Steadily
Staff Applied Data Scientist
Austin, TX · Staff+ · Full-time
No sponsorshipDetected 125 days ago
PythonMachine LearningData ScienceActuarial Science
About the role
- We operate across data types including public, proprietary and a large volume of image data.
- You balance speed and quality, making thoughtful trade-offs to solve problems effectively.
Responsibilities
- Design, build and evolve data sets and models with an emphasis on scalability, quality and maintainability, identifying the appropriate technique and approach to meet the needs of the business.
- Own and lead exploration and implementation of new areas of science application in our product ecosystem to better predict risk both on a per-insured level and in aggregate across the entire portfolio.
- Partner closely with Engineering, Product, Operations and Business teams to design reliable solutions across systems.
- 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.
- Strong backing. We're growing fast, we manage over $20 billion in risk, and we're exceptionally well-funded.
- We're growing fast, we manage over $20 billion in risk, and we're exceptionally well-funded.
Requirements
- 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.
- 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.
Nice to have
- Actuarial experience, or experience applying models to risk evaluation and aggregation problems.
- Applicants must be authorized to work in the United States.
- 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.
- Experienced: 5+ years experience applying Data Science methods to production problems.
Compensation
- Top of market salary + equity
- 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.
- This is a full-time, in-office position based in Austin, TX
Benefits
- Compensation: Top of market salary + equity
- Time Off: 3 weeks PTO + 6 federal holidays
- Insurance: Medical, dental, vision, life, disability, HSA, FSA
- Retirement: 401(k)
- Perks: Free snacks, team lunches, collaborative office culture
- Growth opportunity: We're an early-stage, fast-growing company where you'll wear a lot of hats and shape product decisions.
Company info
- 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 http://steadily.com/culture to learn what we're all about.
Visa & Work Authorization
- Applicants must be authorized to work in the United States.
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This listing is sourced directly from Steadily's careers page and normalized into a canonical job model.