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Staff Data Scientist

2 months, 1 week ago
United States
Full-time
Lead
Data Scientist
Data Science and Analytics
Apache Airflow AWS Azure Deep Learning Feature Engineering GCP Go Java Kubeflow Machine Learning Python PyTorch SQL Statistics TensorFlow Vertex AI
Apply Now
OpenX

OpenX

OpenX is a global leader in digital and mobile advertising technology, fostering a fair and transparent value exchange between publishers and advertisers to maximize revenue across all screens.

Media
51-250
Founded 2007
$71M raised
View All Jobs 4

Description

  • Architect robust, scalable, and maintainable machine learning systems for training, real-time inference, validation, and monitoring.
  • Serve as a subject-matter expert in deep learning and adjacent modern data science methods.
  • Evaluate and adopt new AI/ML techniques, frameworks, and research advancements relevant to marketplace problems.
  • Define and evolve technical standards and best practices within the data science domain.
  • Lead cross-team data science initiatives such as bidding strategy improvements, prediction systems, and experimentation framework redesigns.
  • Partner with engineering and product leadership to drive the data science roadmap for a product area or platform capability.
  • Translate marketplace problems and business needs into data science solutions with measurable outcomes.
  • Solve novel, ambiguous problems involving methodology, algorithms, and feature engineering.
  • Mentor and develop senior data scientists and raise the scientific rigor of teams around them.
  • Communicate technical strategy and build consensus across senior leadership and cross-functional teams.

Requirements

  • Ph.D. in Data Science, Machine Learning, Computer Science, Physics, Mathematics, Operations Research, or a related technical field with 6+ years of relevant industry experience, or an M.S./B.S. with 8+ years of relevant experience and demonstrated cross-team technical leadership.
  • Deep expertise in deep learning and broad fluency across the modern machine learning toolkit, with strong familiarity with optimization methods.
  • Experience with causal inference or experimentation design is a plus.
  • Proven ability to architect and deliver complex, production-grade machine learning systems at scale.
  • Strong track record of taking data science and machine learning projects to maturity with significant business impact.
  • Mastery of probability and statistics, especially techniques that scale to massive datasets.
  • Strong Python and SQL skills.
  • Experience with machine learning frameworks such as TensorFlow or PyTorch.
  • Strong communication and presentation skills for 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 is preferred.
  • Experience with cloud platforms such as GCP, AWS, or Azure, especially GCP and Vertex AI, is preferred.
  • Experience with ML pipeline and orchestration tools such as TFX, Kubeflow, or Airflow is preferred.
  • Familiarity with other programming languages such as Java and Go is preferred.
  • Experience in digital media, marketing technology, or advertising technology, especially marketplace, auction, or exchange systems, is preferred.
  • Track record of setting technical standards or best practices adopted beyond a single team is preferred.
  • Experience representing data science capabilities or strategy in cross-functional forums is preferred.

Benefits

  • Competitive salary of $195,500 - $218,500 per year.
  • Remote work arrangement.
  • Opportunity to work on large-scale, high-volume digital advertising systems at a senior technical level.
  • Chance to influence technical direction and strategy across multiple teams and business domains.

Interested in this position?

Apply directly on the company website

Apply Now

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