Manager, Data Science (Marketing)

Location: San Francisco Bay Area, United States; in-office three days per week

Salary: $202,000–$303,000 annual base salary, plus equity and benefits; pay may vary by work location, skills, experience, education, and training.

Company

hirify.global operates a community fundraising platform that connects individuals and nonprofits to help people support personal and social causes.

What you will do

• Build scalable data pipelines, reusable modeling frameworks, and experimentation platforms for marketing and growth decisions.
• Lead end-to-end data science and AI projects from requirements gathering through deployment and monitoring.
• Apply causal inference, uplift modeling, multi-touch attribution, media mix modeling, forecasting, and optimization to improve marketing efficiency.
• Develop budget allocation frameworks and ROI models for long-term planning and investment decisions.
• Partner with Marketing, Growth, Product, Engineering, and Finance leaders to connect analytics initiatives with revenue impact.
• Mentor and develop data scientists while evaluating generative and predictive AI for segmentation, personalization, creative optimization, and campaign efficiency.

Requirements

• 8+ years of data science experience with direct impact on marketing, growth, or revenue optimization.
• Master’s or Ph.D. in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, Physics, or Operations Research, or equivalent applied experience.
• Advanced Python and SQL proficiency; these skills will be tested during the interview process.
• Deep experience with A/B testing, causal inference, uplift modeling, attribution, forecasting, optimization, and marketing budget allocation.
• Hands-on experience with Snowflake or Databricks and BI tools such as Looker or Tableau.
• Strong executive communication, data storytelling, strategic planning, and people leadership skills.

Nice to have

• Experience with Optimizely, GrowthBook, Google Analytics, Amplitude, or similar experimentation and analytics platforms.
• Experience integrating Google, Meta, or programmatic marketing APIs.
• Exposure to generative AI, LLMs, multi-arm or contextual bandits, and adaptive experimentation.
• Familiarity with MLOps, version control, model monitoring, and scalable ETL frameworks.

Culture & Benefits

• Mission-driven work supporting people and nonprofits through community fundraising.
• Healthcare, dental, vision, life insurance, 401(k), equity, and competitive pay.
• Hybrid-work financial assistance, generous parental leave, flexible time off, and mental health and wellness resources.
• Learning, development, recognition, volunteering, diversity, equity, and inclusion programs.
• Collaborative environment focused on technical rigor, applied innovation, and employee growth.

Hiring process

• Advanced Python and SQL proficiency are assessed during the interview process.
• Reasonable accommodations and an alternative selection process are available upon request.