Staff Data Scientist, Causal Inference & Experimentation

United States Digital Space LLC; San Francisco (CA); On-site; USD 279,000 - 310,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

United States Digital Space LLC's Experimentation Platform fuels decisions for millions of daily users in gaming. As a Staff Data Scientist, you will shape the vision and roadmap, ensure rigorous experimental design, and uphold sound statistical methods across the company.

You will lead cross‑functional initiatives with engineering and product to scale experimentation, mentor 50+ data scientists, and explore AI/LLM tooling to accelerate insights.

Qualifications

• PhD in a quantitative field or equivalent practical experience.
• 4+ years designing, implementing, and analyzing experiments or causal inference projects.
• Ability to evaluate statistical approaches balancing velocity and reliability.
• Experience communicating complex concepts to diverse audiences and training others.
• Proficiency with Python, SQL, R, or other statistical languages.

Responsibilities

• Formulate the vision and roadmaps for the Experimentation Platform with stakeholders.
• Provide statistical expertise and ensure sound methodologies in causal inference and experimental design.
• Partner with engineering and product to improve reliability, scalability, and adoption.
• Lead initiatives to educate cross-functional teams via workshops and materials.
• Empower the Data Science team to adopt rigorous causal inference methods.
• Lead original causal inference research on high-priority questions.
• Engage with experimentation customers to enable fast, data-driven decisions.

Skills

Python

SQL

R

Statistical programming

Education

PhD in Statistics, Economics, Political Science, Psychology or equivalent

Job description

the company has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games.

the company's Experimentation Platform puts data at the heart of the company's decision-making and growth - we run hundreds of experiments at any given time, and those results turn directly into business decisions across the company.

As a Staff Data Scientist on this team, you will ensure that the statistical underpinnings of our experiments are sound, that experimenters are able to design experiments with high rigor, and that the company makes the best business decisions on the basis of these experiments. We are a small and quickly growing team; you will be presented with significant leadership opportunities as we evolve.

Our team directly impacts the strategy and roadmaps that improve the company for its more than 90M daily active users! If helping make the company an even better place to hang out with your friends sounds like an exciting challenge - we'd love to chat with you!

What you will be doing

• Formulate the vision and set the roadmap for the future of the Experimentation Platform, in partnership with engineering, product, and data science stakeholders.
• Provide statistical expertise, ensuring that experimentation methodologies and frameworks are sound and aligned with best practices in causal inference and experimental design.
• Partner closely with engineering and product to improve the reliability, scalability, and adoption of experimentation across the company - including modern AI/LLM tooling where it can accelerate rigor and speed.
• Lead initiatives to educate and train cross-functional teams - including workshops, training sessions, and educational materials - on experimentation design, statistical methodology, and causal inference.
• Empower the company's Data Science team (50+ members) to adopt more rigorous causal inference methods.
• Lead and conduct original causal inference research on high-priority the company questions, in partnership with the wider Data Science team.
• Engage directly with experimentation customers - data scientists, product managers, and engineers - to ensure the platform enables fast, reliable, data-driven decisions.

What you should have

• Proven experience leading experimentation platform work, including designing and validating statistical methodologies to ensure the accuracy and reliability of experimental results.
• PhD in a quantitative field (e.g. Statistics, Economics, Political Science, Psychology) or equivalent practical experience, plus 4+ years designing, implementing, and analyzing experiments or causal inference projects.
• Ability to critically evaluate and recommend statistical approaches that balance velocity and reliability across a variety of product launches.
• Strong passion for education, with a track record of communicating complex statistical and experimental design concepts to technical and non-technical audiences and fostering a culture of data literacy.
• Demonstrated experience in developing and delivering training programs or educational content related to experimentation, causal inference, or statistical analysis, with a track record of fostering a culture of data literacy within an organization.
• Proficient with Python, SQL, R, and/or other statistical programming languages.

Bonus Points

• Interest in conducting literature reviews, translating and championing best scientific practices across the company.
• Track record using causal inference methods that translated into business decisions and outcomes.
• Experience autonomously leading cross-functional projects and influencing cross-functional partners.
• Comfort using AI/LLM tools to accelerate causal inference workflows, automate repetitive analysis, or scale experimentation education content.
• Passion for the company or gaming.
• Causal inference-related publications.

San Francisco Bay Area:

*Candidates must reside in or be willing to relocate to the San Francisco Bay Area (Alameda, Contra Costa, Marin, Napa, San Francisco, San Mateo, Santa Clara, Solano, and Sonoma counties). Relocation assistance may be available.*

*The US base salary range for this full-time position is $279,000 to $310,000 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.*

Why the company?

the company plays a uniquely important role in the future of gaming. We're a multiplatform, multigenerational and multiplayer platform that helps people deepen their friendships around games and shared interests, and helps developers build and grow their businesses. We believe games give us a way to have fun with our favorite people, whether listening to music together or grinding in competitive matches for diamond rank. Join us in our mission! Your future is just a click away!the company is committed to inclusion and providing reasonable accommodations during the interview process. We want you to feel set up for success, so if you are in need of reasonable accommodations, please let your recruiter know.

*Please see our Applicant and Candidate Privacy Policy for details regarding the company’s collection and usage of personal information relating to the application and recruitment process by clickingHERE.*