This is a full-time, in-office position based in Austin, TX
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Overland Park, USA
Overland Park, USA
Overland Park, USA
Austin, USA
Overland Park, USA
Overland Park, USA
Overland Park, USA
Overland Park, USA
Overland Park, USA
Overland Park, USA
Overland Park, USA
Austin, USA
Experienced: 5+ years experience applying Data Science methods to production problems. We expect you to be able to dive into a complex codebase without too much spin-up. Past experience as a team lead is definitely a plus.
Builder: You like the product-side of data and think about how to apply modeling and evaluation techniques to real-world problems. You have thoughtful opinions about where the data leads and how to maximize the business impact of your work.
Pragmatic: We prioritize impact and delivery. You balance speed and quality, making thoughtful trade-offs to solve problems effectively. You leverage off-the-shelf solutions so we don’t re-invent the wheel but understand when a custom solution is appropriate.
Curious: you are not just an order-taker... you are curious about what makes the business tick and you learn the intricacies of how it runs. This results in strong intuition for when analysis is wrong and leads you to suggest ideas and insights that nobody thought to ask for. You’re not the type of scientist who wants fully fleshed-out specs thrown over the wall for you to implement.
Nice to have:
Actuarial experience, or experience applying models to risk evaluation and aggregation problems.
Experience in vision photo analysis
Applicants must be authorized to work in the United States. We are unable to provide visa sponsorship at this time.
Good company. Our founders have three successful startups under their belt and have recruited a stellar team to match.
Top compensation . We pay at the top of the Austin market (see comp).
Growth opportunity : We’re an early-stage, fast-growing company where you’ll wear a lot of hats and shape product decisions.
Strong backing . We’re growing fast, we manage over $20 billion in risk, and we’re exceptionally well-funded.
Culture : Steadily boasts a very unique culture that our teammates love. We call it like we see it and we’re nothing if not candid. Plus, we love to have a good time. Check out our culture deck to learn what we’re all about.
Awards : We’ve been recognized both locally and nationally as a top place to work. We were named a Top 2025 Startup in Newsweek , winner of Austin Business Journal’s Best Places to Work in 2025 , recognized in Investopedia’s Best Landlord Insurance Companies , ranked No. 6 on Inc’s list of Fastest Growing Regional Companies , 44th on Forbes’ 2025 Best Startup Employers list, and 63rd on the prestigious Inc 5000 Fastest Growing Companies list .
We’re excited to meet you!
Private U.S. insurtech providing landlord property, liability, and loss-of-rent insurance to rental property owners and investors.
Visit company websiteJobs and hiring trendsUSD 180000-360000 yearly / year
Full-time
Senior · 5+ years experience
Onsite
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