AVAILABLE POSITIONS Lead Data Scientist

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 www.zynga.com or follow Zynga on Twitter, Instagram, Facebook, or the Zynga blog.

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.

 

Video link Zynga India:

 

https://youtu.be/x3djVo1CxHM

 

 

Zynga – India Studio

Work for a game company where tech meets creativity. Learn more about our Zynga – India Studio and apply for our open positions today!

youtu.be

 

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 world view. 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

  • Define analytics and data science roadmap, 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. Machine learning models may include but not limited to churn prediction, clustering/segmentation, forecasting, user LTV, fraud detection, and / or reinforcement learning

  • Design and evaluate novel scalable approaches to experimentation

  • Mentor and guide younger analysts and data scientists on subject matter, project solutioning, and best practices relevant to the wider industry

 

Required Skills and Experience:

 

  • B.E. or B.Tech. in Computer Science, Math, Statistics, Economics, or other quantitative field; Masters, MBA or PhD preferred

  • 7+ years of work experience in data science or analytics role

  • Strong experience in SQL; Fluent 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 

  • Work in a studio that has complete P&L ownership of games
  • Create next-gen games that will be played and loved by millions of players around the world
  • Work in a collaborative team that invests in your development and growth on-the-job
  • Competitive salary, bonus plan, Zynga RSU’s (Restricted Stock Units),ESPP (Employee Stock Purchase Plan)
  • Extended Health coverage, disability, critical illness and life insurance
  • Child care facilities for women employees and discounted facilities for male employees
  • Virtual mental health and neurodiversity support programs
  • Family planning support program
  • Additional leave options for most employees
  • Employee Assistance Programs
  • Frequent employee events
  • Flexible working hours on many teams
  • A diverse team of friendly, fun and supportive co-workers
  • Culture of diversity and inclusion including employee resource groups that connect Zyngites through culture, lifestyle and fun

 

We are an equal opportunity employer and we are committed to building a diverse and talented workforce. We do not discriminate on the basis of race, sex, religion, colour, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, medical condition, disability, or any other class or characteristic protected by applicable law. We welcome job-seekers, players, employees, and partners from all backgrounds to join us!

 

We will consider all qualified job-seekers with criminal histories in a manner consistent with applicable law.

 

We are committed to providing reasonable accommodations to qualified individuals with physical or mental disabilities in order to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.  Please contact us at AccommodationRequest@zynga.com to request an accommodation associated with your application for an open position. 

 

 

 

 

 

Zynga does not  engage in financial exchanges during the recruitment or onboarding process. We do not conduct job interviews over third-party messaging apps such as Telegram, WhatsApp or others. We will never ask you for your personal or financial information over unofficial chat channels. Our in-house recruitment team only contacts individuals via official company email addresses (i.e., via a zynga.com or naturalmotion.com email domain).

If you believe you have been the victim of a scam, you may wish to contact the authorities. In the United States, you may file a complaint with the FBI. More information is available here: https://www.ic3.gov.

Careers Category: Data, Analytics & User Research

Careers location: Bengaluru, India

Connected Worker Type: Connected, Onsite, Offsite

Requisition ID: P210846

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Zynga does not engage in financial exchanges during the recruitment or onboarding process. We do not conduct job interviews over third-party messaging apps such as Telegram, WhatsApp or others. We will never ask you for your personal or financial information over unofficial chat channels. Our in-house recruitment team only contacts individuals via official company email addresses (i.e., via a zynga.com or naturalmotion.com email domain).

If you believe you have been the victim of a scam, you may wish to contact the authorities. In the United States, you may file a complaint with the FBI. More information is available here: https://www.ic3.gov