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 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.
- Required Skills and Experience : 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!
- 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, ESPP.
- Extended Health coverage, disability, critical illness and life insurance
- Child care facilities for 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
Skills Required
Python, Programming, Sql, Spark, Hadoop