Senior Data Scientist, Places

Location: Remote

Company

hirify.global is a technology company whose hirify.global and Places apps provide discovery and access to people and places through a curated, membership-based community focused on trust and authenticity.

What you will do

• Define and evolve success metrics for user-facing surfaces, balancing short-term and long-term member value.
• Maintain business metrics, semantic layers, and data models that provide consistent and trusted insights.
• Partner with Data Engineering and product engineering to translate product requirements into scalable, reliable data assets.
• Identify opportunities to improve retention and translate analytical insights into product and roadmap recommendations.
• Build a high-fidelity experimentation culture and use visualizations to communicate nuanced findings clearly.
• Use LLMs, agents, and modern AI tools to automate analysis, accelerate experimentation, and build decision-support workflows.

Requirements

• 5+ years of data science and product analytics experience.
• BS and/or MS in a quantitative discipline such as statistics, operations research, computer science, engineering, applied mathematics, physics, or economics.
• Experience delivering data products in partnership with Data and product engineering teams.
• Strong technical fluency with SQL and Python, or equivalent experience using data to answer open-ended business questions.
• Strong applied statistics background, including hypothesis testing, confidence intervals, power analysis, and causal inference techniques.
• Familiarity with modern analytics and experimentation tools.
• Experience with consumer-focused products.
• Proactive verbal and written communication skills, including the ability to explain rigorous statistical concepts to non-experts.
• Practical AI fluency and curiosity about improving analytical workflows, strategic synthesis, and decision support with modern AI tools.

Nice to have

• Familiarity with optimization of performance marketing efforts.

Culture & Benefits

• Full-time remote role.
• Work in a product environment with a start-up-oriented culture and significant leadership investment in Places.
• Join as the first dedicated Data Scientist for the Places product, supported by a dedicated Data Engineer.
• Help establish how the team uses data and insights from the ground up.