Senior Data Analyst

Position Overview:

Zyngas 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.

What You'll Do:

• 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 that are aligned with the roadmap, and product goals balancing actionable insights to substantially improve core game metrics

• Drive and empower game studio to make quantitatively informed, evidence based decisions through maintaining source of truth data sources and dashboards

• Work closely with game team to design, test, verify and implement machine learning models and product features with Zynga’s games that impact millions of users.

What You Bring:

BS in Computer Science, Math, Statistics, Economics, or other quantitative field; Masters, MBA

or PhD preferred

5+ years of work experience in data science or analytics roles

Fluent in SQL; Solid experience with programming in Python; Adept in at least one visualization

tool such as Tableau, or QlikView

Demonstrable experience with some or all of the following: statistics, experimental design,

machine learning, 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!