Zynga is looking to solve the problem of enhancing revenue, retention, and engagement metrics for their iconic multiplayer word game, Words with Friends, by leveraging data and ML-powered solutions.
Requirements
- Familiarity with mobile games
- Proficiency in Python and SQL.
- Demonstrated experience in data mining, data visualization, statistical analysis, and machine learning.
- Familiarity with Business Intelligence (BI) tools like Tableau and version control systems such as Git is advantageous.
- Minimum of 4 years in data science or analytics roles.
- Bachelor's degree in Computer Science, Mathematics, Statistics, Economics, or a related quantitative field. Advanced degrees (Masters or PhD) are a plus.
- Strong ability in both written and oral communication.
Responsibilities
- Collaborate with the Product team to enhance revenue, retention, and engagement metrics. This includes conducting A/B testing, performing insights analysis, and developing dashboards.
- Design game telemetry to capture meaningful player interaction data to improve the game experience.
- Analyze player behavior to understand motivations and preferences, partnering with game design and consumer insights teams to translate findings into actionable experience improvements.
- Actively play and engage with our games to maintain first-hand understanding of player experience, game mechanics, and potential pain points.
- Design and maintain ETL pipelines to extract, transform, and load data from multiple sources, ensuring source of truth for analyses and business intelligence.
- Monitor and maintain the integrity of a wide range of tools and models used to streamline workflows and personalize the player experience, in collaboration with other data analysts and scientists on the team.
- Continuously learn about analytics best practices, and actively share and promote these practices across various games and teams.
Other
- Highly self-motivated with a keen interest in problem-solving.
- Willingness to take ownership of challenges.
- Proven ability to work collaboratively as part of a team.
- Bachelor's degree in Computer Science, Mathematics, Statistics, Economics, or a related quantitative field. Advanced degrees (Masters or PhD) are a plus.
- Minimum of 4 years in data science or analytics roles.
