Data Scientist III

About the Role

Key Responsibilities

• Work as part of a central team to build insights and frameworks that improve our client's understanding of their players and games.
• Create and test hypotheses about the ways sentiment and engagement/monetization interrelate, including exploration of both leading and lagging relationships.
• Conduct exploratory data analysis and build models that connect complex sentiment with player telemetry data.
• Transform and prepare datasets, including longitudinal survey and other complex datasets, for analysis.
• Consult on survey design and methodology, to improve the chance of success with the above analyses.

Requirements

• Ph.D. in Machine Learning, AI, Statistics, Math, or related Computer Science/Quantitative field with 3+ years of industry experience, or equivalent experience.
• Proficiency using Python and SQL for large-scale data analysis in distributed computing environments.
• Experience conducting exploratory data analysis on ordinal and continuous data.
• Proficiency applying causal inference methods to observational panel data.
• Experience modeling longitudinal sentiment data, especially multi-item constructs.
• Skilled in preparing complex survey datasets, including handling multicollinearity, missing data, irregular time spacing, weighting, and reshaping wide/long data.

Qualifications

• 3+ years of industry experience with a Ph.D. in relevant fields or equivalent experience

Benefits & Perks

• Competitive compensation package
• Full Benefits; Medical, Vision, Dental, and more!
• Opportunity to get in with an industry leading organization
• Close-knit and team-oriented culture