In this role, you will leverage your expertise in data science, statistics, and causal inference to develop measurement framework and product to deepen our quantitative understanding of growth efforts, which includes but not limited to performance marketing efficacy, attribution modeling and incrementality measurement. You will collaborate with cross-functional teams to develop and implement data-driven products and strategies that maximize the impact of our growth initiatives. You will also report to Senior Data Science leadership on the team.
You Will:- Conduct comprehensive analyses and develop measurement framework for growth efforts using advanced statistical methods and causal inference methodologies
- Collaborate with marketing, product, and engineering teams to find opportunities for improvement and build data-driven solutions.
- Contribute to the development of a robust data infrastructure to support user growth.
- Communicate insights and discuss recommendations with cross function partners translating complex technical concepts into actionable insights.
- Partner with different product teams to optimize user growth strategies through insights, strategy, and leadership.
You Have:- A MSc, PhD, or equivalent experience in Statistics, Economics, Operations Research, Computer Science, Applied Math, Physics, Engineering, or other quantitative fields.
- 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.
- Experience in the gaming industry and/or multisided marketplaces.
For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on
this page.
Annual Salary Range
$220,300-$262,380 USD
Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).
