This job listing expired on May 22, 2024

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.


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.


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 report directly to the VP, Data Science overseeing the broader Data Science organization.

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.

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.

Annual Salary Range

$212,780—$253,430 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).

You’ll Love:

  • Industry-leading compensation package

  • Excellent medical, dental, and vision coverage

  • A rewarding 401k program

  • Flexible vacation policy

  • Roflex - Flexible and supportive work policy

  • Roblox Admin badge for your avatar

  • At Roblox HQ:

    • Free catered lunches five times a week and several fully stocked kitchens with unlimited snacks

    • Onsite fitness center and fitness program credit

    • Annual CalTrain Go Pass

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. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.