Note: The job is a remote job and is open to candidates in USA. OpenX is focused on unleashing the full economic potential of digital media companies. They are seeking a Staff Data Scientist to join their Data Science team, where the role involves solving complex marketplace problems, setting technical direction, architecting ML systems, and mentoring other scientists.
Responsibilities
- 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
- 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
- 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
Skills
- 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
- 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
Benefits
- Bonus
- Equity
- Medical
- Dental
- Vision
- 401k
Company Overview
Company H1B Sponsorship