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This role involves developing and deploying advanced AI and machine learning models to drive commercial analytics and business effectiveness within a healthcare context. The analyst will utilize Python, SQL, and Snowflake to process healthcare datasets and provide actionable insights for cross-functional teams.
The Core Data Scientist develops and industrializes advanced machine learning and GenAI models to support insurance business strategies. The role involves cross-functional collaboration, R&D, and the application of Python-based coding best practices to solve complex analytical challenges.
The Senior Data Scientist will design, develop, and implement AI models and algorithms while mentoring junior staff. The role focuses on leveraging advanced analytics and machine learning to solve complex business challenges for global enterprises.
The Data Scientist provides technical assistance to intelligence operations by evaluating and improving statistical models and machine learning algorithms. The role involves analyzing complex datasets to support national security missions within a classified environment.
Lead a team of data scientists and engineers to build and deploy AI, ML, and optimization solutions that improve supply chain performance and drive enterprise impact in a healthcare and medical device company.
The Customer Success Lead Data Scientist acts as a trusted advisor for energy sector clients, leveraging Spotfire and advanced analytics to drive product adoption and solve complex industry problems. The role involves developing analytical deliverables, building prototypes, and collaborating cross-functionally to ensure customer success.
The Data Science Manager will lead a team to develop and deploy machine learning models for online personalization, partnering with product and engineering teams to improve customer shopping experiences. The role focuses on end-to-end delivery of scalable AI solutions and fostering a culture of innovation and technical excellence.
Department Name: Medicare Stars Strategy Work Shift: Day Job Category: Information Technology Health care is constantly changing, and at Banner Health, we are at the front of that change. We are leading health care to…
Senior Data Scientist building and deploying predictive ML models for collections and customer engagement analytics. Day-to-day work involves feature engineering, model training/validation, and production ML pipelines using Python, SQL, and frameworks like XGBoost, LightGBM, and TensorFlow.
Data Scientist at MANTECH in Fort Meade, MD, driving statistical analytics and cloud-based data solutions for national security missions using Python/R/SQL and preparing workflows for future ML integration.
Design, develop, deploy, and support production-grade AI/ML solutions using Python, PyTorch, scikit-learn, and Azure, working across the full machine learning lifecycle at State Street in Bangalore.
Data Science Manager leading end-to-end delivery of data science projects (predictive modeling, regression, Marketing Mix Modelling), managing analyst-level team members, and serving as the primary client contact for marketing analytics engagements using Python or R.
Lead a Data Science team at ad agency UM, building ML models for audience segmentation, running campaign performance analyses in digital clean rooms (Google ADH, Facebook, Amazon Marketing Cloud), and providing strategic data science support across the full campaign lifecycle.
Staff Data Scientist on Netflix's Experimentation Platform team, setting company-wide strategy, standards, and tooling for A/B testing and causal inference using Python and SQL in collaboration with data science and engineering partners.
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.
Responsible for advanced predictive data analytics using big data and data science technology for healthcare innovation, performing analysis on structured/unstructured data, developing algorithms, and using tools like SAS, R, and database technologies.
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.
Lead Data Scientist designing, deploying, and monitoring ML/AI solutions (including NLP and GenAI) across Risk, Fraud, Marketing, and Portfolio Management in the payments and financial services space, using Python, SQL, and big data frameworks.
Manage a team of Data Scientists at Sanofi's Commercial Data Science division in Toronto, leading the design and deployment of AI, ML, Generative AI, and Agentic AI solutions for commercial operations using Python, cloud platforms (AWS/GCP), and tools like Snowflake.
Lead Data Scientist driving AI, ML, GenAI, and Agentic AI solutions for Sanofi's commercial pharma operations, working end-to-end from design through deployment using Python, LangChain/LangGraph, cloud platforms, and Snowflake.
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