Data Scientist

Role Overview

Join OpenX as a Data Scientist III. You will own medium-to-large data science projects end-to-end, delivering production-ready models and analyses that solve marketplace problems. You’ll partner with product and engineering, provide mentorship to junior data scientists, and serve as a strong technical voice.

Key Missions

• Own data science projects from problem formulation through model production.
• Collaborate with product leads and stakeholders to define success metrics and experimentation goals.
• Translate marketplace/business problems into data science solutions.
• Mentor junior scientists: provide technical guidance, review code/analyses/models, and support their growth.

Responsibilities

• Lead the full data science lifecycle: feature engineering → modeling → deployment → monitoring → maintenance.
• Build experiment and validation frameworks; design and analyze experiments (including A/B testing).
• Write efficient, modular, well-tested code and work with engineering to move models into production.
• Actively support and improve production ML models after deployment.

Requirements

• Strong applied foundation in probability and statistics, including methods that scale to large datasets.
• Experience designing/analyzing experiments and building robust experiment/model validation frameworks.
• Demonstrated ability to independently run the full DS lifecycle.
• Python and SQL proficiency.
• ML framework experience such as TensorFlow or PyTorch.
• Ability to communicate complex ideas to both technical and non-technical audiences.
• Education/experience:
  • B.S./M.S. in Data Science/ML/CS/Physics/Math/Operations Research or related field with 5+ years; or
  • Ph.D. with 2+ years relevant experience.

Nice-to-Haves / Additional Experience

• Expertise in ML/statistics areas such as gradient-boosted models, deep neural networks, time series, causal inference, and experimentation design.
• Experience developing/evaluating/optimizing models or bidding algorithms for RTB (real-time bidding).
• Cloud experience with GCP/AWS/Azure, with emphasis on GCP and Vertex AI.
• Experience with ML pipelines/orchestration tools such as TFX, Kubeflow, or Airflow.
• Familiarity with Java and/or Go.
• Experience in digital media / marketing technology / advertising technology, especially marketplace/auction/exchange systems.
• Mentoring experience for junior data scientists.

Location / Work Model

• Full remote (New York, US).