Lead Decision Scientist, Product

About the role

You are a strategic thinker who owns the analytical narrative for your assigned product area and translates ambiguous problems into clear decision frameworks. You partner deeply with product and engineering to define what success looks like before a single line of code is written. You challenge assumptions by connecting user behavior to business outcomes through rigorous causal analysis. You are responsible for turning complex data patterns into a coherent story that leadership can act upon with confidence. You will shape the roadmap by identifying high-impact opportunities and explicitly calling out the tradeoffs of inaction. You ensure that the team's measurement strategy evolves as the product and users evolve. You act as the primary voice of data in key product discussions and influence resource allocation through evidence. You contribute to building an AI-native analytics environment by defining the workflows where automation enhances human judgment.

Key facts

What you'll do

Determine the analytical narrative for your area of responsibility and surface the gaps between data and team assumptions.

Present insights to leadership and cross-functional teams with clear narratives and a point of view that drive action.

Establish causality using A/B testing, analytics, and causal inference methods aligned with the specific business question.

Collaborate with data engineers to implement event instrumentation and with product teams to translate insights into action.

Work backward from the user experience to develop metrics strategies that reflect what matters most to users and the business.

Define and monitor key metrics that indicate product health and user value, adjusting as products evolve.

Partner with product, engineering, marketing, and finance to shape priorities and align on expected outcomes.

Evaluate the impact of product changes and experiments to inform future investment and prioritize high-leverage opportunities.

Translate ambiguous business problems into structured analytical approaches that lead to tested hypotheses.

Champion the use of data and testing to de-risk decisions and build trust with stakeholders.

Contribute to the AI-native analytics vision by designing workflows that leverage automation to free capacity for deeper analysis.

Represent the data and analytics perspective in high-stakes discussions where tradeoffs between speed, quality, and insight are critical.

Ensure that measurement practices keep pace with product complexity and changing user behaviors over time.

Translate technical findings into narratives that non-technical stakeholders can understand and act upon.

Requirements

Be eligible to work in the United States or Canada without sponsorship now or at the time of hire.

Have the right to work in the United States or Canada without restriction.

Have at least 8 years of relevant experience in analytics, data science, or a related field.

Have a strong track record of using data to drive product and business decisions.

Be comfortable working with qualitative context and quantitative analysis to form a complete picture of user behavior.

Be fluent in SQL and capable of writing complex queries to explore large datasets.

Be proficient in a statistical programming language such as R or Python for analysis and modeling.

Have experience designing experiments such as A/B tests and analyzing their results to draw causal conclusions.

Demonstrate the ability to communicate complex analytical concepts clearly to both technical and non-technical audiences.

Nice to have

Experience working in a remote-first, AI-native organization.

Background in mobile product analytics and tracking frameworks.

Experience building dashboards and data products for executive stakeholders.

Knowledge of machine learning concepts and their practical implications for product decisions.

Familiarity with causal inference methods beyond standard A/B testing.

Practical notes

This is a full-time position.

Work is remote within the United States and Canada.

No specific travel or visa requirements are outlined for this role.