Sr Staff Data Scientist (Data Science/ML)

TL;DR

Sr Staff Data Scientist (Data Science/ML): Partnering with Customer Success, Product, Operations, and Engineering to enable exceptional customer experiences and durable business growth through data-driven insights, experimentation, and predictive intelligence with an accent on customer engagement, retention, experience quality, and operational effectiveness. Focus on shaping how Customer Success impact is measured at scale, lead advanced analytical and experimentation efforts, and influence strategy through rigorous insights and compelling data storytelling.

Location: San Diego, California; Mountain View, California

Salary: $197,500- 276,500

Company

hirify.global is the global financial technology platform that powers prosperity for the people and communities we serve.

What you will do

• Serve as a strategic analytics partner to Customer Success, Product, and Operations leaders, helping frame problems, define success metrics, and guide data-informed decision-making.
• Tackle ambiguous business questions by formulating hypotheses, designing analytical approaches, and synthesizing insights that inform strategy and execution.
• Design, execute, and interpret advanced experiments and causal analyses beyond traditional A/B testing.
• Develop and evolve scalable measurement frameworks for key Customer Success outcomes.
• Build predictive models and segmentation frameworks that improve targeting, prioritization, and personalization across customer success motions.
• Translate complex analyses into clear, actionable narratives for both technical and non-technical audiences, including senior leadership.

Requirements

• 7+ years of experience in data science, analytics, or applied research.
• Strong foundation in statistics, experimentation, and causal inference.
• Advanced proficiency in SQL and Python for data analysis, modeling, and experimentation.
• Proven ability to work with large, complex datasets and turn insights into concrete business decisions.
• Strong communication and data storytelling skills, with a track record of influencing cross-functional stakeholders.
• Bachelor’s degree in a quantitative field.

Nice to have

• Experience in SaaS, fintech, platform, or SMB-focused products.
• Familiarity with Customer Success concepts and metrics.
• Experience partnering closely with Product, Engineering, and AI/ML teams.
• Familiarity with BI and visualization tools.
• Exposure to Generative AI or LLM-powered analytics or customer-facing use cases.

Culture & Benefits

• Competitive compensation package with a strong pay for performance rewards approach.