Senior Data Scientist (Advanced Analytics)

Location: New York, New York; hybrid role based in the New York City Office

Base wage: $166,000–$214,000 per year

Company

hirify.global provides HR solutions that help businesses manage and grow their operations through a data-driven SaaS product.

What you will do

• Lead end-to-end product analytics projects, from defining metrics through analysis and insight delivery.
• Partner with product leaders to define success metrics and analyze strategic opportunities for roadmap prioritization.
• Design and analyze A/B tests, quasi-experiments, and causal analyses to measure product changes and explain why outcomes occur.
• Identify friction and opportunities across onboarding, feature adoption, and retention, translating findings into actionable strategies.
• Build narratives and present findings to technical and non-technical audiences, including product teams and senior leadership.
• Develop AI-assisted approaches to analysis, insight delivery, and data workflows, while partnering with data engineering to improve instrumentation and data foundations.

Requirements

• 7+ years of experience as a data scientist or analyst, including experience driving business impact through statistical analysis, experimentation, and predictive modeling.
• Strong expertise in experimental design, causal inference, and statistical methods, with the ability to draw defensible conclusions from imperfect data.
• Excellent communication and data storytelling skills, with the ability to turn complex findings into narratives that influence strategy and decisions.
• Strong business acumen and ability to connect analysis with product strategy, roadmap tradeoffs, and business outcomes.
• Fluent SQL.
• Proficiency in Python for reproducible analysis, statistical modeling, experimentation, and automation.
• Familiarity with a cloud-based data stack such as Snowflake and dbt.
• Curiosity about AI tools and emerging technologies, with experience applying them to accelerate analysis, improve rigor, or expand the reach of data science.

Nice to have

• Prior experience in a high-growth startup or SaaS company.

Culture & Benefits

• Welcoming, casual, supportive, and entrepreneurial work environment.
• Benefits, wellness program offerings, and company retreats.
• Opportunities to learn from leaders in the startup community.
• Culture built around camaraderie, openness, grit, integrity, simplicity, collaboration, and knowledge-sharing.
• Inclusive workplace with reasonable accommodations for disabilities, sincerely held religious beliefs, and other covered reasons.