WorkGenius Group

Data Scientist III

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist III in the gaming/entertainment industry, located in Santa Monica, CA, for 12 months. Requires a Ph.D. or M.S. with relevant experience, proficiency in Python and SQL, and expertise in causal inference and longitudinal data analysis.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
848
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πŸ—“οΈ - Date
May 1, 2026
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
On-site
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Santa Monica, CA
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🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #Spark (Apache Spark) #Databricks #Data Science #Data Quality #Data Analysis #ML (Machine Learning) #SQL (Structured Query Language) #Statistics #Mathematics #Python #Datasets #AI (Artificial Intelligence)
Role description
Title: Data Scientist III Industry: Gaming/Entertainment Location: Santa Monica, CA Duration: 12 months Responsibilities β€’ Collaborate as part of a central insights team to develop frameworks that deepen the client’s understanding of player behavior and game dynamics. β€’ Formulate and test hypotheses about the relationships between player sentiment, engagement, and monetization, exploring both leading and lagging indicators. β€’ Conduct exploratory data analysis and build statistical models to connect complex sentiment data with player telemetry for the same audiences. β€’ Transform and prepare longitudinal survey and other complex datasets for robust analysis. β€’ Advise on survey design and methodology to optimize data quality and analysis potential. Requirements β€’ Ph.D. in Machine Learning, AI, Statistics, Mathematics, or a related quantitative field with 3+ years of relevant industry experience; or M.S. with 4–6+ years; or B.S. with 6–8+ years of relevant experience. β€’ Proficient in Python and SQL for large-scale data analysis, including work in distributed environments (e.g., Spark or Databricks). β€’ Experience in exploratory data analysis using both ordinal and continuous data to derive meaningful insights and inform business decisions. β€’ Expertise in causal inference methods applied to observational panel data (e.g., fixed effects, IPW). β€’ Strong background in modeling longitudinal sentiment data, including hierarchical or latent growth models. Skills β€’ Data Science β€’ Machine Learning β€’ Statistical Modeling β€’ Exploratory Data Analysis β€’ Survey Methodology β€’ Python β€’ SQL β€’ Causal Inference β€’ Longitudinal Data β€’ Game Dynamics Hourly rate is commensurate with experience and is an estimated range provided by WorkGenius. ref\_id: fac5dd8d-a8ab-46a8-9d1a-82d3f4fb075b