Senior Decision Scientist, Measurement & Insights

Maven Clinic is the world's largest virtual clinic for women and families on a mission to make healthcare work for all of us. Through Maven Enterprise, the company partners with more than 2,300 employers and health plans to provide end-to-end women's and family health programs spanning fertility and family building, maternity and newborn care, parenting and pediatrics, and menopause and midlife — improving clinical outcomes, reducing healthcare costs, and expanding equitable access to high-quality care at scale.

Through its consumer platform, Maven provides direct access to virtual care across 30+ specialties, as well as dedicated hormone and GLP-1 care programs purpose-built for women. Founded in 2014 by CEO Kate Ryder, Maven Clinic has raised more than $425 million from leading healthcare and technology investors including General Catalyst, Sequoia, Dragoneer Investment Group, Oak HC/FT, StepStone Group, Icon Ventures, and Lux Capital.

Recognized for innovation and industry leadership, Maven has been named to the TIME100 Most Influential Companies, CNBC Disruptor 50, Fast Company's Most Innovative Companies, and FORTUNE Best Places to Work. Learn more at mavenclinic.com

An award-winning culture working towards an important mission –  Maven Clinic is a recipient of over 30 workplace and innovation awards, including:

• TIME 100 Most Influential Companies (2023, 2026)
• Fortune Change the World (2024)
• CNBC Disruptor 50 List (2022, 2023, 2024)
• Fortune Best Workplaces for Millennials (2024)
• Fortune Best Workplaces in Health Care (2024)
• Fast Company Most Innovative Companies (2020, 2023)
• Fortune Best Workplaces NY (2020, 2021, 2022, 2023, 2024)

About the role

This isn't a vertical-specific role. Maven is looking for an experienced decision scientist who works across the seams—connecting clinical product, member experience, and our AI and healthcare initiatives into one coherent story.

You'll tie the narrative together: building cross-functional reporting that gives every team a shared view of what's working and why, and partnering on the data architecture that makes the whole team faster. Instead of owning one surface, you'll work the connective tissue between them—surfacing insights that only appear when you look across the entire experience.

You're equally at home in the details of measurement and in the big-picture framing that turns data into direction. You know the highest-leverage work often isn't answering one question well—it's building the systems and shared language that let everyone answer their own questions better.

As a Senior Decision Scientist, you will:

Own our key cross-functional reports end to end—understanding not just how they're built but why each metric matters and how the teams that depend on them make decisions

Consolidate fragmented reporting into a coherent, shared view across clinical product, member experience, and our AI and healthcare work, so every team operates from the same source of truth

• Surface the insights that only become visible when you look across surfaces rather than within a single one, and translate them into clear direction for stakeholders
• Partner on the design of scalable data architecture (primarily using SQL and Python), reducing one-off requests and letting every team answer its own questions faster
• Define success metrics with partners across Product, Engineering, and Operations, and pair rigorous measurement with big-picture framing
• Establish the shared language, standards, and best practices that make the whole team faster and sharper—mentoring other analysts along the way

Minimum Qualifications:

• 5+ years of relevant analytics or data science experience, with a track record of cross-functional or cross-surface work
• Fluency in SQL, DBT,  and a strong background in data visualization
• Proficiency with at least one BI tool (Tableau, Looker)
• Hands-on experience with Python or R
• Demonstrated ability to design scalable data structures and reporting from both internal and 3rd party sources
• An ability to juggle long-term, strategic projects alongside ad hoc, urgent requests
• Excellent collaboration and communication skills, with a proven ability to turn data into direction for cross-functional stakeholders

Preferred Qualifications:

• Experience working with event-based data
• Knowledge of experimentation and/or statistical modeling
• Experience building shared measurement frameworks or semantic/metrics layers used across multiple teams

The base salary range for this role is $174,000 - $205,000 per year. You will also be entitled to receive equity and benefits. Individual pay decisions are based on a number of factors, including qualifications for the role, experience level, and skillset.

This role requires active work authorization in the US.

Maven embraces a flexible hybrid work model. Our teams primarily operate from the New York Metropolitan area, NY, and remotely via San Francisco/Bay Area, CA, Seattle, WA. For those in our New York City office, we encourage in-person collaboration by requiring team members to work onsite three days a week  (Tuesday, Wednesday, Thursday). For those based in Boston, DC, Chicago, Seattle, and San Francisco, we encourage in-person collaboration by requiring team members to attend monthly Work Together Days within these cities.

This policy aims to balance remote work flexibility with the benefits of face-to-face interaction.

At Maven we believe that a diverse set of backgrounds and experiences enrich our teams and allow us to achieve above and beyond our goals. If you do not have experience in all of the areas detailed above, we hope that you will share your unique background with us in your application and how it can be additive to our teams.