Senior Data Scientist, Pricing

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July 6

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Gametime

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eCommerce • Entertainment • Sports

Gametime is a platform that offers last-minute ticket deals for sports, music, theater, and other live events. Users can access tickets for a wide range of events, including college football, concerts, comedy shows, theater performances, and professional sports leagues such as the NFL, NBA, MLB, NHL, and MLS. The platform emphasizes a user-friendly experience with features like all-in pricing to avoid hidden fees and a lowest price guarantee. Gametime aims to provide an easy and affordable way for users to experience live entertainment in various cities across North America.

201 - 500 employees

🛍️ eCommerce

⚽ Sports

📋 Description

• 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. • We are reimagining the event ticket industry in order to move at the speed of life. • We’re looking for a highly analytical and business-savvy Senior Pricing Data Scientist to join our Pricing Strategy team. • In this role, you’ll design and execute advanced pricing models, lead experimentation efforts, and uncover insights that power monetization and growth. • You’ll work cross-functionally with Product, Analytics, Revenue, and Engineering to ensure our pricing strategies are data-driven, rigorously tested, and aligned with customer value. • This is a high-impact opportunity for someone who thrives at the intersection of data science, economics, and strategy, and who is passionate about using data to influence pricing, product design, and long-term business outcomes.

🎯 Requirements

• 5+ years of experience in data science, pricing analytics, or quantitative strategy roles. • Advanced proficiency in Python or R, SQL, and statistical modeling techniques. • Strong experience with A/B testing frameworks and causal inference methods (e.g., regression, matching, difference-in-differences). • Solid understanding of pricing theory, elasticity modeling, and optimization. • Excellent problem-solving and critical thinking skills; able to distill ambiguity into structured analyses. • Business-oriented mindset with the ability to prioritize impact and communicate clearly with non-technical audiences. • Self-starter with a passion for experimentation and continuous improvement.

🏖️ Benefits

• Gametime is committed to bringing together individuals from different backgrounds and perspectives. • We strive to create an inclusive environment where everyone can thrive, feel a sense of belonging, and do great work together. • As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, veteran status, sex, parental status, gender identity or expression, transgender status, sexual orientation, national origin, age, disability or genetic information.