Data Scientist III

🔥 9 minutes ago

🗽 New York – Remote

🗽 New York – Remote

💵 $143.7k - $160.6k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

📊 Data Scientist

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OpenX

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2008

💼 Consulting

📣 Marketing

💰 Secondary Market on 2015-05

Consulting • Marketing • Advertising

OpenX is an independent supply-side platform specializing in ad tech, enabling publishers and advertisers to achieve better ad buying and selling experiences with a focus on addressability, transparency, and sustainability. Established in 2008, OpenX provides omnichannel targeting capabilities across all channels, including CTV, and integrates seamlessly with various data sets and identity types. As the first Net-Zero verified adtech company, OpenX emphasizes responsible media practices, helping clients reduce their environmental impact while supporting social initiatives. They offer a platform that democratizes identity access for marketers, allowing for seamless audience targeting similar to walled gardens. OpenX has established itself as a leader in programmatic advertising, working with high-profile clients to integrate their technology efficiently and effortlessly.

📋 Description

• Own the end-to-end data science lifecycle for moderately complex models and significant project components, including data ingestion, feature engineering, modeling, validation, deployment, monitoring, and retraining • Apply machine learning and statistical methods to complex data science problems • Write efficient, modular, well-tested code for data processing, feature engineering, and model training/inference • Design and implement validation frameworks for experiments and models • Troubleshoot model performance issues, data anomalies, and code bugs • Define analytical approaches and scope projects for complex or ambiguous business problems • Partner with product managers and stakeholders to define success metrics and experiment goals • Lead the design and analysis of experiments and interpret model and experimental results • Identify opportunities where data science can provide value • Follow and improve processes for coding standards, documentation, reproducibility, and experimentation • Mentor DS I and DS II scientists and review their code, analyses, and models • Influence technical decisions on modeling, validation, and tooling • Improve team standards, data science practices, and analytical rigor • Educate technical and non-technical stakeholders about model capabilities, limitations, methodologies, and findings • Participate in recruiting and provide interview feedback

🎯 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 • Ability to independently own the full data science lifecycle from problem formulation and feature engineering through model deployment, monitoring, and maintenance • Expertise in several core areas of machine learning and/or statistics, including gradient-boosted models, deep neural networks, time series, causal inference, or experimentation design • Strong foundation in probability and statistics for large datasets • Experience designing and analyzing experiments and building model and experiment validation frameworks • Strong Python and SQL skills • Experience with TensorFlow or PyTorch • Ability to write efficient, modular, well-tested code and collaborate with engineering to productionize models and analyses • Strong communication skills for technical and non-technical audiences • Experience with RTB models or bidding algorithms • Experience with GCP, AWS, or Azure, especially GCP and Vertex AI • Experience with TFX, Kubeflow, or Airflow • Familiarity with Java or Go • Experience in digital media, marketing technology, or advertising technology, especially marketplace, auction, or exchange systems • Experience supporting and improving production ML models after deployment • Experience mentoring junior data scientists

🏖️ Benefits

• Bonus • Equity • Medical insurance • Dental insurance • Vision insurance • 401(k) • Additional benefits described on OpenX’s careers page