Gametime is seeking a Senior Product Data Scientist to shape product strategy through data-driven insights, influencing key product decisions and driving the development of actionable metrics for long-term success in the live experiences and event ticket industry.
Requirements
- Expertise in A/B testing, causal inference, and experimental design (e.g., power analysis, sample size estimation, multivariate testing). Switchback testing is a plus.
- Experience with third-party tracking tools, such as Adobe Analytics, Segment, or mParticle and experience with supporting tagging and tracking for Analytics purposes.
- Deep understanding of marketplace user conversion funnels and experience in diagnosing growth opportunities within them.
- Proficient in Python/R and SQL for data analysis, model building, and reporting.
- Experience working with business intelligence data visualization software, such as Tableau or Sigma.
- 5+ years in data science, product analytics, or a related field, with a strong track record of influencing product decisions through data.
Responsibilities
- Lead the design, execution, and analysis of A/B tests and other causal inference methods to measure the impact of product changes.
- Define, monitor, and iterate on product success metrics to track growth, engagement, and retention.
- Translate complex statistical analyses into clear narratives that influence product strategy and executive decision-making.
- Work with data engineers to build scalable analytics solutions and empower product teams with self-serve tools.
- Guide junior data scientists and analysts, fostering a strong culture of data literacy and experimentation within the organization.
- Own experimentation frameworks.
- Drive the development of actionable metrics that guide long-term success.
Other
- Partner with product and business teams to shape roadmaps, define success metrics, and ensure a data-driven approach to decision-making.
- Act as a thought leader in product analytics, helping to prioritize features and experiments based on rigorous data insights.
- Ability to own and drive product analytics strategy, proactively identifying opportunities for impact.
- Ability to work cross-functionally with teams in marketing, supply, finance, and fan happiness to achieve broader business and marketing goals.
- Clear communicator capable of presenting technical findings and strategic recommendations to stakeholders across different teams.
