OpenX
OpenX

22 Openx Technical Account Manager Jobs Hiring Near You

... relevant to OpenX's marketplace problems • Define and evolve technical standards and best ... with product managers and commercial stakeholders to translate marketplace problems into data ...

At OpenX, we have built a team that is uniquely experienced in designing and operating high-scale ... Modeling & Technical Execution: * Own the end-to-end data science lifecycle for moderately complex ...

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Full-time

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Job description

Job Summary:
OpenX is focused on unleashing the full economic potential of digital media companies. They are seeking a Staff Data Scientist to solve complex marketplace problems, set technical direction for their domain, and mentor other scientists while partnering with engineering and product leaders on data-driven strategy.
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
Qualifications:
Required:
• 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
Preferred:
• 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
Company:
OpenX is a supply-side platform for audience, data, and identity targeting, boosting reach and revenue with top tech and service. Founded in 2007, the company is headquartered in Pasadena, USA, with a team of 201-500 employees. The company is currently Growth Stage.