Product Data Scientist

TL;DR

Product Data Scientist (Data Science): Driving product strategy through rigorous experimentation and strategic analysis with an accent on A/B testing, causal inference, and marketplace dynamics. Focus on building scalable measurement frameworks, identifying high-value user signals, and translating complex analytical outputs into actionable product recommendations.

Location: London, United Kingdom (Remote)

Company

hirify.global is a global leader in travel guidance, connecting audiences with experiences, accommodations, and restaurants through a trusted two-sided marketplace.

What you will do

• Design and analyze A/B tests across the marketplace, applying sound statistical methods to support product decisions.
• Own the measurement framework for your product area, defining key metrics and building instrumentation to track them.
• Conduct deep-dive exploratory analyses to identify signals of high user lifetime value and inform product strategy.
• Enable self-service analytics by developing scalable datasets, dashboards, and reporting frameworks.
• Translate analytical findings into clear, actionable narratives for non-technical stakeholders.
• Act as a thought partner to product managers and engineers to ensure data-driven decision-making.

Requirements

• Several years of experience in a data science, analytics, or quantitative research role.
• Advanced SQL skills with hands-on experience querying and manipulating large datasets.
• Proficiency in Python for analysis, experimentation, and exploratory modeling.
• Experience with the full A/B testing lifecycle, from design to results interpretation.
• Strong data visualization skills using tools like Tableau or Looker.
• Ability to influence product decisions through data-driven insights and clear communication.

Nice to have

• Exposure to advanced statistical methods such as causal inference, propensity scoring, or Bayesian approaches.
• Familiarity with LLMs or NLP tooling for analytics use cases.
• Experience in travel, e-commerce, or two-sided marketplace dynamics.

Culture & Benefits

• Opportunity to work in a data-driven environment with a focus on growth and skill development.
• Collaborative culture emphasizing unbiased, rigorous analysis and evidence-based decision-making.
• Exposure to complex marketplace challenges and large-scale travel data.