Senior Data Scientist, Trellis
Real-Time Bidding
$175k
Offers bonuses & equity opportunities
Ebedded insurance provider
Open for applications
Ebedded insurance provider
101-200 employees
Open for applications
$175k
Offers bonuses & equity opportunities
101-200 employees
Company mission
To simplify and automate shopping for home and auto insurance by applying technologies to save time and money for shoppers and insurers alike.
Role
Who you are
- 5+ years of experience as a data scientist or applied researcher, ideally in tech, fintech, or advertising
- 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
What the job involves
- 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 reporting directly to the Head of RTB, Thomas Boquet
- You'll 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
Our take
Changing insurance providers can be a confusing and time-consuming process, which is why many people end up sticking with policies that aren't quite right for them. Trellis was built to make this easier, offering a platform that lets users compare insurance options side-by-side. It also works with digital banks and financial platforms to present relevant insurance choices directly to customers.
Recently, Trellis was acquired by Gen Digital, the company behind brands like Norton and LifeLock. As part of the deal, Trellis' technology will be integrated into Gen's "Engine" platform, which helps users find financial products tailored to their needs. Meaning Trellis' tools will now reach a much larger audience and play a role in offering more personalized insurance recommendations.
The acquisition highlights a broader trend in finance, where services like insurance are increasingly built into the apps and platforms people already use. With Gen's scale behind it, Trellis is now in an even better position to grow and improve how customers discover and choose insurance products.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (2 rounds)
May 2022
$5m
EARLY VC
Jun 2021
$10m
SERIES A
Total funding: $15m
Company benefits
- Competitive Salary: We target above-market base salaries (75th percentile, US-wide), along with performance bonuses and equity opportunities, so you’re rewarded for your contributions and invested in our shared success.
- Fully Remote: We’re fully remote because we trust great people to do great work wherever they are. We strive to find top performers and provide an environment that allows them to do their best work.
- Investment in You: From a new laptop to a budget for your home office setup, we ensure you have what you need to do your best work. Plus, with quarterly team-bonding events, we stay connected and have some fun, too.
- Health: We invest 100% in health, life, and disability premiums for our employees and contribute 65% for dependents, so you and your family can have peace of mind.
- Retirement: After one year of service, employees are automatically enrolled in Trellis’ 401(k) plan, including a non-elective contribution by Trellis of 3% of your earnings.
- Unlimited Vacation Time: Take the time you need. We believe in working hard, but also trust you to rest and recharge.
Company HQ
Potrero Hill, San Francisco, CA
Leadership
Daniel Demetri
(Founder & CEO)Alongside serving as Trellis' CEO, Daniel is the VP/Head of Insurance Vertical at Gen. Previously, he co-founded Doma where he served as the CPO for 2 years. He also worked at Google for 3 years as an Associate Product Manager and Product Manager.
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