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Integrate advanced analytics and machine learning capabilities into the repository to enable data-driven insights, predictive modeling, or anomaly detection. The candidate shall independently provide system updates and enhancements, organizational processes, and systems to improve the effectiveness of both organizational strategy and operations of programs supported by DHP. This will include updating, enhancing, and maintaining the data repository and internal Power BI-based DHP Dashboard, and other program management tools to track progress efficiently and effectively toward national goals and manage/monitor DHP recipients.
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Use predictive modeling to increase and optimize customer experiences, revenue generation, data insights, advertising targeting and other business outcomes. Building predictive and descriptive statistical models using machine learning tool kit, Jupyter notebooks, Python, and/or SAS.
$196,700 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Knowledge of predictive modeling, statistical sampling, optimization, machine learning and artificial intelligence. Sr Quantitative Finance Analyst - Global Financial Crimes Modeling and Analytics (GFCMA) Team.
Full-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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This position is ideal for a data scientist with a solid foundation in software engineering, predictive modeling, and an innovative mindset ready to shape the future of our technology. Develop and integrate AI models and machine learning solutions using our tech stack: Python, AWS (including Bedrock, SageMaker), Docker, Postgres, and Ruby on Rails.
Full-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Contribute to artificial intelligence/machine learning (AI/ML) and data modeling projects. Experience with/in any of the following is preferred: Applied ML or other data science projects (e.g., Feature Engineering, Predictive Analytics, ML Pipelines); Business Intelligence (BI Tools) including Tableau, Spotfire, Qlikview, and/or Power BI; Cloud based systems on Azure or AWS.
Full-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Expertise in segmentation, forecasting, econometrics modeling, predictive modeling, graph theory, marketing effectiveness measurement and optimizations, customer behaviors, site analytics and business growth initiatives.
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Affinity for statistical analysis and predictive modeling. The Senior Data Scientist, ITS will explore and examine data from multiple sources in order to design and construct new data modeling processes using prototypes, algorithms, predictive models, and custom analyses.
Full-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Understanding of Machine Learning: Can be beneficial for predictive modeling and analysis. Experienced in the application of segmentation and predictive modeling. Helpful skills like data wrangling and machine learning understanding are a plus in this agile and innovative role.
Full-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Use predictive modeling and machine-learning algorithms to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes. Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, natural language processing, decision trees, neural networks, etc.
Full-timeRemoteExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Advanced knowledge of business ecosystems, SaaS, infrastructure as a service (IaaS), platform as a service (PaaS), APIs, Open data, Microservices, DevSecOps, Event-driven IT. Predictive analytics and AI/ML and Generative AI.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Experience with a variety ofMLandAItechniques(e.g.multivariate/logistic regression models, cluster analysis, predictive modeling, neural networks,deep learning,pricing models, decision trees,ensemble methods,etc.
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Strong understanding of NLP fundamentals, including tokenization, word embeddings, language modeling, sequence labeling, and text generation. Our ideal candidate is excited about leading project-based teams in a client facing role to analyze large data sets to derive insights through machine learning (ML) and artificial intelligence (AI) techniques.
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AI, Machine Learning, Data Science & Analytics (Required: Python, TensorFlow, Neural Networks, Predictive Modeling, LLM) You probably have a master's degree or Ph. D. in a quantitative field such as computer science, applied mathematics, statistics, engineering, or machine learning - or an equivalent combination of education and experience.
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Machine Learning Modeling: Develop and implement machine learning models, algorithms, and predictive analytics solutions to solve business problems and optimize processes. Experience with data visualization tools (e.g., Matplotlib, Seaborn) and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) is required.
Full-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Perform sophisticated analytics (statistical and predictive analytics, machine learning modeling, etc) to provide actionable insights that improve business outcomes and minimize risk and also provide consultation to business leaders and other stakeholders on how to leverage analytics insights and build strategies around analytics.
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learning predictive modeling jobs in Atlanta, WI, France
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