Staff Data Scientist (Pricing)

Location: San Diego, CA or San Francisco, CA; candidates considered for this role will be located in the San Francisco Bay Area with an in-office requirement of 3x a week.

Annual U.S. salary range: $179,500–$269,500, plus equity and benefits. Geolocation differentials may apply.

Company

hirify.global operates a community fundraising platform that helps individuals and nonprofits raise support and make donations safely.

What you will do

• Own donation pricing and amount optimization across product surfaces, balancing conversion, donation amounts, and long-term donor trust.
• Develop economic, behavioral, machine learning, and AI-driven models to understand donor decisions, estimate elasticity, and predict responses to product changes.
• Model sparse and indirect behavioral signals such as navigation, hesitation, device, timing, and context.
• Design adaptive systems using experimentation feedback, contextual bandits, and sequential decision-making where appropriate.
• Lead experimentation and causal measurement with Product and Engineering, ensuring models are interpretable and safe to deploy at scale.
• Translate complex analyses into deployable models, product recommendations, business impact, and technical best practices while mentoring data scientists.

Requirements

• Ph.D. in Economics, Applied Economics, or a related quantitative field, or 8+ years of industry experience in data science, applied economics, pricing, marketplace optimization, or monetization.
• Deep experience with economic reasoning, causal inference, behavioral modeling, price elasticity, choice modeling, and decision science.
• Experience designing and interpreting experiments and working with noisy, sparse, or non-transactional behavioral data.
• Advanced proficiency in Python, including pandas, NumPy, scikit-learn, and PyMC/Stan or equivalent, plus SQL.
• Experience using modern AI tools, coding agents, and LLM-based or AI-assisted solutions for feature extraction, experimentation, simulation, or model orchestration.
• Ability to work in the San Francisco Bay Area and attend the office three times per week.

Nice to have

• Experience in consumer pricing, marketplaces, digital payments, or donations.
• Experience productionizing and monitoring models and AI-driven systems with Engineering.
• Familiarity with Snowflake, Databricks, experimentation infrastructure, model versioning, and validation.
• Strong data visualization, documentation, and executive-ready presentation skills.

Culture & Benefits

• Mission-driven work supporting people and nonprofits.
• Competitive pay, equity, healthcare, dental, vision, life insurance, and a 401(k) savings program.
• Hybrid-work financial assistance, family-planning support, generous parental leave, flexible time off, and mental health resources.
• Learning, development, recognition, volunteering, diversity, equity, and inclusion programs.
• Collaborative and fast-paced working environment.