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Lead model validation analyst at Citi overseeing a portfolio of risk models (market, credit, operational), performing validations, annual reviews, and ongoing monitoring using SAS, Python, Excel, and statistical/econometric methods.
Senior Data Scientist owning end-to-end production ML models for workforce intelligence products, classifying behavioral event data and building benchmarks using Python and SQL.
Lead a small team of data analysts overseeing regulatory reporting submissions (OCC, FRB) at a bank, using SQL, Python, and Databricks to build data pipelines and apply AI/ML to automate reporting workflows.
Build and deploy predictive analytics and machine learning models supporting Marketing, Loyalty, Sales, and Finance at Choice Hotels, using Python/R, SQL, and AWS/SageMaker in a hybrid role based in North Bethesda.
Generative AI and Data Science Intern building predictive ML models and GenAI solutions (RAG, hybrid search) using Python, pandas, scikit-learn, Azure ML Studio, and Microsoft Fabric to support R&D, Finance, Manufacturing, and other functions.
Analyst driving continuous improvement strategies, data analysis, and operational impact assessments for a financial services/insurance company using Excel, PowerPoint, Visio, PowerBI, Tableau, SQL, Azure Databricks, and Minitab.
Playing an essential role in the U.S. economy, Fannie Mae is foundational to housing finance. Here, your expertise can help fuel purpose-driven innovation that expands access to homeownership and affordable rental…
Senior Associate Data Scientist developing and deploying ML/forecasting models to support business decision-making at Amgen's Hyderabad office, using Python, SQL, and MLOps practices across the full model lifecycle.
This role involves developing and operationalizing generative AI and machine learning models to process unstructured data for financial services. The data scientist will collaborate with cross-functional teams to build scalable AI solutions using tools like PyTorch, LangGraph, and AWS to improve customer experiences.
The Data Scientist will build and implement machine learning models for credit underwriting and business card strategies using Python, AWS, and Spark. They will collaborate with cross-functional teams to analyze large datasets and translate complex findings into business solutions.
The AI Engineer II will develop and maintain AI/ML systems for Blue Origin's Blue Ring space mobility platform, focusing on multi-agent systems, RAG pipelines, and telemetry anomaly detection. The role involves building intelligent ground systems to support satellite fleet operations using Python, AWS, and various ML frameworks.
The Data Scientist/Actuarial Analyst will develop and maintain financial models, perform statistical analysis, and create Power BI dashboards to support strategic decision-making in the iGaming sector. The role requires strong actuarial expertise, proficiency in Excel, SQL, and Python, and progress toward actuarial qualifications.
The Senior Software Engineer will design, develop, and deploy AI/ML models and pipelines to improve operational efficiency within the aerospace and defense sector. The role involves working with Python, MLOps practices, and generative AI technologies in a hybrid work environment.
This role involves developing simulation platforms and digital twins to validate mobile robot fleets for manufacturing and logistics. The engineer will use tools like Python, C++, and various simulation engines to build modular components and data pipelines for industrial automation.
The Technical Software Engineer designs and maintains software interfaces and data collection pipelines to connect semiconductor manufacturing equipment with enterprise systems. The role involves using C#, Python, and SQL to ensure high-throughput data integration and support 24/7 fab operations.
Patterson-UTI Drilling Company is seeking a strategic and innovative leader to define, develop, and drive the adoption of AI-powered products and digital solutions that improve drilling performance, operational…
The Data Engineer will design and maintain cloud-based data pipelines and infrastructure to support predictive maintenance and sensor-based analytics for aviation products. The role involves working with data science teams to implement MLOps, data models, and AI-driven tools using technologies like Azure, Python, and Databricks.
Develops and deploys AI/Gen AI solutions for corporate functions, focusing on agentic architectures, prompt engineering, and model integration while ensuring Responsible AI compliance and data governance.
Data Engineer/Scientist building ETL pipelines and infrastructure to support AI/ML and LLM solutions, using Python (Pandas, NumPy), PySpark/Spark or Temporal.io, and version control on-site in King of Prussia, PA.
Builds AI/ML products for property insights, designing ML pipelines, deploying models, and collaborating with cross-functional teams to develop predictive analytics and digital valuation solutions.
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