Develop and optimize machine learning models for analyzing unstructured text, image, and video data for an investigative platform. Collaborate with cross-functional teams to design scalable predictive systems and guide data pipeline architecture.
Remote Data Scientist Jobs (812)
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The Data Scientist will research, analyze, and model data to deliver cutting-edge AI solutions for the Higher Education business unit. They will collaborate with cross-functional teams to create and execute generative AI projects that enhance educational experiences.
Own the full machine learning lifecycle from research and experimentation to deployment and monitoring using AWS SageMaker Studio. Collaborate with product and operations teams to develop models that solve business problems across legal services and marketing.
Own the full machine learning lifecycle from research and experimentation to deployment and monitoring. Collaborate with cross-functional teams to build MLOps pipelines and deliver models that drive business outcomes.
The role involves owning the full machine learning lifecycle from research and experimentation to deployment and monitoring. You will build MLOps pipelines in AWS SageMaker Studio to deliver models that drive business outcomes across operations and marketing.
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The role involves designing and prototyping agentic AI systems and scalable production software to solve complex national security data problems. You will collaborate with cross-functional teams to translate customer needs into technical data science solutions and strategic product roadmaps.
Drive HR decision-making by designing and implementing machine learning models for attrition, hiring, and workforce planning. Translate complex analytical outputs into actionable business insights and build scalable data solutions using Python.
Develop and iterate on statistical and ML models for credit underwriting, risk management, and cash-flow forecasting. Own the end-to-end model lifecycle, including deployment, performance monitoring, and retraining.
Develop and maintain end-to-end ML models for flight departure delay prediction and operational forecasting. Build internal tooling for dataset generation and training pipelines while collaborating with backend teams for live system integration.
Design, train, and deploy Generative AI and ML solutions to prevent Fraud, Waste, and Abuse in healthcare claims. Build scalable ML pipelines and RAG systems while collaborating with cross-functional teams to optimize production models.
Build statistical models for pricing, bidding, and conversion optimization using causal inference and Bayesian methods. Collaborate with engineering and product teams to productionize these models for ranking and personalization across travel products.
The role involves extracting and analyzing big data to provide key insights and feasibility reviews for internal and external stakeholders. Additionally, the position leads cross-functional teams of analysts to innovate Comscore's marketplace offerings and automate custom workflows.
Design and scale backend services integrating Generative AI and RAG to power intelligent agents and automation. Build data pipelines to transform structured and unstructured data into actionable insights for improved customer experiences.
Develop and deploy machine learning models to forecast demand and optimize inventory for the supply chain team. Collaborate with cross-functional scrum teams to build high-quality data products and drive data science best practices.
The role involves translating ambiguous operational problems into mathematical or graph-theoretic questions to optimize freight and transportation networks. The Data Scientist will design analyses, build predictive models, and communicate findings to executive stakeholders.
The Data Scientist delivers data-driven insights and analytical solutions to support business decision-making. This involves partnering with stakeholders to analyze complex datasets, build visualizations, and develop predictive models.
The role involves developing cutting-edge Applied AI, infrastructure, and tooling to democratize Generative AI. Key tasks include building RAG pipelines, creating Python libraries for AWS, and implementing neural network architectures from research papers.
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Lead cross-functional AI/ML initiatives to drive enterprise-wide strategy and develop end-to-end models for pricing and demand forecasting. Implement prescriptive analytics and maintain model monitoring workflows using MLflow and Azure ML.
Design and scale backend services integrating Generative AI and Retrieval-Augmented Generation (RAG) for production. Develop AI agents and data pipelines to automate workflows and provide actionable insights.
The Data Scientist will build scalable data products and pipelines to bridge raw product output with executive decision-making. They will partner with Product teams to architect telemetry and conduct deep-dive analyses on customer retention and product adoption.
Develop and refine predictive models and AI-driven insights to enhance intelligence and operational planning for a DoD customer. Implement Agile sprint cycles to integrate data from multiple sources and optimize analytic workflows.
The Data Scientist transforms and combines data from disparate systems to create visualizations and actionable insights for the University. They collaborate with IT and other departments to document data flows, automate pipelines, and ensure data governance.
Design and deploy machine learning and deep learning solutions to support early warning systems and humanitarian decision-making. Develop predictive models and automated alert systems using multimodal datasets, including satellite imagery and conflict data.
The role involves owning the analytical function for a core business unit to define problems and surface data insights. You will drive business outcomes by providing recommendations to product, growth, and operations teams.
The role involves owning the analytical function for a specific business unit to define problems, build reports, and design experiments. The candidate will surface data insights and drive strategic outcomes by providing recommendations to product, growth, and operations teams.
Design and implement machine learning and deep learning models for predictive analytics and classification, including NLP and LLM solutions. Perform advanced data analysis and build scalable code using Python and PySpark within an AWS environment.
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Develop and maintain balance sheet forecasting models and analyze portfolio characteristics and customer behavior. Collaborate with risk management teams to facilitate model validations and provide analytical support for liquidity decisions.
The Data Scientist will lead the measurement science for the audio advertising platform, focusing on incrementality tests and marketing mix models. They will collaborate cross-functionally to quantify advertiser outcomes and influence product direction through causal evidence.
Design and deploy scalable AI, machine learning, and RAG solutions to drive business value within the Revenue Intelligence team. Build production-ready ML pipelines and AI-powered applications to transform enterprise data into actionable insights.
Develop and scale real-time machine learning models and data-driven features to provide actionable insights for Amazon sellers. Build scalable data pipelines and monitor model performance in production using Python, SQL, and AWS.
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