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Data Scientist - Marketing Science

Roblox Corporation

California (MO)

On-site

USD 204,000 - 259,000

Full time

2 days ago
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Job summary

Join a leading company as a Senior Data Scientist, focusing on growth measurement and data-driven strategies. You will leverage your expertise in statistics and causal inference to enhance marketing efforts and collaborate with cross-functional teams. Enjoy a flexible work environment with excellent benefits, including medical coverage and catered lunches.

Benefits

Excellent medical, dental, and vision coverage
401k program
Flexible vacation policy
Free catered lunches
Onsite fitness center
Annual CalTrain Go Pass

Qualifications

  • Minimum of 2 years of experience in a data science role.
  • Experience in the gaming industry and/or multisided marketplaces.

Responsibilities

  • Conduct comprehensive analyses and develop measurement framework for growth efforts.
  • Collaborate with marketing, product, and engineering teams to find opportunities for improvement.

Skills

Statistics
Causal Inference
Data Visualization
SQL
R
Python

Education

Advanced degree in a quantitative field

Tools

Data Visualization Tools

Job description

San Mateo, CA, United States Data Science & Analytics ID: 3988

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.

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).

You’ll Love:

  • Excellent medical, dental, and vision coverage
  • A rewarding 401k program
  • Flexible vacation policy (varies by exemption status)
  • Roflex - Flexible and supportive work policy
  • 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. Roblox also provides reasonable accommodations for all candidates during the interview process.

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