Senior Data Scientist, Central Strategic Analytics

Senior Data Scientist, Central Strategic Analytics

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Zynga’s data science team uses our unique and expansive data to model and predict user behavior, making our games more personalized and more fun to play! We strive for a better understanding of our players which translates into challenges and features that delight them and increased social engagement within our games.

Here’s where you would come in: identify and formalize problems predicting user behavior. Then create and implement your models to find solutions. Be innovative, be creative, use every bit of that key commodity – data. Millions of people play Zynga games every day, so our data is tremendously rich and we have a lot of it!

We will rely on you to communicate your findings to your peers – both technical and non-technical. Your solutions will need to be demonstrably impactful and visual. You will work with our game teams to put your models into production


  • Work with large amounts of data to identify opportunities that would help improve the experience that Zynga provides to its players
  • Apply predictive modeling 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 statistical models with Zynga’s games that impact the daily life of millions of users
  • Design and evaluate novel approaches to experiments for gameplay

Required Skills and Experience:

  • BA in Computer Science, Math, Statistics, Economics, or other quantitative field; Masters or PhD strongly preferred
  • 5+ years of work experience in data science or analytics roles
  • Experience with some or all of the following: data mining, predictive modeling, statistics, experimental design, computational analytics, econometric modeling, data visualization
  • Fluent in SQL
  • Fluent in R and/or Python
  • Experience working with large datasets, preferably in a Hadoop or Spark environment
  • Ability to work independently to get an idea from inception to implementation, including knowledge of techniques for validation and testing
  • Strong experience with programming
  • Strong written and oral communication skills
  • Ability to work effectively in a fast-paced environment with changing priorities
  • Ability to collaborate effectively with engineers, product managers, analysts, business, and marketing functions
  • Strong business acumen
  • Excellent client management skills
  • Experience with natural language processing is preferred
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