Offer summary

Qualifications:

3-5+ years of experience in Data Science roles implementing predictive models., Strong understanding of recommendation algorithms and modeling techniques., Proven track record of owning production data science models end to end., Clear and concise written and verbal communication skills..

Key responsibilities:

Own the portfolio of predictive models from ideation to monitoring and iteration.

Continuously evaluate and improve the accuracy and business impact of existing models.

Identify and develop new models that drive better user outcomes and business results.

Partner with engineering and product teams to embed models into systems and decision-making flows.

Job description

Trellis is a profitable, fast-growing Series A startup backed by top investors like General Catalyst, QED, NYCA, and Amex Ventures.

Our mission: make shopping for home and auto insurance faster, smarter, and easier for everyday Americans. Powered by ML and GenAI, we help people find better insurance — saving them time, money, and stress.

We’re fully remote, built for speed, and led by a third-time fintech founder with a track record of building public companies.

If you move fast, take ownership, and care about your craft, you’ll thrive here.

About the Role

We’re looking for a Data Science Product Manager to lead the development, implementation, and ongoing improvement of predictive models that are core to the Trellis user experience. From deciding which ad to show to determining whether to route a user to our agency, your work will shape how users navigate our product, and how well we serve them.

This is a highly cross-functional role where you’ll collaborate closely with engineering and business stakeholders to turn messy, real-world data into clear insights and working models. You’ll need to balance technical depth with business acumen and thrive in a high-ownership, fast-paced environment.

This is a fully remote position, based in the US or Canada, and will report directly into Keith Schreer, VP of Data

What You'll Do:

Own our portfolio of predictive models from end to end: ideation, implementation, productionization, monitoring, and iteration
Continuously evaluate and improve the accuracy and business impact of existing models
Identify and develop new models that drive better user outcomes and business results
Partner with engineering and product teams to embed models into our systems and decision-making flows
Design and implement improvements to our data science processes and infrastructure
Help ensure model output is interpretable, actionable, and aligned with our KPIs
Answer this question in the open text box below: Would you rather always have perfectly clean data, but only 10 rows or 1 billion messy, unlabeled and incomplete records?

Who You Are:

3-5+ years of experience in Data Science roles implementing predictive models
Strong understanding of recommendation algorithms and modeling techniques
Proven track record of owning production data science models end to end, from discovering opportunities to implementing models to productionalization and monitoring.
Clear and concise written and verbal communication
Experience with Looker/LookML or other data visualization tools is a plus
Background in Fintech, Insurtech, or insurance is a plus

Trellis is a fantastic place to work

Join a talented, passionate team:

Flat, collaborative, transparent culture; get in at the ground floor and be a true business partner
Opportunities for growth and development within your role and all areas of the organization
75th-percentile (competitive!) compensation
100% remote work environment
Quarterly, fun team bonding events

Trellis additionally offers competitive benefits:

Unlimited vacation time
100% employer-paid Platinum-tier health insurance for employee, 65% for dependents
Flexible Spending Accounts (FSAs)
401(k) retirement savings plan
Bonuses and equity opportunities
Budget for home office equipment

Required profile