Staff Decision Scientist, Direct Revenue (AI Native)

Role overview Be the senior analytical partner to leaders responsible for subscription revenue, helping them decide how to package, price, and grow a membership business while protecting long-term customer value. The work centers on decision science: framing important questions, testing causal claims, and turning evidence into recommendations for executives. This is not a production machine-learning role; it focuses on statistical inference, experimentation, and business judgment.

Responsibilities - Advise revenue leaders on subscription growth opportunities and the evidence behind them. - Evaluate pricing, membership tiers, paywalls, trials, and upgrade or downgrade journeys, considering both immediate revenue and retention. - Size new offerings and bundles, design tests, and assess results after launch. - Inform international market choices and local pricing using willingness-to-pay, conversion, and retention evidence. - Use experiments and causal inference to measure effects on conversion, retention, and lifetime value. - Present clear, actionable narratives, challenge weak assumptions respectfully, mentor decision scientists, and help improve AI-supported analytics workflows.

Requirements - Strong experience in decision science, analytics, or a related discipline, with sound statistical and causal reasoning. - Ability to design and interpret experiments, including pricing or subscription tests, and distinguish causal impact from correlation. - Skill in translating complex analysis into concise recommendations for senior decision-makers. - Judgment to reframe questions, communicate uncertainty, and take accountability for analytical assumptions and conclusions. - Experience mentoring others or raising analytical standards across a team. - Ability to use AI tools to accelerate analysis while independently reviewing methods, assumptions, and outputs.

Benefits and work setup - Remote-first work within the United States or Canada. - Listed base salary ranges are USD $118,500–$218,500 for U.S. candidates and CAD $164,000–$193,500 for Canadian candidates; total compensation includes equity. - Benefits include health coverage, retirement plans, paid parental leave, flexible time off, company shutdowns, learning support, and remote-work equipment assistance.