Data Scientist / Senior Data Scientist - Growth Measurement

1 Month ago • 2 Years + • Data Analysis • $204,750 PA - $258,500 PA

Job Summary

Job Description

Roblox is seeking a Data Scientist / Senior Data Scientist focused on Growth Measurement. This role involves leveraging data science, statistics, and causal inference to develop measurement frameworks and products that enhance the understanding of growth initiatives. Key responsibilities include analyzing performance marketing efficacy, attribution modeling, and incrementality measurement. The position requires collaboration with marketing, product, and engineering teams to identify improvements and build data-driven solutions, as well as contributing to data infrastructure and communicating insights to stakeholders. The goal is to optimize user growth strategies through data-driven insights and leadership.
Must have:
  • Advanced degree in quantitative field
  • Minimum 2 years of data science experience
  • Expertise in statistical methods and causal inference
  • Proficiency in SQL, R/Python, and data visualization
  • Experience in marketing science and campaign evaluation
Good to have:
  • Experience in the gaming industry
  • Experience in multisided marketplaces

Job Details

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. 

At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. 

A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.

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 GROWTH MEASUREMENT?

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:

  • An advanced degree in a quantitative field such as Statistics, Economics, Computer Science, or a related discipline.
  • Minimum of 2 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
$204,750$258,500 USD

Roles that are based in our San Mateo, CA Headquarters are in-office Tuesday, Wednesday, and Thursday, with optional in-office on Monday and Friday (unless otherwise noted).

Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations for all candidates during the interview process.

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About The Company

San Mateo, California, United States (On-Site)

San Mateo, California, United States (On-Site)

Washington, District Of Columbia, United States (Hybrid)

San Mateo, California, United States (On-Site)

Gurugram, Haryana, India (Hybrid)

San Mateo, California, United States (On-Site)

San Mateo, California, United States (On-Site)

San Mateo, California, United States (On-Site)

San Mateo, California, United States (Hybrid)

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