Founding Data Scientist, Pricing & Monetization
$340,000–$380,000 year
RemoteUnited States or San Francisco, California, United States
Job Summary
Design analyses, models, and decision frameworks to guide pricing strategy across consumer, SMB, and enterprise segments. Build the analytical foundation for monetization by connecting customer behavior, product usage, and revenue outcomes to clear executive recommendations. Operate independently with the CFO and Head of Pricing to define repeatable decision systems, packaging approaches, and willingness-to-pay models. Translate technical work into practical operating guidance for cross-functional teams while establishing the roadmap and standards for the new pricing data science function.
Required Qualifications
- Significant experience in data science, analytics, economics, statistics, machine learning, or a related quantitative field
- Strong technical ability in analysis, modeling, experimentation, causal inference, and data-driven decision-making
- Experience working on pricing, monetization, marketplace dynamics, usage-based pricing, dynamic pricing, packaging, or adjacent high-complexity business problems
- Ability to operate independently in ambiguous environments, define analytical direction from scratch, and bring senior stakeholders along through clear tradeoff framing
- Strong written and verbal communication skills, including the ability to influence executive-level audiences and cross-functional operating teams
Desired Qualifications
- Prior pricing experience across consumer, SMB, enterprise, marketplace, platform, or AI/API businesses
- Experience building novel pricing models, systems, experimentation programs, or decision frameworks
- PhD preferred; a master's degree or equivalent practical experience can also be a strong fit
- Experience helping establish a new data science function, operating model, technical roadmap, or executive decision cadence
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