Senior Data Scientist
Top Benefits
About the role
Who you are
- If you’re hungry to make an impact and love solving complex problems with a scrappy crew, you’ll love it here
- 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
- Reporting directly to the Head of RTB, Thomas Boquet
- 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
Benefits
- Bonuses and equity opportunities
- Unlimited vacation time
- 100% employer-paid insurance for employee, 60% for dependents
- 401K plan
- Annual in-person retreats
About Trellis
Trellis Company is a mission-driven, nonprofit 501(c)(3) corporation that connects people to education-to-employment pathways that transform their lives. Our purpose is to develop and advance initiatives that grow individual economic mobility and expand community prosperity.
At Trellis, we actively promote diversity, equality, and belonging both at Trellis and throughout our family of companies. That extends to the relationships and interactions we have with our partners, our customers, and our community.
More About Trellis For more than 42 years, we have delivered positive outcomes for college students and higher ed institutions. We are now extending our commitment to the social good to reach a greater number of people and the communities where they live. Through our nationally recognized research services, specialized employee financial wellness programs, and workforce development collaboratives, we aim to increase individual economic mobility and expand community prosperity.
We build each other up to bring out the best in all of us.
Our Core Values • We do well by doing good • Our culture celebrates diversity, equity, and inclusion • We encourage exploration, experimentation, and innovation • Our work gives us fulfillment and purpose • We foster a sense of trust, servant leadership, and integrity • We succeed because we work together
Senior Data Scientist
Top Benefits
About the role
Who you are
- If you’re hungry to make an impact and love solving complex problems with a scrappy crew, you’ll love it here
- 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
- Reporting directly to the Head of RTB, Thomas Boquet
- 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
Benefits
- Bonuses and equity opportunities
- Unlimited vacation time
- 100% employer-paid insurance for employee, 60% for dependents
- 401K plan
- Annual in-person retreats
About Trellis
Trellis Company is a mission-driven, nonprofit 501(c)(3) corporation that connects people to education-to-employment pathways that transform their lives. Our purpose is to develop and advance initiatives that grow individual economic mobility and expand community prosperity.
At Trellis, we actively promote diversity, equality, and belonging both at Trellis and throughout our family of companies. That extends to the relationships and interactions we have with our partners, our customers, and our community.
More About Trellis For more than 42 years, we have delivered positive outcomes for college students and higher ed institutions. We are now extending our commitment to the social good to reach a greater number of people and the communities where they live. Through our nationally recognized research services, specialized employee financial wellness programs, and workforce development collaboratives, we aim to increase individual economic mobility and expand community prosperity.
We build each other up to bring out the best in all of us.
Our Core Values • We do well by doing good • Our culture celebrates diversity, equity, and inclusion • We encourage exploration, experimentation, and innovation • Our work gives us fulfillment and purpose • We foster a sense of trust, servant leadership, and integrity • We succeed because we work together