Develop and deploy predictive models using machine learning and statistical techniques. Collaborate with cross-functional teams to identify opportunities for leveraging data and communicate results to stakeholders.
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Search = Data Scientist
The Data Scientist will partner with various teams to investigate key business questions related to revenue growth and member behavior. They will develop member behavioral segmentations and translate complex analytical outputs into actionable insights for decision-makers.
The Senior Data Scientist will focus on search and be dedicated to the creation of next-generation AI and Machine Learning techniques for LexisNexis. This role involves solving challenging problems in natural language processing and deploying ethical generative AI solutions.
The role involves cleaning and preprocessing client data to develop and tune machine learning models for risk prevention. You will collaborate with key stakeholders and cross-functional teams to improve data science processes and tooling.
Develop and maintain analytical models for demand forecasting, price sensitivity, and promotion performance to improve revenue. Collaborate with cross-functional teams to implement scalable data solutions and generate actionable insights from retail data.
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Design, develop, and deploy scalable AI solutions and agentic frameworks to solve complex defense acquisition challenges. Work directly with government clients to translate vague needs into concrete technical requirements and production-grade AI workflows.
Develop and deploy scalable AI/ML systems and agentic platforms to solve complex defense acquisition challenges. Lead end-to-end AI project execution while mentoring team members and collaborating with cross-functional technical teams.
Lead end-to-end data science projects to uncover insights that drive business decisions and customer experiences. Develop and maintain performance and segmentation models while collaborating with engineering teams for productionization.
Develop customer-centric AI/ML solutions and Generative AI pipelines to solve complex healthcare problems. Collaborate with stakeholders to translate business requirements into data models and operationalize scalable systems within enterprise platforms.
Lead the end-to-end delivery of ML solutions for diverse clients, from scoping and design to deployment. Act as a player-coach by making technical contributions while mentoring junior and senior data scientists.
Research, design, and deploy cutting-edge machine learning models across various industries and use cases. Collaborate with engineers to integrate models into production environments while mentoring team members and communicating complex concepts to stakeholders.
Design and implement AI/ML solutions, including GenAI and RAG, to transform government data usage for CMS. Build agentic frameworks for service ticket management and automated program tracking and reporting.
Drive end-to-end SEO strategy covering technical, on-page, content, and conversion optimization. Develop AI-driven forecasting and ranking models to support organic search strategies using Python, SQL, and NLP.
Build advanced AI models and features using various coding languages to answer business questions. Communicate analytic conclusions to stakeholders and provide mentorship to junior data scientists.
Build advanced AI models and features using various coding languages to answer business questions. Communicate conclusions to stakeholders and provide mentorship to junior data scientists.
Develop and productionize machine learning models to improve healthcare products and track KPIs to measure business impact. Collaborate with cross-functional teams to translate business problems into quantitative hypotheses and communicate findings to stakeholders.
Develop and deploy AI solutions ranging from classical machine learning models to advanced Generative AI and multi-agent systems. Own the end-to-end data science lifecycle, including problem framing, experimentation, production deployment, and monitoring.
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Data Scientist Manager
Children's Hospital of Philadelphia
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Full Time
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19 hours ago
Children's Hospital of Philadelphia
Lead a team of data scientists to deliver high-quality research and analytical outputs for pediatric healthcare. Manage staff performance, oversee budgets, and collaborate with principal investigators to identify and execute data science research questions.
The Data Scientist II designs and executes applied research initiatives using LLMs to improve conversational AI and RAG systems. They develop prompting strategies and evaluation frameworks to translate model behavior into product and business strategy.
The role involves creating dashboards to track business metrics and analyzing A/B test results to improve product experience. The Data Scientist will translate complex data findings into actionable recommendations to drive business outcomes for content partners.
Drive advanced analytics and AI-powered decision intelligence by building production-grade systems that combine predictive, causal, and generative AI. Collaborate with cross-functional teams to integrate these models into scalable APIs and real-time decision-making pipelines.
Facilitate the adoption of the NEXUS Large Tabular Model by deploying production use cases and proving ROI against legacy baselines. Act as a technical bridge between customers and internal product teams to translate field insights into the product roadmap.
Data Scientist Senior
General Dynamics Information Technology
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Full Time
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22 hours ago
General Dynamics Information Technology
Design and implement AI/ML solutions, including GenAI and agentic frameworks, to transform government agency data usage. The role involves building prototypes through production for automated tracking, reporting, and service ticket management.
Data Scientist II - Fraud, Waste and Abuse
Centene Corporation
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Full Time
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22 hours ago
Centene Corporation
Develop scalable software solutions using AI and machine learning to detect Fraud, Waste, and Abuse. Design data models and analysis tools to predict member outcomes and monitor key health management metrics.
Develop and deploy AI, machine learning, and deep learning models to support Reuters' global newsrooms and multimedia content delivery. Collaborate with stakeholders to identify pain points and implement innovative technological solutions for news production.
Analyze complex fraud cases and high-volume data to identify risk trends and resolve fraudulent activity. Collaborate with cross-functional teams to enhance fraud detection tools and communicate insights to stakeholders.
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Develop and evaluate time series and machine learning forecasting models to predict parcel volumes and operational demand. Perform end-to-end analyses from data preparation to delivering actionable business recommendations.
The role involves cleaning and analyzing structured and unstructured supply chain data to generate actionable insights for food systems. You will build predictive models, create decision-support dashboards, and collaborate with consultants to solve data problems.
The role involves running end-to-end forecasting analyses to predict parcel volumes and operational demand across European markets. Responsibilities include building ML models, writing clean code, and collaborating with stakeholders to provide actionable business recommendations.
Develop and evaluate time series and machine learning forecasting models to predict parcel volumes and operational demand. Collaborate with cross-functional teams to turn data analysis into actionable business recommendations for C-level decision making.
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