Senior Product Data Scientist, Gametime
$169.3-199.1k
Offers equity
Last-minute ticket platform
Open for applications
Last-minute ticket platform
201-500 employees
Open for applications
$169.3-199.1k
Offers equity
201-500 employees
Company mission
To connect people trough incredible shared experiences.
Role
Who you are
- The ideal candidate has hands-on experience in a mobile-first marketplace setting, and can thrive in a fast-paced, proactive, and dynamic environment
- 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
- 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
- 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
- Critical Thinking: Demonstrates strong critical thinking and decision-making abilities, especially under pressure
- Proactive: Proactive in identifying challenges and implementing solutions and embodies a proactive and “Always be Curious” mindset
What the job involves
- 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
- 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
Our take
Gamtime is a last-minute event ticketing platform that aims to stand out from the myriad of other similar apps by allowing customers to buy a ticket after the event has started. The reason for this is that ticket prices for sports often fall dramatically after the game has started, making the most of the easy-to-use, quick-buy app's features.
Though this may only cater to a small percentage of its customers, it exemplifies a certain boundary pushing from the company. This is clearly something that the market supports, given its substantial fundraising from the likes of Bolt Ventures and Maven Ventures. In addition, Gametime’s position as both a seller and buyer marketplace has placed it in a great position as a commentator on live events, collecting valuable data.
With the demand for great-value event tickets likely to continue to grow, Gametime is in a prime position to capitalize on this trend. Although the company only sells tickets for the North American continent, it is seeing huge revenue across the sports, theatre, and music concert markets - and aims to use its funds to further enhance its products and market its app to younger eventgoers.
Steph
Company Specialist at Welcome to the Jungle
Insights
38% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
May 2022
$30m
EARLY VC
Sep 2017
$8.2m
EARLY VC
Total funding: $71.5m
Company benefits
- Health Benefits: Medical, dental, and vision coverage for you and your dependents
- Equity: An ownership stake in the company you'll be helping to build
- Flexible PTO: 'Take what you need' vacation policy (we actually mean it)
- Remote First: Fully remote company
- Remote Work stipend: Monthly stipend to offset the cost of internet and any home office updates
- Paid Parental Leave: Peace of mind for parents to dedicate their time to the care of their new child
- Gametime Credit: Monthly Gametime credit to experience the product for yourself
- Team Celebrations: Company meetups and events in different cities across the US
Company HQ
Yerba Buena, San Francisco, CA
Leadership
Brad Griffith
(Founder & CEO)Currently Visiting Lecturer at Stanford Graduate School of Business. Previously worked in Growth, iOS Development and Interactive Marketing at Zappedy, and was a Quantitative Researcher at LOLapps.
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