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Economist/Data Scientist

Zynga Economics logo

Zynga
San Francisco - United States
S: Competitive

Zynga's data science team uses our unique and expansive data to model and predict user behavior, understand in-game economies and optimize game mechanisms. The goal is to make our games more personalized and more fun to play. We strive for a better understanding of our players which translates into 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 to make our in-game economies optimally tuned and our players optimally engaged and delighted. 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.

We would like you to be able to:

Work with large amounts of data
Identify opportunities that would help improve the experience our players have with our games
Work closely with game teams to design, test, verify and implement statistical models
Design and evaluate novel approaches to experiments for gameplay
Recognize that sometimes (If not most times) the simple solution is the best solution
Apply predictive modeling techniques for a variety of user modeling tasks
Work on economy tuning, dynamic pricing, econometric models
Be skillful in Bayesian models, multi stage model, time series models

We love candidates who have:

A Master's degree in Economics, Statistics, Math or other similar quantitative field; Masters or PhD strongly preferred
3+ years of experience working with some or all of the following: probability, statistics, data mining, predictive modeling, experimental design, econometric modeling, economy tuning, Bayesian modeling, time series modeling, multi stage modeling (will consider candidates with less than two years experience with Ph.D. Or equivalent background)
Fluency in SQL
Fluency in some or all of the following: R, Python (Or equivalent)
An ability to work independently to get an idea from inception to implementation, including knowledge of techniques for validation and A/B testing
Strong written and oral communication skills
Comfort working effectively in a fast-paced environment with changing priorities
Comfort collaborating effectively across departments: engineers, product managers, analysts, business, and marketing functions
A strong business acumen and are results-oriented
A scrappy, action-driven ability to work autonomously
Highly developed skills in data visualization (That one gets more love!)
Comfort with Hadoop

Job summary

Employer:

Zynga

Location:

San Francisco, United States

Education:

PhD/Doctorate

Sector:

Business/Industry

Salary:

Competitive

Job Type:

Permanent

Hours:

Full-Time

Posted:

7th April 2016

Apply By:

6th May 2016

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