Senior Data Scientist - Pricing
Company
Gametime United
Location
Remote
Type
Full Time
Job Description
About the Role
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.
Key Responsibilities
Model Development & Optimization
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Design build and maintain pricing and demand elasticity models using statistical and machine learning methods.
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Leverage behavioral transactional and marketplace data to optimize price points discount strategies and product bundling.
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Develop tools to support scenario modeling revenue forecasting and price testing simulations.
Experimentation & Testing
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Design A/B and multivariate experiments to test pricing changes discount strategies and offer configurations.
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Analyze test results with statistical rigor including significance testing confidence intervals and causal inference techniques.
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Partner with experimentation platform owners to automate and scale pricing experiments across channels and customer segments.
Insight Generation & Strategy Support
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Conduct in-depth analyses of customer willingness to pay price sensitivity and competitor pricing strategies.
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Deliver insights on monetization opportunities marketplace dynamics and revenue optimization levers.
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Partner with strategy and product teams to develop recommendations based on model outputs and empirical evidence.
Cross-functional Collaboration
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Collaborate closely with Product Managers Engineers and Revenue teams to embed pricing intelligence into user experiences.
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Translate complex technical findings into actionable business recommendations for stakeholders across the org.
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Contribute to roadmap planning strategic decision-making and post-launch pricing reviews.
What You Bring
Required Qualifications
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5+ years of experience in data science pricing analytics or quantitative strategy roles.
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Advanced proficiency in Python or R SQL and statistical modeling techniques.
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Strong experience with A/B testing frameworks and causal inference methods (e.g. regression matching difference-in-differences).
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Solid understanding of pricing theory elasticity modeling and optimization.
Skills & Attributes
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Excellent problem-solving and critical thinking skills; able to distill ambiguity into structured analyses.
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Business-oriented mindset with the ability to prioritize impact and communicate clearly with non-technical audiences.
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Self-starter with a passion for experimentation and continuous improvement.
Preferred
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Degree in Data Science Statistics Economics Applied Mathematics or a related quantitative discipline (Master’s or PhD preferred).
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Experience in a consumer-facing marketplace e-commerce or SaaS environment.
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Familiarity with tools such as Looker Amplitude dbt or in-house experimentation platforms.
Why This Role Matters
Your work will help define how we price scale and monetize our products. By bringing science and experimentation to our pricing approach you’ll directly impact revenue growth customer satisfaction and strategic decision-making.
What We can Offer:
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Flexible PTO
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Competitive salary & equity package
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Monthly Gametime credits for any event ($1200/yr)
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Medical dental & vision insurance
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Life insurance and disability benefits
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Diverse Family-forming benefits through Carrot Fertility
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401k HSA pre-tax savings programs
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Company off-sites and meet-ups
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Wellness programs
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Tenure recognition
At Gametime pay ranges are subject to change and assigned to a job based on specific market median of similar jobs according to 3rd party salary benchmark surveys. Individual pay within that range can vary for several reasons including skills/capabilities experience and available budget.
United States - Pay Range
$140718—$165550 USD
Date Posted
11/12/2025
Views
0
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