Gametime is looking to optimize its pricing strategies and drive monetization and growth by leveraging data science, economics, and strategy. The goal is to ensure pricing is data-driven, rigorously tested, and aligned with customer value.
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.
- Experience in a consumer-facing marketplace, e-commerce, or SaaS environment.
- Familiarity with tools such as Looker, Amplitude, dbt, or in-house experimentation platforms.
Responsibilities
- Design, build, and maintain pricing and demand elasticity models using statistical and machine learning methods.
- Leverage behavioral, transactional, and marketplace data to optimize price points, discount strategies, and product bundling.
- Develop tools to support scenario modeling, revenue forecasting, and price testing simulations.
- Design A/B and multivariate experiments to test pricing changes, discount strategies, and offer configurations.
- Analyze test results with statistical rigor, including significance testing, confidence intervals, and causal inference techniques.
- Partner with experimentation platform owners to automate and scale pricing experiments across channels and customer segments.
- Conduct in-depth analyses of customer willingness to pay, price sensitivity, and competitor pricing strategies.
Other
- Highly analytical and business-savvy
- Lead experimentation efforts
- Uncover insights that power monetization and growth
- Work cross-functionally with Product, Analytics, Revenue, and Engineering
- Passionate about using data to influence pricing, product design, and long-term business outcomes
- Deliver insights on monetization opportunities, marketplace dynamics, and revenue optimization levers
- Partner with strategy and product teams to develop recommendations based on model outputs and empirical evidence
- Collaborate closely with Product Managers, Engineers, and Revenue teams to embed pricing intelligence into user experiences
- Translate complex technical findings into actionable business recommendations for stakeholders across the org
- Contribute to roadmap planning, strategic decision-making, and post-launch pricing reviews
- 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
- Degree in Data Science, Statistics, Economics, Applied Mathematics, or a related quantitative discipline (Master’s or PhD preferred).
- 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.
- We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our company.
