Analytics Internship Full-time Job

Analytics Internship

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Internship Opportunities

Machine Learning (Consumer Technology): Leverage data, game APIs, and creative marketing to build an engaging experience fplayers outside of the console PC, working on challenging projects that utilize your education and critical thinking abilities to have an impact on business initiatives, working on machine learning models, analyzing KPIs, participating in the design and code review process and partnering with other engineers in a collaborative environment. This internship is located in Los Angeles, CA. Understanding of data structures, data modeling and software architecture Deep knowledge of math, probability, statistics and algorithms Ability to write robust code in Python Familiarity with machine learning frameworks (like Keras , PyTorch, Tensorflow) and libraries (like scikit-learn)

Data Science (Franchise Models): Help Developerp and operationalize machine learning models that impact Game Operations, Marketing, CRM, and Business Planning. Contribute to the goal of understanding and improving consumer/player experiences. This internship is located in Boulder, CO.

Programming proficiency in Python and/R Knowledge of Spark Knowledge of data systems, relational databases, querying with SQL Experience with engineering tools and methods (github, unit testing, continuous integration, etc.) Experience with machine learning tools (SciKit-Learn, TensorFlow, etc.) Experience building web frontends (Javascript, JQuery, D3.js, React, etc.) Data Science (Mobile): Be a core component of the most successful Mobile gaming business through analytical excellence. Be part of a business that moves at breakneck speed and delivers the most engaging experiences to our players and fans. Programming expertise in Python and/R Comfortable working in a Notebook environment (Jupyter, Zeppelin, etc.) Knowledge of data systems, relational databases, querying with SQL Bonus: Experience with engineering tools and methods (github, unit testing, continuous integration, etc.) Bonus: Experience with machine learning tools (SciKit-Learn, TensorFlow, etc.)

Data Analytics (Mobile): Be a core component of the most successful Mobile gaming business by working closely with internal teams across Product, Production, User Acquisition, Developerpment, Design, Leadership, and other decision-makers on our games to deliver critical insights to support strategic business and marketing decisions. Expertise in querying with SQL Expertise in quantitative methods finding the truth and narrative in the data Knowledge of data visualization techniques and best practices Programming expertise in Python and/R is preferable Bonus: comfortable working in a Notebook environment (Jupyter, Zeppelin, etc.)