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Build ML and Agentic AI models to forecast financial KPIs, optimize budgets, and automate business processes for a global healthcare company using Python, SQL, and cloud platforms.
Lead a multi-year machine safety automation roadmap using AI-driven predictive modeling to proactively eliminate risks across Amazon’s global network, coordinating hardware, software, and operations teams.
Build and maintain scalable ETL/ELT pipelines and data warehouses on AWS to power AI-driven analytics and creator monetization at Amazon’s Creator Services.
Build predictive models and self-service tools to turn people data into actionable insights for HR decisions, focusing on flight risk, engagement, and productivity.
Build the AI intelligence layer for a SaaS platform serving professional services firms, turning operational data into predictive, recommendation, and agent-driven capabilities.
Build ML models for shipping cost optimization, retailer credit underwriting, and personalized retailer growth tools using Python, XGBoost, and deep learning to power Faire’s wholesale marketplace.
Lead a team building AI/ML models and decision frameworks to monitor fraud and credit risk for Fiserv’s merchant payment solutions, using transaction and third-party data.
Senior Data Scientist builds and deploys ML/AI models, NLP, and generative AI solutions for a defense health mission, using Python, SQL, and cloud platforms to deliver predictive analytics and decision-support systems.
Analyze healthcare data in BigQuery to uncover insights, build dashboards in Looker/Tableau, and advise US leadership on trends and decisions using SQL, Python, and statistics.
• OCI Data Science Platform: Build, train, evaluate and deploy machine learning models using OCI Data Science, notebooks and Python-based ML solutions. • Data Preparation & Feature Engineering: Perform data…
Lead enterprise data architecture, AI/ML, and data engineering for federal systems, designing scalable data platforms and modernizing mission-critical IT infrastructure.
Develop and deploy AI/ML models for defense applications, integrating them into systems using Python, TensorFlow, and cloud platforms.
Lead enterprise-scale AI/ML initiatives, building and deploying Python-based models (LLMs, NLP, predictive systems) with MLOps and responsible-AI practices for federal programs like housing analytics and fraud detection.
Build and maintain housing datasets, automate analyses, and create visualizations to inform US housing policy using Python, SQL, and AI-assisted methods.
Build and maintain scalable data pipelines and AI-enabled tools to support clinical trials, transforming complex data into actionable insights for safety, efficacy, and risk detection in a regulated biopharma environment.
Research Data Manager Location: San Francisco, CA, United States JOB SUMMARY Involves gathering, analyzing, and interpreting a wide variety of research data. Designs and conducts research including selecting data…
Builds and maintains data pipelines, predictive models, and Power BI dashboards to analyze utility construction projects and drive data-driven decisions for FirstEnergy’s capital portfolio.
Designs and architects data and AI solutions for commercial digital marketing at a biopharma company, focusing on predictive analytics and scalable platforms like AWS and Databricks.
Build and deploy AI/ML models and data pipelines to power financial services for military members, using Python, SQL, Java, and cloud platforms like AWS.
Build and maintain Power BI dashboards and SQL models to turn student and operational data into insights for decision-making at a UK higher-education provider.
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