Data Science and Machine Learning Product Manager (Remote)

Evio Overview

Evio is a highly unique pharmacy solutions company that was founded by and works closely with health plans to implement transformative (to cost, quality, access and experience) initiatives primarily focused on specialty and other high-cost medication solutions.

In 2020, a group of five amazing Blue Cross Blue Shield health plans that in total serve more than 20 million members recognized that the way medications get to patients needs significant reform—rapidly rising costs and massive system complexities are detrimental to patients and the entire industry. In 2025, Wellmark joined as Evio's first non-founding investor and sixth owner health plan. Each company made, and continues to make, significant investments to establish Evio as an independent entity to lead this transformation. 


Evio has advanced analytics and contracting capabilities at scale, and a suite of digital tools, to power our high-cost medication solutions. Our solutions act as a self-reinforcing "flywheel" where each element strengthens and feeds into the next, and support an "Only Evio can do that," mindset and prioritization.

Evio is also a company that has invested heavily in and been highly intentional about people, team and culture. We believe we have created a very special place to work and encourage candidates to observe and ask us about our culture and decide for themselves.

Evio's Values

• Empathy – The people our business serves always come first. We care for our teammates and put ourselves in the shoes of our health plan customers and the patients and clinicians our solutions benefit.
• Diversity – We are committed to fostering a culture where everyone belongs and is valued for their background, experience and insights – one that encourages diversity of ideas, and is a nurturing, trusting, and accepting place for all.
• Adventure – We are flexible, thrive in ambiguity, fail fast, and pivot quickly to get to a better answer. We celebrate wins and pivots with equal intensity.
• Relentless – Guided by evidence and data, we are creative, curious, and unwavering in our pursuit of challenging the status quo and each other.
• Transparency – Just as we seek to bring transparency to the pharmacy supply chain, authenticity and integrity are core to the way we communicate.
• Excellence – We strive to raise the bar in all we do by hiring and developing exceptional talent and holding ourselves and our thinking to the highest standard.

About the role

As a Data Science and Machine Learning (ML) Product Manager, you will lead the evolution, implementation, and customer success of Evio Compass.

Evio Compass is an analytic product that identifies patients who need timely attention due to clinical or financial risk to themselves or our health plan and/or health system clients. The product blends together patient, plan, provider data with clinical intelligence and data science to identify risks. These risks are stratified and prioritized for plan attention after validation by Evio clinicians to confirm actionability.

In this role, you will sit at the intersection of data science, product, and customer partnership. You'll guide the development of new data science, machine learning, and AI-driven algorithms, while continuously enhancing existing product features to deliver measurable value. You will develop a deep understanding of the problems our customers are trying to solve and serve as the voice of the customer for internal cross-functional teams to ensure the product is delivering meaningful outcomes and value for customers.

In addition, you will play a key role in advancing Evio's ML/AI strategy, helping to shape the future direction of Evio products and their value for customers.

What you will do

Product evolution

• Represent the customer in product evolution with a strong understanding of client priorities, challenges and opportunities
• Work closely with health plan customer counterparts in various subject matter areas like clinical, product, data, intervention, and finance
• Identify opportunities to improve existing algorithms and build new ones that better surface patient risk
• Create a framework for algorithm development, implementation, and measurement to guide end-to-end evolution
• Design, build, and execute in close collaboration with an internal team comprised of product managers, data scientists, ML engineers, clinicians, dev ops engineers, and software engineers
• Remain hands on and closely aligned with internal working team across the full lifecycle of model development: from defining the problem and acquiring data to tuning performance and launching into production
• Translate model outputs into clear risk identification/stratification/prioritization, optimal intervention modality assignment, outcomes measurements, etc.
• Establish a clear approach to measure and continuously improve product features

Product implementation and client success

• Serve as the primary product partner for clients, building