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Senior Data Scientist builds ML models, data pipelines, and BI reports using Python, R, SQL, and Oracle/SQL Server to enable data-driven decisions for enterprise analytics.
Hertz Revenue Management is seeking a highly motivated, intellectually curious, and talented Sr. Data Scientist to join a team that is responsible for optimizing Hertz's revenue offers. The Sr. Data Scientist will…
Build and deploy fraud-detection models for a major Canadian credit union using Python, ML, and real-time transaction data.
Designs and implements secure, scalable data infrastructure for intelligence analysis, using cloud platforms and AI to turn raw data into actionable insights for national security.
Senior data scientist building knowledge graphs and ontologies to turn complex data into actionable insights for government clients using semantic web standards.
Build and lead full-stack web applications using React/Angular, Python, and PostgreSQL while collaborating with clients to solve complex problems in a government-focused environment.
Lead a team building and deploying ML models to detect and prevent card fraud using Python, Spark, and cloud tools, protecting customer accounts at scale.
Develop and deploy machine-learning models for analyzing experimental sensor data, collaborating with engineers to transition algorithms from research to deployment.
Build and deploy computer-vision models using deep learning frameworks like PyTorch/TensorFlow to classify images, detect objects, and segment scenes for AI applications.
Lead generative AI and LLM projects for JPMorgan Chase, building retrieval-augmented systems, evaluations, and production pipelines using Amazon Bedrock and Cortex to improve banking operations.
Build and deploy data science and analytics solutions for audit risk management using Python, SQL, Databricks, and Tableau to deliver insights and automated workflows.
Validate and challenge advanced fraud-detection models (XGBoost, neural networks) for a major bank, using SQL/SAS/Python and producing technical documentation and visualizations to ensure regulatory compliance and risk management.
Lead a team of data scientists to build predictive models and analytics for Caterpillar’s heavy equipment business, using machine learning and time-series forecasting to drive demand planning and aftermarket solutions.
Design and build scalable data pipelines, ML models, and analytics tools to accelerate drug research and development, using Python/R, Spark, and cloud platforms.
Build AI prototypes and demos for an insurtech cloud platform, including agentic systems, mobile apps, and 3D assets, while collaborating with R&D and engineering teams.
Build data pipelines and analytics apps using Palantir Foundry, Databricks, and AWS to turn raw data into actionable insights for government missions like fraud detection and healthcare research.
Build predictive models and analyze structured/unstructured data to solve challenges in national security, healthcare, or fraud detection using Python, R, SQL, and ML techniques.
Builds ML models and analyzes ad-campaign data in clean rooms to segment audiences, optimize spend, and measure performance for major brands.
We are seeking an inquisitive and impact-driven Data Scientist to join our Analytics team. In this role, you won't just build models—you will translate complex, unstructured data into actionable strategic…
Enphase Energy is a global energy technology company and a leading provider of solar, battery, and electric vehicle charging products. Founded in 2006, our innovative microinverter technology revolutionized solar…
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