

Agility Partners
Data Scientist
β - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Scientist position for a Fortune 15 gaming organization in the greater Seattle area, with a contract length of "unknown" and a pay rate of "unknown." Requires 4+ years in Python, Databricks, and A/B testing, plus experience in digital monetization.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
680
-
ποΈ - Date
April 24, 2026
π - Duration
Unknown
-
ποΈ - Location
Unknown
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
Redmond, WA
-
π§ - Skills detailed
#Visualization #Data Science #Mathematics #A/B Testing #Data Processing #Python #Computer Science #Statistics #SQL (Structured Query Language) #Databricks #Strategy
Role description
Agility Partners is seeking a qualified Data Scientist to fill an open position with a Fortune 15 company based in the greater Seattle area. This role will support a leading gaming organization by delivering advanced analytics and monetization insights that improve player experiences, optimize digital revenue streams, and drive strategic business decisions.
Responsibilities:
Build and deploy advanced analytics models to optimize monetization across subscriptions, digital content sales, and creator-driven marketplaces
Design, execute, and analyze A/B tests related to pricing, user experience, recommendations, and discovery strategies
Develop LTV models, attribution frameworks, and causal inference analyses to measure business impact and player behavior
Partner with Product, Finance, and Marketing stakeholders to present insights, influence strategy, and drive data-informed decision making
Qualifications:
4+ years of experience with Python and Databricks for analytics, modeling, and large-scale data processing
5+ years of experience presenting insights and communicating effectively with technical and business stakeholders
4+ years of experience with attribution modeling, experimentation, and causal inference methods
Bachelorβs degree in Computer Science, Statistics, Economics, Mathematics, or related technical field
Strong SQL and data visualization skills with experience translating data into actionable business recommendations
Experience in digital monetization, subscription products, gaming, or consumer technology environments preferred
Strong problem-solving skills with the ability to balance revenue growth objectives with customer experience considerations
Agility Partners is seeking a qualified Data Scientist to fill an open position with a Fortune 15 company based in the greater Seattle area. This role will support a leading gaming organization by delivering advanced analytics and monetization insights that improve player experiences, optimize digital revenue streams, and drive strategic business decisions.
Responsibilities:
Build and deploy advanced analytics models to optimize monetization across subscriptions, digital content sales, and creator-driven marketplaces
Design, execute, and analyze A/B tests related to pricing, user experience, recommendations, and discovery strategies
Develop LTV models, attribution frameworks, and causal inference analyses to measure business impact and player behavior
Partner with Product, Finance, and Marketing stakeholders to present insights, influence strategy, and drive data-informed decision making
Qualifications:
4+ years of experience with Python and Databricks for analytics, modeling, and large-scale data processing
5+ years of experience presenting insights and communicating effectively with technical and business stakeholders
4+ years of experience with attribution modeling, experimentation, and causal inference methods
Bachelorβs degree in Computer Science, Statistics, Economics, Mathematics, or related technical field
Strong SQL and data visualization skills with experience translating data into actionable business recommendations
Experience in digital monetization, subscription products, gaming, or consumer technology environments preferred
Strong problem-solving skills with the ability to balance revenue growth objectives with customer experience considerations






