Senior Data Scientist

Job Description

Job Description

Trellis is a profitable, fast-growing Series A startup backed by General Catalyst, QED, NYCA, and Amex Ventures. We're reimagining how people shop for home and auto insurance, using smart technology to make something historically painful feel refreshingly easy.

Every day, we help people save time, money, and unnecessary headaches. Behind the scenes, our fully remote team moves fast, owns their craft, and builds products that genuinely make life better.

Led by a three-time fintech founder with a proven track record of going big, we're building something special, and we're just getting started.

If you're hungry to make an impact and love solving complex problems with a scrappy crew, you'll love it here.

About the Role

Trellis is hiring a Senior Data Scientist to drive exploratory analysis and model development for data-scarce and emerging problems in our Real-Time Bidding (RTB) and pricing systems. You'll focus on understanding the limits and potential of smaller datasets – helping the team quickly assess which projects are viable, what data needs to be improved, and where machine learning can scale impact.

You'll design and conduct exploratory studies, create transparent analytical reports, and build research-grade models that inform business decisions and evolve into production-ready systems. This role sits at the intersection of analytics, modeling, and product – collaborating closely with ML engineers, software engineers, and BI to turn ambiguous problems into scalable solutions.

This is a fully remote position, based in the US or Canada, reporting directly to the Head of RTB, Thomas Boquet.

We believe in paying competitively for great work. As a remote team, we set our salaries at the 75th percentile of national market data in our industry. You can count on your pay being in line with (or above) the market. For this role, the base salary range is $210,000-225,000. We review compensation twice a year to make sure we're staying competitive and rewarding our team's contributions.

What You'll Do

• Perform deep exploratory analysis to assess project feasibility and uncover data quality or coverage issues.
• Build clear, reproducible Jupyter or Colab notebooks that communicate insights visually and narratively.
• Partner with product and engineering to understand data generation processes and identify gaps.
• Develop statistical and ML models (scikit-learn, statsmodels, TensorFlow, PyTorch) for pricing and bidding use cases.
• Prototype predictive models that can be scaled by the ML engineering team into production systems.
• Leverage Vertex AI or equivalent tools for experimentation, training, and deployment workflows.
• Create visualizations using Python (Plotly, Matplotlib, or Seaborn) to communicate key findings effectively.
• Contribute to a culture of analytical rigor, documentation, and rapid experimentation.

What You'll Need

Pragmatic mindset — balancing research depth with real-world impact and iteration speed.

Why Trellis? Because life's too short for boring jobs.

We're a team of builders, dreamers, and doers reshaping an industry that touches every household in America. At Trellis, you'll have real ownership, meaningful impact, and the chance to grow alongside a company that's scaling fast.

Here's what makes Trellis an incredible place to build your career :

✨ A flat, transparent culture where your voice actually matters

🚀 Ground-floor opportunity with room to stretch and grow

💰 Compensation at the 75th+ percentile

🏡 100% remote... work from wherever you do your best thinking (In the US or Canada, that is)

🎉 Quarterly team events that keep our fully remote culture connected and fun

And yes, the perks are pretty great too :

🌴 Flexible vacation (seriously, we want you to take it)

🩺 100% employer-paid health insurance for employees (65% for dependents)

💻 Home office budget to set up your perfect workspace

💸 Automatic 401(k) contribution, FSAs, bonuses, and equity opportunities to invest in your future

👉 If you're looking for a place where you can do the best work of your career, while building something that actually matters, we'd love to meet you.