WHY DATA SCIENCE & ANALYTICS?

The Data Science & Analytics organization's mission is to increase our speed, frequency and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned and partnering with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure impact on our community of players and developers.

WHY MARKETING SCIENCE?

In this role, you will leverage your expertise in data science, statistics, and causal inference to evaluate and enhance our performance marketing campaigns. You will collaborate with cross-functional teams to develop and implement data-driven strategies that maximize the impact of our marketing initiatives. You will also report to Senior Data Science leadership on the team.

You Will:

• Conduct comprehensive analyses of marketing campaign performance using advanced statistical methods and causal inference techniques.
• Design and execute experiments to measure the effectiveness of various marketing channels and strategies.
• Develop and maintain predictive models to optimize campaign targeting and maximize marketing effectiveness through channel optimizations.
• Collaborate with marketing, product, and engineering teams to identify opportunities for improvement and implement data-driven solutions.
• Contribute to the development of a robust data infrastructure to support performance marketing analytics.
• Communicate insights and discuss recommendations with stakeholders translating complex technical concepts into actionable insights.
• Partner with different product teams to optimize user acquisition strategies through insights, strategy, and leadership.

You Have:

• An advanced degree in a quantitative field such as Statistics, Economics, Computer Science, or a related discipline.
• Minimum of 4 years of experience in a data science role, with a focus on marketing science and campaign evaluation.
• Strong knowledge and practical application of statistical methods, causal inference techniques, and experimental design.
• Experience working with large datasets and proficiency in SQL, R/Python, and data visualization tools.
• Familiarity with digital marketing platforms and performance marketing measurements.
• Knowledge of customer lifetime value (CLV) modeling and churn prediction.
• Experience in the gaming industry and/or multisided marketplaces.

You Are:

• Passionate for leveraging data to drive decisions and optimize marketing performance.
• A strong communicator. You understand that analysis must be presented in meaningful ways and engage in spirited discussions about the findings. You have the ability to explain technical concepts to non-technical audiences and discuss appropriate tradeoffs.
• An expert at transforming data with SQL and a scripting language such as Python or R. You're experienced in automating efforts and crunching massive volumes of data in distributed systems using frameworks such as Spark, Hadoop or Flink.
• Enthusiastic and driven. You are perpetually curious and have an ever growing learning mindset, staying up-to-date with the latest advancements in data science and marketing analytics. You excel with freedom and autonomy and are excited by the ambiguity that comes from exploring a new problem space.
• Motivated by impact. You find satisfaction in being able to point to direct contributions you've made to an organization. You recognize the inherent tradeoffs between further research/experimentation and productionization apply the appropriate methodology to maximize impact.