Senior Data Scientist

Guild is hiring a Senior Product Analytics Data Scientist.

The Opportunity

Guilds product organization is at an inflection pointand we need a data scientist who can ensure were building the right things measuring what matters and proving impact. As our Senior Product Analytics Data Scientist youll be the strategic analytics partner for Grow Core and Payments Network with expanding scope into Academy and Navigator. Your work will directly shape product strategy by ensuring leaders have the insights they need to focus investments on high-return solutions validate that launches actually drive impact and create objective accountability across the business. Without this role our product and engineering efforts risk operating without understanding how our work affects members and the bottom line. This is your chance to change that.

Here are the outcomes you will be expected to achieve:

• Focus product investments on the highest-return solutions by providing actionable insights that inform roadmap prioritization
• Validate that product launches actually drive impact through rigorous experimentation and causal inference
• Create objective measures of accountability by defining and operationalizing KPIs that align business and mission incentives
• Enable a self-sufficient data-driven product culture where leaders can access the insights they need without bottlenecks

Heres what you will do in this role to achieve these outcomes:

• Proactively influence product strategy and roadmap decisions through narrative insights and recommendations
• Define logical KPI driver trees in partnership with Senior Directors of Product Management that drive aligned incentives
• Own and lead analytical standards for the product organizationdriving rigor across experimentation causal inference and descriptive analytics using Optimizely Segment and Fullstory
• Deliver dashboards and workflows that consistently provide value articulate performance and support prioritization decisions
• Consult with stakeholders on the feasibility and scope of reporting requests enabling self-service whenever possible
• Translate ambiguous questions into concrete analysis with clear narratives for non-technical audiences
• Manipulate and analyze complex datasets using Snowflake dbt Databricks and Looker/Omni
• Partner with Data Engineering to flag data quality issues request new events/metrics and define data requirements for existing and new products

You are probably a strong candidate for this role if youve accomplished:

• Partnered directly with product leaders to define KPIs and measurement frameworks that shaped roadmap decisions
• Designed and analyzed A/B tests or other causal inference methods that validated (or invalidated) product bets
• Built dashboards or reporting infrastructure that product teams actually used for ongoing decision-makingnot one-off analyses
• Translated messy ambiguous business questions into structured analyses with clear actionable takeaways
• Identified data quality issues or gaps and worked cross-functionally to resolve them

Here are the skills/competencies you have that will be needed to achieve the expected outcomes:

• Strong proficiency in SQL and experience with modern data tools (Snowflake dbt Databricks Looker or similar)
• Expertise in experimentation design causal inference and statistical rigor
• Ability to define meaningful KPIs and connect them to business outcomes through logical frameworks
• Experience with product analytics tooling (Optimizely Segment Fullstory Amplitude or similar)
• Strong communication skillsable to craft clear narratives for non-technical stakeholders
• Consultative mindset: you scope requests push back when needed and deliver what stakeholders actually need
• Comfort with ambiguity and the ability to structure problems independently

We are committed to equal pay for equal work and believe in compensation transparency. All salary ranges are standardized nationwide and will not vary by region. This role offers a competitive total compensation package including a base salary of $120000 - $140000 and stock options. Compensation offered will be based on a combination of factors such as experience competencies and internal equity.

Posting Date: January 27 2026

*This role will stay open for a minimum of 3 days.