Role Overview
Trellis is hiring a Staff Data Scientist, Real-Time Bidding. This is a full-time role in CA. Part of Trellis's Data Science hiring. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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Job Description
This a Full Remote job, the offer is available from: Canada
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, define the 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.
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. We review compensation twice a year to make sure we’re staying competitive and rewarding our team’s contributions.
What You’ll Do
- Own the analytical agenda — define which problems are worth pursuing, set the criteria for feasibility, and establish how the team evaluates project viability.
- Set the standard for analytical communication across the team — defining templates, review processes, and quality bars for how insights are documented and shared in Jupyter or Colab notebooks
- Drive alignment across product, engineering, and leadership on data strategy — proactively surfacing gaps and influencing roadmap decisions to address them.
- Lead the modeling strategy for pricing and bidding — defining the technical approach across the stack (scikit-learn, statsmodels, TensorFlow, PyTorch), evaluating tradeoffs, and being 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 of experience 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 visualization.
- 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? Because you deserve a career that’s exciting, meaningful, and surrounded by people who lift you up.
We’re a group of curious, mission-driven humans rewriting the insurance experience and having a lot of fun along the way. At Trellis, you’ll make a real impact on a product millions rely on, and grow alongside a company that’s scaling fast.
What sets Trellis apart:
✨ A 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
Plus, the benefits are built to support your whole life:
🌴 Flexible vacation (yes, actually flexible)
🩺 Health insurance starts day one
🧘 Wellness programming, because balance matters
💸 401(k) and HSA contributions, FSAs, bonuses & equity opportunities
🐣 Paid parental leave
👉 If you want a role where you’ll grow, be trusted, and build something that genuinely improves people’s lives, Trellis is the place. Join us.
We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Note: all employees must complete a background check prior to starting employment with Trellis or its subsidiaries
This offer from "Trellis" has been enriched by Jobgether.com and got a 78% flex score.
Frequently Asked Questions
How do I apply for the Staff Data Scientist, Real-Time Bidding position at Trellis?
Use the Apply button above to submit your application directly to Trellis. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Staff Data Scientist, Real-Time Bidding position at Trellis located?
This position is based in CA. Trellis has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a Staff Data Scientist, Real-Time Bidding at Trellis earn?
Trellis has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Staff Data Scientist, Real-Time Bidding role at Trellis posted?
This role was posted on April 7, 2026 (62 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
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