Internship at Zynga (San Francisco, CA)
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Caio
Apr 28, 2015, 8:12:03 PM4/28/15
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Zynga is looking for smart and motivated candidates to join the Data Science team for summer internships. If you're interested and would like to apply please email your resume/CV as soon as possible to ds-a...@zynga.com. The position description is below.
Data Science Intern
===============
Zynga’s mission is to connect the world through games. Each day millions of users spend time with one or more of Zynga’s games on Facebook, Zynga.com and their mobile phones. To realize our mission we need to understand our players and their behavior in order provide them with the best gaming experience. We focus on areas such as Machine Learning, Data Mining, Statistics and Large Graph Analysis.
We are looking for a Data Science Intern with experience in solving large-scale practical Machine Learning problems. You will be working closely with game teams to identify and formalize problems around user modeling and user experience. You will be responsible for designing and implementing models and algorithms for new problems in Social Gaming and work with the game teams to put those models into production in our games. You will have the opportunity to have impact on the fun that millions of players have every day in Zynga’s network.
Responsibilities:
============
• Work with large amounts of data to identify opportunities that would help improve the experience that Zynga provides to its players
• Apply Machine Learning and Data Mining techniques for a variety of user modeling tasks within Zynga’s Game Network.
• Work closely with game teams to design, test, verify and implement Machine Learning techniques with Zynga’s games that impact the daily life of millions of users
• Design and evaluate novel approaches for gameplay experiments
Skills and Experience
================
Required:
• Working towards a PhD in Computer Science, Electrical Engineering, Math or Statistics
• Experience in solving real-world practical problems using Machine Learning
• Experience in mining and modeling large-scale data
• In-depth knowledge of Data Mining, Machine Learning, and Algorithms
• Knowledge of at least one high-level programming language (C++, Java)
• Knowledge of at least one scripting language (Perl, Python, Ruby)
• Knowledge of SQL and experience with large relational databases
• Knowledge of at least one ML toolset (R, Weka, KNIME, Octave, MLLib, scikit-learn, MATLAB)
• Strong ability to formalize and provide practical solutions to research problems
• Strong communication skills and ability to work independently to get an idea from inception to implementation.
Desired:
• Knowledge of the state of the art in at least one of Bayesian Optimization, Recommendation Systems, Social Network Analysis, Information Retrieval, Graph Theory
• Experience with storing, sampling, querying large-scale data and experimentation frameworks
• Experience with Hadoop, Spark, Mahout or Giraph
Data Science Intern
===============
Zynga’s mission is to connect the world through games. Each day millions of users spend time with one or more of Zynga’s games on Facebook, Zynga.com and their mobile phones. To realize our mission we need to understand our players and their behavior in order provide them with the best gaming experience. We focus on areas such as Machine Learning, Data Mining, Statistics and Large Graph Analysis.
We are looking for a Data Science Intern with experience in solving large-scale practical Machine Learning problems. You will be working closely with game teams to identify and formalize problems around user modeling and user experience. You will be responsible for designing and implementing models and algorithms for new problems in Social Gaming and work with the game teams to put those models into production in our games. You will have the opportunity to have impact on the fun that millions of players have every day in Zynga’s network.
Responsibilities:
============
• Work with large amounts of data to identify opportunities that would help improve the experience that Zynga provides to its players
• Apply Machine Learning and Data Mining techniques for a variety of user modeling tasks within Zynga’s Game Network.
• Work closely with game teams to design, test, verify and implement Machine Learning techniques with Zynga’s games that impact the daily life of millions of users
• Design and evaluate novel approaches for gameplay experiments
Skills and Experience
================
Required:
• Working towards a PhD in Computer Science, Electrical Engineering, Math or Statistics
• Experience in solving real-world practical problems using Machine Learning
• Experience in mining and modeling large-scale data
• In-depth knowledge of Data Mining, Machine Learning, and Algorithms
• Knowledge of at least one high-level programming language (C++, Java)
• Knowledge of at least one scripting language (Perl, Python, Ruby)
• Knowledge of SQL and experience with large relational databases
• Knowledge of at least one ML toolset (R, Weka, KNIME, Octave, MLLib, scikit-learn, MATLAB)
• Strong ability to formalize and provide practical solutions to research problems
• Strong communication skills and ability to work independently to get an idea from inception to implementation.
Desired:
• Knowledge of the state of the art in at least one of Bayesian Optimization, Recommendation Systems, Social Network Analysis, Information Retrieval, Graph Theory
• Experience with storing, sampling, querying large-scale data and experimentation frameworks
• Experience with Hadoop, Spark, Mahout or Giraph
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