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Data Scientist III

4 hours, 29 minutes ago
United States
Full-time
Senior
Data Scientist
Data Science and Analytics
Apache Airflow AWS Azure 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 10

Description

  • Own the end-to-end data science lifecycle for moderately complex projects, including data ingestion, feature engineering, modeling, validation, deployment, monitoring, and retraining.
  • Build production-ready models and analyses that address marketplace problems such as bidding, yield modeling, relevance, prediction, experimentation, and causal measurement.
  • Write efficient, modular, well-tested code for data processing, feature engineering, and model training and inference.
  • Use distributed tooling such as Vertex AI pipelines, Dataflow, and BigQuery where appropriate.
  • Design and implement robust validation frameworks for experiments and models, accounting for bias and real-world performance.
  • Troubleshoot model performance issues, data anomalies, and code bugs with minimal guidance.
  • Define analytical approaches and scope data science work for ambiguous business problems.
  • Partner with product managers and stakeholders to define success metrics, experiment goals, and data science solutions.
  • Lead experiment design and analysis, including A/B tests and switchback experiments, and translate results into actionable business insights.
  • Mentor junior data scientists, review code and analyses, and influence team decisions on modeling, validation, and tooling.

Requirements

  • B.S. or M.S. in Data Science, Machine Learning, Computer Science, Physics, Mathematics, Operations Research, or a related technical field with 5+ years of relevant industry experience, or a Ph.D. in a related field with 2+ years of relevant experience.
  • Demonstrated ability to independently own the full data science lifecycle from problem formulation through model deployment, monitoring, and maintenance.
  • Strong expertise in several core areas of machine learning and/or statistics, such as gradient-boosted models, deep neural networks, time series, causal inference, or experimentation design.
  • Strong foundation in probability and statistics, including techniques that scale to large datasets.
  • Experience designing and analyzing experiments, such as A/B testing, and building robust model and experiment validation frameworks.
  • Strong Python and SQL skills.
  • Experience with ML frameworks such as TensorFlow or PyTorch.
  • Ability to write efficient, modular, well-tested code and collaborate with engineering to move models into production.
  • Strong communication skills for explaining complex technical concepts to technical and non-technical audiences.
  • Preferred: experience developing, evaluating, or optimizing models or bidding algorithms for RTB environments.
  • Preferred: experience with cloud platforms such as GCP, AWS, or Azure, especially GCP and Vertex AI.
  • Preferred: experience with ML pipeline and orchestration tools such as TFX, Kubeflow, or Airflow.
  • Preferred: familiarity with Java or Go.
  • Preferred: experience in digital media, marketing technology, or advertising technology, especially marketplace, auction, or exchange systems.
  • Preferred: experience supporting and improving production ML models after deployment.
  • Preferred: experience mentoring junior data scientists.

Benefits

  • Base salary range of $143,650 to $160,550 per year.
  • Bonus eligibility.
  • Equity compensation.
  • Medical, dental, and vision insurance.
  • 401(k) benefits.
  • Flexible compensation determined by experience, skills, and certifications.

Interested in this position?

Apply directly on the company website

Apply Now

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