Why Zynga
Zynga is a global leader in interactive entertainment with a mission to connect the world through games. To date, more than one billion people have played Zynga’s franchises including CSR Racing™, Empires & Puzzles™, Merge Dragons!™, Merge Magic!™, Toon Blast™, Toy Blast™, Words With Friends™ and Zynga Poker™. Zynga’s games are available in more than 150 countries and are playable across social platforms and mobile devices worldwide. Founded in 2007, the company is headquartered in San Francisco with locations in the U.S., Canada, the U.K., Ireland, India, Turkey, and Finland. For more information, visit or follow Zynga on , , , or the .
Zynga India:
Zynga India is Zynga’s largest studio outside USA with 500+ people and growing rapidly. It manages some of Zynga’s biggest global games in the Casual Gaming, Action Strategy, Match-3, Slots, and Invest Express genres. The game teams are responsible for the long term-vision of the game, its entire Game Design & Tuning, Product Roadmap, Features, Content & Creative decisions, Art work (2D, 3D, Animation), Development, QA/Testing, Analytics & Performance Tracking, User Acquisition & Live Operations.
The Zynga India team is full of passionate gamers, who love to play, build great products, and have fun doing it. Studio I expects continued growth and is looking for strong leaders to expand the studio into this next growth phase.
About the team.
Zynga’s data science and analytics 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 to understand user behavior. Create systems and analyses to derive insights that change the studio’s worldview. 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 to difficult problems will need to be demonstrably impactful, visual, and maintainable. You will work with our game teams to put your models into production. You will collaborate with Product Managers, Game Designers, and Engineers to deliver business impact, changing current practices in line with new findings and insights.
Responsibilities:
Work with large amounts of data to find opportunities to improve the experience that Zynga provides to its players
Deliver analytics and data science projects, balancing actionable insights to substantially improve core game metrics
Drive and empower game studio to make quantitatively informed, evidence-based decisions
Work closely with game team to design, test, verify and implement machine learning models with Zynga’s games that impact millions of users
Design and evaluate novel scalable approaches to experimentation
Collaborate with stakeholders to encourage a data-driven product culture
Required Skills and Experience:
B.E./B.Tech/B.Sc in Computer Science, Math, Statistics, Economics, or other quantitative field; Masters, MBA or PhD preferred
3+ years of work experience in data science or analytics roles
Fluent in SQL; Strong experience with programming in Python; Adept in at least one visualization tool such as Tableau, or QlikView
Demonstrated experience with some or all of the following: statistics, experimental design, machine learning, data mining, predictive modeling, deep learning
Experience in analyzing large datasets, preferably in a Hadoop or Spark environment, and deploying production-ready systems at scale
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, and marketing to deliver unambiguous business impact
Strong passion for gaming!
What we offer you:
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