Staff Data Scientist

About Trellis

Trellis is rewriting the insurance experience from the inside out. We’re the tech company behind Savvy, our licensed insurance agency, and we’re bringing clarity and ease to a space known for… the opposite. With powerful tools, clean design, and a customer‑first mindset, we’re making insurance shopping refreshingly effortless.

We’re a profitable, fast‑growing Series A startup backed by General Catalyst, QED, NYCA, and Amex Ventures. As a remote‑first team, we move quickly, experiment boldly, and build with intention.

If you’re craving meaningful impact, energized by ambiguity, and are ready to build alongside exceptional teammates, you’re going to love doing your best work at Trellis.

About the Role

Trellis is hiring a Staff Data Scientist to lead exploratory analysis and model development for data‑scarce and emerging problems in our Real‑Time Bidding (RTB) and pricing systems. You’ll define the limits and potential of smaller datasets—driving how the team assesses which projects are viable, what data needs to be improved, and where machine learning can scale impact.

You’ll lead exploratory studies, set standards for analytical reporting, and drive the development of research‑grade models that inform business decisions and evolve into production‑ready systems. This role sits at the intersection of analytics, modeling, and product—aligning ML engineers, software engineers, and BI to turn ambiguous problems into scalable solutions.

Fully remote (US or Canada), reporting to the Head of RTB, Thomas Boquet.

Compensation

• Salaries set at the 75th percentile of national market data in our industry, reviewed twice a year.
• Competitive pay (or above market) with bonuses and equity opportunities.

What You’ll Do

• Own the analytical agenda—define which problems are worth pursuing, set feasibility criteria, and establish how the team evaluates project viability.
• Set the standard for analytical communication—define templates, review processes, and quality bars for insights documented in Jupyter or Colab notebooks.
• Drive alignment across product, engineering, and leadership on data strategy—surface gaps and influence roadmap decisions.
• Lead the modeling strategy for pricing and bidding—define technical approaches across the stack (scikit‑learn, statsmodels, TensorFlow, PyTorch), evaluate trade‑offs, and be accountable for measurable business outcomes.
• 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

• 7+ years of experience as a data scientist or applied researcher, ideally in tech, fintech, or advertising.
• 3+ years in a senior data‑science position.
• Ability to lead projects from conception through execution.
• Strong statistical foundation with hands‑on experience using scikit‑learn, statsmodels, TensorFlow, or PyTorch.
• Proven ability to perform exploratory data analysis (EDA) and communicate findings clearly through notebooks and visualizations.
• Experience using Vertex AI, SageMaker, or other ML lifecycle platforms for experimentation and model deployment.
• Fluency in SQL and Python data tooling (pandas, NumPy, Plotly, etc.).
• Deep curiosity about how data is created, transformed, and used to drive business outcomes.
• Pragmatic mindset—balancing research depth with real‑world impact and iteration speed.

Why Trellis?

• Transparent, collaborative culture where ideas win, not titles.
• Big opportunities to take ownership and chart your growth.
• Competitive compensation (75th + percentile).
• Fully remote across the US & Canada.
• Quarterly virtual and/or in‑person events that keep us connected.

Benefits

• Flexible vacation (yes, actually flexible).
• Health insurance starts day one.
• Wellness programming.
• 401(k) and HSA contributions, FSAs, bonuses & equity opportunities.
• Paid parental leave.

---

We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
All employees must complete a background check prior to starting employment with Trellis or its subsidiaries.