Data Scientist III

🕒 August 4

🗽 New York – Remote

🗽 New York – Remote

💵 $143.7k - $160.6k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

📊 Data Scientist

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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 using distributed tooling where appropriate • Design and implement validation frameworks for complex experiments and models • Troubleshoot model performance issues, data anomalies, and code bugs • Define analytical approaches and scope data science 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 A/B tests and switchback experiments • Identify opportunities where data science can provide significant value • Follow and improve team 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 regarding modeling, validation strategies, and tooling • Improve team standards, data science best practices, and analytical rigor • Educate technical and non-technical stakeholders on 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 ongoing 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, including techniques that scale to large datasets • Experience designing and analyzing experiments 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 and analyses into production • Strong communication skills for conveying complex technical concepts to technical and non-technical audiences

🏖️ Benefits

• Bonus • Equity • Medical insurance • Dental insurance • Vision insurance • 401(k) • Equal employment opportunities and legally protected nondiscrimination