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Senior Software Engineer building AI/ML models and data pipelines for ExtraHop's Network Detection and Response cybersecurity platform, using Python, Go, and cloud infrastructure (AWS/GCP).
Build production-grade ML systems for HVAC energy efficiency using sensor data, time-series modeling, and anomaly detection in a climate-tech startup.
Build and run real-world evidence studies and predictive models to help health plans improve access and affordability of high-cost specialty medications using claims, clinical, and pharmacy data.
Data Scientist on AWS Network Fabric Engineering in Sydney, driving data science strategy for network availability — defining metrics, building predictive risk/reliability models, and evaluating automation/agentic systems using Python, SQL, and AWS services like QuickSight, CloudWatch, Lambda, S3, and Athena.
Staff Data Scientist driving analytics, ROI analysis, and data modeling for an insurtech company, using Python, SQL, and BI dashboards to inform product and business decisions in workers' compensation insurance.
Data Scientist at a national security contractor in Camp Lejeune, NC, analyzing complex datasets and building ML models to support Marine Corps Special Operations Command's data-driven decision-making.
Data Scientist contract role at a retail business in London, focused on leveraging data to enhance customer experience and commercial outcomes across multiple business functions.
The Principal Data Scientist will act as a technical consultant, applying state-of-the-art machine learning and AI to support high-priority business use cases within the pharmaceutical development process.
Senior Data Scientist developing statistical analysis methods for blood-based cancer detection assays using Python, supporting assay development, analytical validation, QC, and regulatory submissions in a regulated diagnostics environment.
Mid-Data Scientist developing predictive and statistical models for aviation and supply chain data using Python/R, SQL, and cloud platforms, supporting U.S. Government missions on-site in Vienna, VA.
Job Number: R0248137 University - 2027 Summer Games Data Scientist Intern The Opportunity: The Summer Games is an innovative internship program that attracts some of the nation's best and brightest students. The goal…
Data Scientist intern in the Summer Games program, developing breakthrough solutions for complex customer problems in a competitive, collaborative environment.
Lead Data Scientist building end-to-end ML models for marketing targeting and customer outcomes at a lending company, using Python and SQL.
Develops and maintains a Palantir Foundry application to track and forecast costs for space launch equipment, using Python for data models, visualizations, and automation.
Senior Data Scientist on Plaid's Network Value (Credit) team, performing product analytics, experimentation, and data modeling using SQL, Python, Redshift, Databricks, dbt, and Airflow to shape Credit product strategy and grow the consumer financial network.
Lead advanced analytics, predictive modeling, and AI-powered initiatives as VP of Data Science within Burson's Insights & Intelligence team, using Python, SQL, R, and cloud platforms to deliver data-driven client solutions in a communications/PR agency setting.
The Data Scientist will build and deploy machine learning models using clinical and claims data to improve pediatric care outcomes. The role involves collaborating with cross-functional teams to translate business goals into actionable insights using Python, SQL, and cloud-based data tools.
Data scientist designing and implementing ML and analytical models to support fraud detection, tax process improvement, and recovery optimization at Belgium's Federal Public Service for Finance, using SAS, SQL, R, and Python.
Build and analyze experiments to improve Cedar’s patient-payment platform, using SQL, Python, and A/B testing to drive data-driven product decisions and personalization.
The Senior Manager of Data Science leads a team of machine learning engineers and data scientists to develop and deploy styling algorithms and AI-driven personalization features. The role involves overseeing the end-to-end algorithm development lifecycle, collaborating with cross-functional partners, and driving product roadmaps for client-facing AI experiences.
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