Staff Data Scientist, Marketing Analytics (Fintech)

Location: San Francisco, CA, USA; in-office four days per week with Fridays from home for employees near an office.

Base salary: $152,000–$210,000 USD per year, excluding potential bonuses, equity, and benefits.

Company

hirify.global is a financial technology company providing user-friendly financial tools and banking services designed to help members make financial progress.

What you will do

• Own the paid marketing performance narrative by tracking channel spend and results and explaining performance changes to non-technical stakeholders.
• Measure the effectiveness and long-term value of new-member sign-up offers using matched comparison groups.
• Define experimentation, causal inference, and offer evaluation standards.
• Improve marketing attribution systems and partner with Data Engineering to build and maintain them.
• Use Marketing Mix Model outputs to advise on budget allocation and estimate the impact of future marketing initiatives.
• Use AI tools in analytics work, create reusable solutions, coach senior data scientists, and guide contractors.

Requirements

• Bachelor’s degree and 10+ years of experience in analytics or data science, with deep experience in marketing, growth, or consumer products.
• Experience setting measurement strategy across multiple teams and designing marketing measurement systems from scratch.
• Deep expertise in attribution, incrementality, Marketing Mix Modeling, cost per acquisition, and LTV:CAC.
• Expert-level experimentation and causal inference skills, including adapting methods when standard approaches are unsuitable.
• Strong SQL skills and experience shaping data models and pipelines in large data warehouses, including Snowflake.
• Advanced Python or a similar analysis language.
• Experience using Marketing Mix Model output to guide budget decisions at significant scale.
• Hands-on experience introducing AI tools into team analytics workflows, with sound judgment about their limitations.
• Experience influencing VP-level and executive decisions without formal authority, resolving disagreements between stakeholders, communicating clearly with senior non-technical audiences, and mentoring senior data scientists.
• Comfort defining both the question and the approach for unprecedented problems.

Culture & Benefits

• In-office policy of four days per week with Fridays from home for employees near an office; a fully remote program is also available for eligible employees.
• Health, financial, wellbeing, backup care, commuter, family planning, and wellness benefits.
• Generous vacation policy, company-wide paid days off, and paid parental leave of up to 22 weeks for birthing parents and 12 weeks for non-birthing parents.
• Employees may use 1% of their time off to support local community organizations.
• Inclusive, entrepreneurial environment focused on financial progress for members.