drjobs Senior / Principal Data Scientist, Matchmaking

Senior / Principal Data Scientist, Matchmaking

Employer Active

1 Vacancy
drjobs

Job Alert

You will be updated with latest job alerts via email
Valid email field required
Send jobs
Send me jobs like this
drjobs

Job Alert

You will be updated with latest job alerts via email

Valid email field required
Send jobs
Job Location drjobs

San Mateo, CA - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

WHY DATA SCIENCE & ANALYTICS

The Data Science & Analytics organizations 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 MATCHMAKING

Every day millions of players explore immersive worlds created by our global community. Our mission is to optimize these connections at an unprecedented scale matching each player to the most engaging experience in real time across a dynamic global ecosystem. As a Senior/Principal Data Scientist on the Matchmaking team youll help shape the future of how our community discovers connects and plays together solving some of the most challenging optimization and systems problems in the industry.

Matchmaking is the foundational system that connects 100 million daily active users to tens of thousands of experiences across our global platform infrastructure. Youll partner with engineers infrastructure teams and product leaders to solve some of the most complex optimization problems in the industry. Your work will span from low-level resource allocation algorithms to high-level capacity planning strategies. You will define KPIs and measure the impact of matchmaking improvements while discovering optimization opportunities through advanced analytics modeling and experimentation. This role sits at the intersection of cutting-edge operations research large-scale systems engineering and user experience optimization.

You Will:

  • Design and optimize large-scale matching algorithms to connect millions of users with thousands of experiences in real time.
  • Define and track matchmaking performance metrics that directly improve user satisfaction and system efficiency.
  • Build scalable monitoring and analytics systems for continuous evaluation and root cause analysis.
  • Partner with engineering and infrastructure teams to implement high-performance low-latency matchmaking pipelines.
  • Develop and deploy advanced optimization models using state-of-the-art mathematical frameworks and large-scale telemetry data.
  • Validate and iterate on improvements through rigorous experimentation and causal inference.
  • Collaborate with our developer community to create transparent and customizable matchmaking solutions that empower creators.
  • Influence platform strategy and contribute as a technical thought leader to advance Robloxs global ecosystem.

You Have:

  • Advanced Degree and/or PhD in Operations Research Computer Science Statistics Applied Mathematics Industrial Engineering or other related quantitative fields
  • 6 years of relevant industry experience with marketplace optimization auction systems or large-scale matching platforms (e.g. ride-sharing ad exchanges trading systems)
  • Strong optimization systems experience including mathematical modeling solver integration and production deployment of marketplace or allocation algorithms
  • Demonstrated ability to drive optimization initiatives as an individual contributor and technical thought leader
  • Experience with real-time bidding dynamic pricing or resource allocation systems in high-throughput environments
  • Experience collaborating with Infrastructure teams to optimize system performance and resource utilization (a plus)
  • Ability to communicate optimization results and algorithmic insights to influence engineering teams and business stakeholders

Required Experience:

Staff IC

Employment Type

Full Time

Company Industry

About Company

Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.