FewerJobs.
All jobs

Staff Data Scientist

OpenX Technologies - New York, NY

Posted May 12, 2026

Benefits

Parental leave
Not verified
Non-birth-parent leave
Not verified
Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
Not verified
Relocation assistance
Not verified
Childcare support
Not verified
Learning budget
Not verified
Verification
Not verified
Salary
Not verified
401(k) match
Not verified

Was this benefit information wrong? Tell us.

Schedule

Shift type
Not verified
Weekend work
Not verified

Application

Cover letter
Not verified
Assessment
Not verified
Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

Staff Data Scientist New York, NY Company at a Glance OpenX is focused on unleashing the full economic potential of digital media companies. We do this by making digital advertising markets and technologies that are designed to deliver optimal value to publishers and advertisers on every ad served across all screens. At OpenX, we have built a team that is uniquely experienced in designing and operating high-scale ad marketplaces, and we are constantly on the lookout for thoughtful, creative executors who are as fascinated as we are about finding new ways to apply a blend of market design, technical innovation, operational excellence, and empathetic partner service to the frontiers of digital advertising. OpenX is seeking a Staff Data Scientist to join our Data Science team. Our exchange processes hundreds of billions of ad requests daily and generates petabytes of data, requiring advanced machine learning, deep learning, and modern AI techniques delivered through scalable platforms to create value for customers. A Staff Data Scientist is a senior technical leader whose impact spans multiple teams and business domains. In this role, you will solve complex marketplace problems, set technical direction for your domain, architect major ML systems, mentor other scientists, and partner with engineering and product leaders on data-driven strategy. Problems at this level include auction and marketplace optimization, bidding and yield strategy, relevance and prediction systems at exchange scale, causal measurement of marketplace changes, and capabilities for training, validating, and monitoring ML systems in production. The ideal candidate brings deep expertise

Read the full description at jobs.lever.co. FewerJobs shows a source-linked preview and links to the original posting.

Apply at jobs.lever.co

Apply link not verified; last-live date unavailable.

What verified means

Verified means a displayed claim has a recorded source field, a source URL when available, and a timestamp showing when FewerJobs checked or enriched the evidence.

Related jobs