Manager, Data Science

TL;DR

Manager, Data Science (Data Science): Lead measurement, experimentation, and insight generation for hirify.global’s Rental Shopping shopping funnel with an accent on A/B testing frameworks, causal inference, and scalable consumer behavior modeling. Focus on translating statistical rigor into product decisions across search, discovery, applications, and lease conversion while building and mentoring a high-performing data science team.

Location: Remote (USA)

Salary: $160,500.00 - $256,500.00 annually (base pay range for certain states)

Company

hirify.global builds consumer-facing real estate products and analytics to help people discover and secure homes.

What you will do

• Define and scale long-term measurement strategy and experimentation frameworks across the shopping funnel (search, discovery, listing engagement, applications, lease conversion).
• Design incrementality and lift testing standards to quantify impact of product changes on renter outcomes.
• Drive consumer behavior and growth insights by integrating experimentation, causal inference, and predictive modeling into a coherent measurement framework.
• Lead and develop data scientists, setting expectations for scope/quality/business impact and coaching technical rigor and executive communication.
• Provide technical direction for production-grade analytics and modeling pipelines, including versioning, monitoring, and governance; reduce technical debt.
• Partner with senior Product, Engineering, and Business Strategy stakeholders to translate insights into product strategy and investment implications.

Requirements

• Location: Must be based in the United States (U.S. employees may live in any of the 50 states with limited exceptions).
• 6+ years of experience in data science/applied science/product or consumer analytics, including 2+ years mentoring or directly leading data scientists.
• Direct experience owning experimentation, funnel measurement, or product analytics in a consumer-facing product environment at scale.
• Strong understanding of A/B testing, causal inference, funnel optimization, and consumer behavior modeling.
• Experience with large-scale behavioral, clickstream, or marketplace datasets.
• Deep proficiency in SQL and Python; ability to integrate experimentation, observational causal methods, and predictive modeling into measurement frameworks.

Nice to have

• Experience in rental, real estate, or marketplace platforms.
• Exposure to recommendation systems, search ranking, or personalization analytics.
• Familiarity with Databricks, Snowflake, Airflow, or dbt.
• Understanding of privacy shifts and their impact on consumer analytics and measurement.

Culture & Benefits

• Remote role with no permanent corporate office workplace; work from a physical location of choice identified to the company.
• Base pay varies by location and is paired with equity awards based on experience, performance, and location.
• Emphasis on analytical rigor, executive communication, and translating insights into tangible product improvements.
• AI-enabled productivity with guardrails to protect rigor, data integrity, and governance.

Hiring process

• Interviews focused on measurement/experimentation leadership, technical depth, and ability to translate analytics into product and business outcomes.
• Assessment of people leadership experience and executive communication.