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company: Sr. Data Analytics Engineer/Scientist – Machine Learning


Develop an analytic strategy by creating methodologies, algorithms and prototypes, and showing their value; build statistical models with large datasets to derive meaningful insights that effect actionable decisions.



Company: interactive entertainment software
Location: Greater Los Angeles, CA


Status: Permanent hire. No H1B services at this time.

Relocation, telecommute options for Principal, or Lead candidates.

_Contact_:
Contact: Vinesa Blackwell, Blackwell & Associates, Data Analytics Recruiters, San Francisco, LA vinesa@blackwellsearch.com , (415) 298-6844, or www.Linkedin.com/in/vblackwell/

As a member of the Game Analytics group, you will develop an analytic strategy by creating methodologies, algorithms and prototypes, and by demonstrating their value, build statistical models with large datasets to derive meaningful insights that effect actionable decisions.

The ideal candidate will be a seasoned statistician who wants to polish their statistical modeling skills in a fast-paced business environment and with a passion for video games. You are reliably able to qualitatively deduce and draw quantitative conclusions from player behavioral data, game design, play balance and player retention.

Digital game experience not required.

Drive exploration and analysis of large, complex data sets representing hundreds of millions of real-world play sessions. Establish the feasibility of critical studies, using tools and techniques to mine the data using machine learning and building predictive models.

Responsibilities:
  • Analyze gamer behavior and patterns to drive engagement strategies
  • Understand complex data attributes and constraints to develop efficient predictive/data mining models
  • Work with game developers to identify key performance metrics and benchmarks related to user behavior, user segmentation, and user retention
  • Work closely with the live game teams to optimize play balance, game economies, and to identify and close out exploits.
  • Mine current game data and user trends to inform the production of the next generation of products. Evaluate and quantify the effects of ongoing changes to games through statistical methods

 
Position Qualifications:
  • Proficient use of statistical analysis tools: R, SAS, SPSS, Python, KNIME
  • Working knowledge of SQL and data transformation
  • Knowledge of advanced analysis techniques, such as machine learning and data visualizations

 
Technical Requirements:
  • BA/BS degree required with technical focus (e.g. mathematics, computer science, physics)
  • MS or PhD degree preferred
  • 10+ years total experience in analytics.

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