Senior Data Scientist in Boston

About the Role

Trellis is a profitable, fast‑growing Series A startup backed by General Catalyst, QED, NYCA, and Amex Ventures. We re‑imagine how people shop for home and auto insurance, using smart technology to make the historically painful experience refreshing and easy. Every day, we help people save time, money, and headaches. Our fully remote team moves fast, owns their craft, and builds products that genuinely make life better.

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.

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 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

Compensation

For this role, the base salary range is $210,000 – $225,000. We review compensation twice a year to ensure we remain competitive and reward contributions.

Why Trellis?

If you are 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.

To apply, press the Apply button and follow the application process.

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