Data Scientist Jobs in New York, USA

Company at a Glance OpenX is focused on unleashing the full economic potential of digital media companies. We do this by making digital advertising markets and technologies that are designed to deliver optimal value to publishers and advertisers on every ad served across all screens. At OpenX, we have built a team that is uniquely experienced in designing and operating high-scale ad marketplaces, and we are constantly on the lookout for thoughtful, creative executors who are as fascinated as we are about finding new ways to apply a blend of market design, technical innovation, operational excellence, and empathetic partner service to the frontiers of digital advertising. OpenX is seeking a Staff Data Scientist to join our Data Science team. Our exchange processes hundreds of billions of ad requests daily and generates petabytes of data, requiring advanced machine learning, deep learning, and modern AI techniques delivered through scalable platforms to create value for customers. A Staff Data Scientist is a senior technical leader whose impact spans multiple teams and business domains. In this role, you will solve complex marketplace problems, set technical direction for your domain, architect major ML systems, mentor other scientists, and partner with engineering and product leaders on data-driven strategy. Problems at this level include auction and marketplace optimization, bidding and yield strategy, relevance and prediction systems at exchange scale, causal measurement of marketplace changes, and capabilities for training, validating, and monitoring ML systems in production. The ideal candidate brings deep expertise in applied machine learning, strong judgment in selecting methods for business problems at scale, and a track record of translating business needs into high-impact data science solutions.

About the Company Born from groundbreaking research at Columbia University and Yale University, CertiK is a leading Web3 security company focused on securing blockchain protocols, smart contracts, and decentralized applications through cutting-edge security research, formal verification, and AI-powered technology. Founded in 2017 and headquartered in New York City, CertiK provides end-to-end security solutions including smart contract audits, penetration testing, on-chain monitoring, incident response, and compliance services for some of the largest projects in the digital asset ecosystem. Today, CertiK supports thousands of enterprise clients and Web3 projects globally, with a distributed international team spanning North America, Asia, and Europe. The company is backed by leading investors including Coatue, Goldman Sachs, Insight Partners, and Sequoia Capital, and has been recognized by organizations such as the World Economic Forum and CB Insights for its contributions to blockchain security innovation.   About the Role The primary responsibility of this role is to build/maintain ETL pipelines & process large datasets from APIs/databases/third-party platforms to enable real-time team analytics and automate data preprocessing (cleaning/normalization/validation) for client accounts using rule-based logic/statistical checks to ensure data quality & prepare analysis-ready datasets for modeling/reporting.

Analytic Partners is a global leader in commercial measurement and optimization, turning data into expertise for the world’s largest brands for almost 25 years.   Our holistic approach to decisioning is powered by our industry-leading platform and team of experts, who help leaders make better decisions, faster – unlocking business growth and creating powerful customer connections.   With clients in 50+ countries and global offices across New York City, Miami, Dallas, Dublin, London, Paris, Singapore, Shanghai, Munich, Sydney, Melbourne, Charlottesville and Denver, we’re growing fast. And we’re looking for top talent to join us in shaping the future of analytics.   To learn more about what we do, visit analyticpartners.com – and see why we’re recognized as a Leader in the industry by independent research firms Forrester and Gartner.

Data Scientist at Graphite. Apply via Ashby.

<h3><strong>Senior Data Scientist</strong></h3> <h3><strong>About Current</strong></h3> <p>Current is a leading U.S. fintech serving people who have been overlooked by traditional banks. We are one of the fastest-growing companies with nearly 6 million members. Headquartered in NYC, our results-driven environment empowers our team to build better products, grow faster, and have a direct impact on our mission to improve financial outcomes for our members.</p> <h3><strong>About the Role</strong></h3> <p>At Current, data is at the core of everything we do. As a Senior Data Scientist on the Data and Growth teams, you will focus on machine learning modeling to build predictive models that help us understand our customers better, improve user experience, and efficiently acquire and retain members. This is a hands-on role focused on solving complex problems, developing and deploying ML models, and driving data-driven decision-making.</p> <p>Your day-to-day will involve analyzing, preparing, and structuring data; building and optimizing predictive models; leveraging clustering algorithms; and collaborating with cross-functional teams (Product, Engineering, Marketing) to integrate ML solutions into customer-focused strategies and processes.</p> <h3><strong>Responsibilities</strong></h3> <ul> <li>Design, develop, and deploy predictive classification and regression models, along with anomaly detection models and algorithms.</li> <li>Conduct extensive EDA, feature engineering, and data preprocessing to ensure high-quality input for ML models.</li> <li>Evaluate and optimize model performance using statistical and ML techniques.</li> <li>Design and execute A/B tests to measure and validate model impact.</li> <li>Perform customer segmentation using various clustering techniques.</li> <li>Develop and implement model monitoring dashboards and establish model governance techniques.</li> <li>Collaborate with Analytics, Product, Engineering, and Marketing teams to seamlessly integrate predictive models into workflows.</li> <li>Work with the ML Engineering team to ensure efficient data pipelines and scalable model deployment.</li> <li>Analyze diverse datasets to extract meaningful insights and patterns, identifying actionable opportunities for optimization and innovation.</li> </ul> <h3><strong>Qualifications</strong></h3> <h4><strong>About You</strong></h4> <ul> <li>5+ years of experience in data science with a strong emphasis on machine learning modeling.</li> <li>Proficiency in Python for data analysis and ML, with experience using libraries such as Scikit-Learn, XGBoost, TensorFlow, or PyTorch.</li> <li>Expertise in SQL and working w

Marketing Data Scientist at Darkroom. Apply via Ashby.

Data Scientist at Agentio. Apply via Ashby.