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 in applied machine learning, strong judgment in selecting methods for business problems at scale, and a track record of translating business needs into high-impact data science solutions.
Key Responsibilities:
- Technical Leadership & Architecture
- Architect robust, scalable, and maintainable ML systems for broad use across the exchange, spanning training pipelines, real-time inference, validation, and monitoring
- Serve as a go-to expert in deep learning and related advanced data science domains, with the breadth to guide method selection across adjacent areas
- Lead the evaluation and adoption of new AI/ML modeling techniques, frameworks, and research advancements relevant to OpenX’s marketplace problems
- Define and evolve technical standards and best practices within their domain, influencing broader adoption across the organization
- Execution & Strategy:
- Identify and lead high-impact, cross-team data science initiatives, such as improving bidding strategies, building new prediction systems, or redesigning experimentation frameworks
- In partnership with engineering and product leadership, drive the data science roadmap for a product area or platform capability
- Partner with product managers and commercial stakeholders to translate marketplace problems into data science solutions with measurable business outcomes
- Solve novel, ambiguous problems requiring innovation in methodology, algorithms, or feature engineering
- Mentorship & Influence:
- Mentor and develop senior data scientists, helping them grow toward broader technical leadership
- Raise the skills, impact, and scientific rigor of teams around them through guidance, architectural patterns, and strategic direction
- Communicate technical strategy and build consensus for complex decisions across senior leadership and cross-functional teams
Required Qualifications:
- Ph.D. in Data Science, Machine Learning, Computer Science, Physics, Mathematics, Operations Research, or related technical field with 6+ years of relevant industry experience; OR M.S./B.S. with 8+ years of relevant experience and a demonstrated track record of leading cross-team technical strategy and delivering organization-level impact
- Deep expertise in deep learning and broad fluency across the modern ML toolkit, with strong familiarity with optimization methods; additional experience in areas such as causal inference or experimentation design is a plus
- Proven ability to architect and deliver complex, production-grade ML systems that operate at scale
- Strong track record of nurturing DS/ML projects to maturity with significant business impact, including supporting and improving those systems beyond initial deployment
- Mastery of probability and statistics, especially techniques that scale to massive datasets
- Strong Python and SQL skills; experience with ML frameworks such as TensorFlow or PyTorch
- Strong communication and presentation skills, including proficiency in conveying complex technical concepts to both technical and non-technical audiences
- Track record of cross-team technical leadership and mentorship of senior data scientists and technical partners
Desired Characteristics:
- Experience developing, evaluating, or optimizing bidding algorithms for RTB environments.
- Experience working with a cloud platform like GCP/AWS/Azure, with emphasis on GCP and the Vertex AI platform
- Experience with ML pipeline and orchestration tools such as TFX, Kubeflow, or Airflow
- Familiarity with other programming languages such as Java and Go
- Experience working in digital media, marketing technology, or advertising technology — especially in marketplace, auction, or exchange systems
- Track record of setting technical standards or best practices adopted beyond a single team
- Experience representing data science capabilities or strategy in cross-functional forums
Skills Required
- Ph.D. in relevant technical field with 6+ years experience or M.S./B.S. with 8+ years experience
- Deep expertise in deep learning and machine learning
- Proven ability to architect and deliver production-grade ML systems
- Strong Python and SQL skills
- Experience with ML frameworks such as TensorFlow or PyTorch
- Strong communication and presentation skills
- Track record of cross-team technical leadership
OpenX Technologies Compensation & Benefits Highlights
-
Healthcare Strength — Company materials describe competitive medical, dental and vision coverage, employer‑paid therapy and life coaching, and wellness stipends. Mental‑health programs are emphasized alongside core healthcare as part of a holistic package.
-
Parental & Family Support — Company communications highlight fully paid parental leave for birthing, non‑birthing, and adoptive parents, plus family‑formation and caregiving support. Day‑one eligibility and fertility options in public listings reinforce a family‑friendly design.
-
Leave & Time Off Breadth — Public listings describe unlimited or flexible PTO, extended holidays, company‑wide recharge days, and birthday time off. Remote‑friendly scheduling is positioned to make time‑off policies practical in day‑to‑day use.
OpenX Technologies Insights
What We Do
OpenX is The Intelligent SSP™ (supply-side platform), simplifying advertising for marketers, advertisers, and publishers worldwide. As one of the largest SSPs globally, OpenX combines the industry’s only fully cloud-based infrastructure with leading AI capabilities to make digital advertising easier and more effective across every format, including CTV. Built to responsibly deliver quality, performance, and adaptability, OpenX makes digital advertising safer, smarter, and built for what’s next. Learn more at www.openx.com.
Why Work With Us
At OpenX, we value curiosity, innovation, and diversity. We are passionate about pushing the boundaries of ad tech and finding new ways to deliver value to our partners and we know our best chance of delivering is by creating diverse and inclusive teams where employees can do their best work being their authentic selves.
Gallery
OpenX Technologies Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.














