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 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.
Requirements
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.
Benefits
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
Wellness events throughout the year, because we believe in investing in the full human, not just the employee
Automatic 401(k) contribution, FSAs, bonuses, and equity opportunities to invest in your future
Paid parental leave
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data scienceexploratory data analysisstatistical analysismachine learningmodel developmentscikit-learnstatsmodelsTensorFlowPyTorchSQL