Top Benefits
About the role
Who you are
- 7+ years of experience in Data Science roles implementing predictive models
- Proven Full-Stack Data Proficiency: end-to-end ownership of predictive models used in production
- Experience with recommendation systems, ad tech, or yield optimization models
- Expert proficiency in SQL and the ability to independently source, wrangle, and understand data across the full stack
- Business & Product Acumen: Strong ability to translate complex business problems (like optimizing revenue) into clear analytical questions and communicate insights/tradeoffs to non-technical stakeholders and external partners
- High Autonomy & Execution: Demonstrated capacity to operate with high autonomy, follow through on unowned problems, and thrive in a fast-paced, scrappy startup environment
- Communication: Clear, concise, and professional written and verbal communication for both internal alignment and external partner management
- Preferred: Experience with ML platforms (e.g., DataRobot) or a background in Ad Tech/Insurtech is a plus
What the job involves
- We are seeking a Data Science Product Manager, Yield Optimization to lead the development, implementation, and ongoing improvement of predictive models that are central to our marketplace and revenue generation by ensuring that we show the optimal offers to our users
- This critical role is focused on continuously improving decision-making for every individual user—from the moment they arrive to their final placement with an insurance provider—directly impacting funnel optimization and our revenue engine
- This is a highly cross-functional role where you will collaborate closely with internal Engineering and business stakeholders to turn messy, real-world data into clear insights and working models, while also interfacing externally with our ad and call buyers
- Success requires a blend of product ownership, business acumen, and full-stack data science proficiency to define problems, prioritize opportunities, and ensure the models you own drive maximum business impact
- Report directly into Keith Schreer, VP of Data
- Lead Product & Planning: Partner with Engineering and Business teams to seamlessly integrate models into our recommendation engine
- Own Predictive Model Roadmap: Drive the full lifecycle of our yield optimization models, from ideation and development to production monitoring and iteration
- Drive Revenue: Continuously evaluate and improve model accuracy and interpretability to directly impact key business KPIs like revenue and conversion rates
- Cultivate a Thriving Marketplace: Use sophisticated models to intelligently match users to the best offers, driving value for our internal agency and external buyers
- Drive External Partnership Success: Interface directly with external partners, ensuring mutual success and aligning model performance with partner goals
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
Top Benefits
About the role
Who you are
- 7+ years of experience in Data Science roles implementing predictive models
- Proven Full-Stack Data Proficiency: end-to-end ownership of predictive models used in production
- Experience with recommendation systems, ad tech, or yield optimization models
- Expert proficiency in SQL and the ability to independently source, wrangle, and understand data across the full stack
- Business & Product Acumen: Strong ability to translate complex business problems (like optimizing revenue) into clear analytical questions and communicate insights/tradeoffs to non-technical stakeholders and external partners
- High Autonomy & Execution: Demonstrated capacity to operate with high autonomy, follow through on unowned problems, and thrive in a fast-paced, scrappy startup environment
- Communication: Clear, concise, and professional written and verbal communication for both internal alignment and external partner management
- Preferred: Experience with ML platforms (e.g., DataRobot) or a background in Ad Tech/Insurtech is a plus
What the job involves
- We are seeking a Data Science Product Manager, Yield Optimization to lead the development, implementation, and ongoing improvement of predictive models that are central to our marketplace and revenue generation by ensuring that we show the optimal offers to our users
- This critical role is focused on continuously improving decision-making for every individual user—from the moment they arrive to their final placement with an insurance provider—directly impacting funnel optimization and our revenue engine
- This is a highly cross-functional role where you will collaborate closely with internal Engineering and business stakeholders to turn messy, real-world data into clear insights and working models, while also interfacing externally with our ad and call buyers
- Success requires a blend of product ownership, business acumen, and full-stack data science proficiency to define problems, prioritize opportunities, and ensure the models you own drive maximum business impact
- Report directly into Keith Schreer, VP of Data
- Lead Product & Planning: Partner with Engineering and Business teams to seamlessly integrate models into our recommendation engine
- Own Predictive Model Roadmap: Drive the full lifecycle of our yield optimization models, from ideation and development to production monitoring and iteration
- Drive Revenue: Continuously evaluate and improve model accuracy and interpretability to directly impact key business KPIs like revenue and conversion rates
- Cultivate a Thriving Marketplace: Use sophisticated models to intelligently match users to the best offers, driving value for our internal agency and external buyers
- Drive External Partnership Success: Interface directly with external partners, ensuring mutual success and aligning model performance with partner goals
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