Data Scientist / Senior Data Scientist, People Analytics

San Mateo, CA, United States

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Roblox

Roblox is the ultimate virtual universe that lets you create, share experiences with friends, and be anything you can imagine. Join millions of people and discover an infinite variety of immersive experiences created by a global community!

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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 People Science & Analytics team at Roblox partners with our People, Places, & Systems organization to apply data science, applied statistics, and  analytics to our internal operations. We deliver insights and solutions that shape Roblox's approach to leadership, people development, and organizational culture. As a Senior Data Scientist in the People Analytics pod, you will join this team to solve complex challenges using qualitative and quantitative data, driving strategic decisions across the company. We are responsible for developing and managing Roblox’s HR data warehouse, analytical tools, and reports which support  data-driven HR initiatives and are used by internal stakeholders throughout the company.

You will:

  • Serve as an analytics consultant to key partners in HR, Talent Acquisition, and Finance where you will apply your expertise in data science, applied statistics and analytics engineering to build tooling and identify insights that drive strategic and operational improvement - domains located below.
  • Conduct end-to-end analyses on large, complex datasets to diagnose operational challenges, tell a compelling story, and provide actionable recommendations to executive leadership.
  • Design, build, and maintain data products and automated workflows that scale our team's analytical offerings and support our partners' long-term needs.
  • Uphold a high standard for data integrity and analytical rigor, working through ambiguity to produce clear, defensible insights.

You have:

  • A MBA / Master's degree, PhD, or equivalent experience in Data Science Statistics, Economics, Operations Research, Computer Science, Applied Math, Physics, Engineering, or other quantitative fields.
  • 4+ years of professional experience with SQL.
  • 4+ years of statistical programming in R/Python and/or analytics engineering experience in Python
  • 4+ years of professional experience with BI Tools (Tableau, Looker, Hex, etc.)
  • Proven ability to execute complex and cross functional projects from ideation through completion.
  • Strong interpersonal skills and the ability to work through ambiguity to delivery on projects that have driven organizational change.
  • Proven ability to explain technical concepts to non-technical audiences and discuss appropriate tradeoffs.
  • Highly self-driven and intellectually curious with a growth mindset focused on maximizing organizational impact.
  • A consistent track record to learn quickly and works well both independently as well as in a team setting.

At least two or more of the following:

  • 2+ years of experience with enterprise HR/People data systems (e.g., Greenhouse, Workday, Qualtrics) and/or experience working with non-technical operations teams.
  • 2+ years of experience in causal inference, experimental design, and statistical modeling. 
  • 2+ years of experience with data orchestration and transformation tools (e.g., Airflow, dbt) and deploying data pipelines.

People Analytics Domains at Roblox

  • Talent Acquisition
  • Employee Performance Programs
  • Workforce Planning
  • People Data Governance
  • Facilities and Office Planning
  • HR Operations
  • Partnering with Internal Tooling to build people products
  • Building our People Datalake

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$171,680—$225,030 USD

Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence 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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Tags: Airflow Causal inference Computer Science Data governance Data pipelines Data warehouse dbt Economics Engineering Finance Looker Mathematics PhD Physics Pipelines Python R Research SQL Statistical modeling Statistics Tableau

Perks/benefits: Career development Equity / stock options Startup environment

Region: North America
Country: United States

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