Maven Clinic: Senior Decision Scientist, Measurement & Insights — New York, NY; Remote, US (Hub cities)

Maven Clinic lists a Senior Decision Scientist, Measurement & Insights opening in New York, NY; Remote, US (Hub cities). The job description covers Python, SQL, Tableau, AI, GLP, insurance, investment.

Recruitment overview

OrganisationMaven Clinic
Post / roleSenior Decision Scientist, Measurement & Insights
DepartmentBusiness Intelligence
Employment typeNot specified
Notification / job ID8791893002
Job locationNew York, NY; Remote, US (Hub cities)
Work arrangementRemote
Educational qualificationDegree / qualification: Also be entitled to receive equity and benefits
Experience required5+ years of relevant analytics or data science experience, with a track record of cross-functional or cross-surface work
Salary / stipendSee employer notice for pay details
Last date to applySee official notice

About Maven Clinic

Maven Clinic provides virtual women's and family healthcare. Its employer introduction describes programmes spanning fertility and family building, maternity and newborn care, parenting and paediatrics, and menopause and midlife. It serves members through employer and health-plan programmes as well as a consumer platform. The described care model brings virtual access together with support around different life stages, while care-coordination roles help members navigate services and turn clinical recommendations into practical next steps.

The position and its setting

Maven Clinic lists Senior Decision Scientist, Measurement & Insights in New York, NY; Remote, US (Hub cities), under reference 8791893002. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

  • Department: Business Intelligence
  • Employer listing date: 10 September 2026

Responsibilities and work described

  • 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
  • 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
  • Establishment: the shared language, standards, and best practices that make the whole team faster and sharper—mentoring other analysts along the way

Essential requirements and candidate background

  • 5+ years of relevant analytics or data science experience, with a track record of cross-functional or cross-surface work
  • Fluency: SQL, DBT, and a background in data visualization
  • Proficiency: at least one BI tool (Tableau, Looker)
  • Experience: Python or R
  • 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
  • Collaboration and communication skills, with a ability to turn data into direction for cross-functional stakeholders

Preferred experience and additional strengths

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

Location, schedule and contract conditions

For this overseas or regional listing, confirm work authorisation and any location restrictions with the employer. The location does not establish visa sponsorship or permission to work remotely from India.

  • The base salary range for this role is $174,000 - $205,000 per year
  • 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
  • Work arrangement: Remote
  • Advertised location: New York, NY; Remote, US (Hub cities)

Benefits mentioned by the employer

  • Our benefits are designed to support your health, well-being and career development, helping you thrive both personally and professionally
  • We remain focused on providing a competitive benefits package for our employees
  • On top of standards such as employer-covered health, dental, and insurance plan options, we offer an inclusive approach to benefits:
  • Maven for Mavens: access to the full platform and specialists, including care for mental health, reproductive health, family planning and pediatrics
  • Whole-self care through wellness partnerships
  • Hybrid work, in office meals, and work together days
  • 16 weeks 100% paid parental leave and new parent stipend (for Mavens who've been with us for 1 year+)
  • Annual professional development stipend and access to a personal career coach through Maven for Mavens
  • 401K matching for US-based employees, with immediate vesting
  • These benefits are applicable to Maven Clinic Co., US-based, full-time employees only. 1099/Contract Providers are ineligible for these benefits

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Senior Decision Scientist, Measurement & Insights vacancy is not an offer for reference 8791893002; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Maven Clinic

Applications follow the official employer page linked below.

Open the official Maven Clinic posting below and match the title and reference 8791893002.

Compare your qualifications and experience with the essential conditions for the New York, NY; Remote, US (Hub cities) position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: Python

Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.

Relevant skills

  • Python
  • SQL
  • AI/ML
  • Tableau
  • AI
  • GLP
  • insurance
  • investment
  • stakeholder management

Important links

Official notification / job descriptionOpen official page

Read the complete official notice before applying. Availability and requirements can change.

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