Senior Product Data Scientist

About Us: Live experiences help people cross today’s digital divide and focus on what truly connects us – the here, the now, this once-in-a-lifetime moment that’s bringing us together. To fulfill Gametime’s mission of uniting the world through shared experiences, we make it easy for people to discover and access the live experiences that matter most.   With platforms on iOS, Android, mobile web and desktop supporting more than 60,000 events across the US and Canada, we are reimagining the event ticket industry in order to move at the speed of life.

The Role:

We are seeking a Senior Product Data Scientist to take a leadership role in shaping product strategy through data-driven insights. As a key partner to product managers, engineers, and business stakeholders, you will own experimentation frameworks, influence key product decisions, and drive the development of actionable metrics that guide long-term success.

This role requires a mix of product thinking, statistical expertise, and leadership to ensure our product decisions are based on sound data principles. As a senior team member, you will also mentor junior data scientists and contribute to best practices in experimentation, KPI development, and data storytelling.

The ideal candidate has hands-on experience in a mobile-first marketplace setting, and can thrive in a fast-paced, proactive, and dynamic environment.

 

Above & Beyond: The Impact You'll Make:

• Product Leadership: Partner with product and business teams to shape roadmaps, define success metrics, and ensure a data-driven approach to decision-making.
• Experimentation & Statistical Testing: Lead the design, execution, and analysis of A/B tests and other causal inference methods to measure the impact of product changes.
• KPI Development & Product Analytics: Define, monitor, and iterate on product success metrics to track growth, engagement, and retention.
• Data-Driven Storytelling: Translate complex statistical analyses into clear narratives that influence product strategy and executive decision-making.
• Cross-Functional Influence: Act as a thought leader in product analytics, helping to prioritize features and experiments based on rigorous data insights.
• Data Infrastructure & Enablement: Work with data engineers to build scalable analytics solutions and empower product teams with self-serve tools.
• Mentorship & Best Practices: Guide junior data scientists and analysts, fostering a strong culture of data literacy and experimentation within the organization.

 

One Team One Dream: What We Need to Work Together:

• Education: Bachelor's, Master’s, or PhD in a quantitative field (e.g., Statistics, Mathematics, Economics, Computer Science, Engineering).
• Experience: 5+ years in data science, product analytics, or a related field, with a strong track record of influencing product decisions through data.

Technical Skills:

• Experimentation: Expertise in A/B testing, causal inference, and experimental design (e.g., power analysis, sample size estimation, multivariate testing). Switchback testing is a plus.
• Measurement and Tracking: Experience with third-party tracking tools, such as Adobe Analytics, Segment, or mParticle and experience with supporting tagging and tracking for Analytics purposes. 
• Conversion Funnels: Deep understanding of marketplace user conversion funnels and experience in diagnosing growth opportunities within them. 
• Programming and Tooling: Proficient in Python/R and SQL for data analysis, model building, and reporting.
• Business Intelligence: Experience working with business intelligence data visualization software, such as Tableau or Sigma. 

Leadership & Communication Skills:

• Strategy: Ability to own and drive product analytics strategy, proactively identifying opportunities for impact.
• Collaboration: Ability to work cross-functionally with teams in marketing, supply, finance, and fan happiness to achieve broader business and marketing goals.
• Communication: Clear communicator capable of presenting technical findings and strategic recommendations to stakeholders across different teams.

Problem-Solving and Decision-Making:

• Critical Thinking: Demonstrates strong critical thinking and decision-making abilities, especially under pressure.
• Proactive: