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We work alongside product teams across MI ES on break-through ideas using tools and techniques spanning the entire spectrum of Data Science, Statistics, Machine Learning, Deep Learning, NLP, Gen AI, Operations Research, Data and Machine Learning Engineering.
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We are seeking computational postdoctoral researchers with a strong background in machine learning and an interest in developing and applying quantitative methods to problems in translational cancer biology and cancer data science.
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The Analytics Experience team, which is part of the Artificial Intelligence, Data and Advanced Analytics (AIDA) organization is responsible for the creating a seamless experience for analytics experts to harness the potential of big data, machine learning, and interactive analytics through a unified platform across the enterprise – from scientific/clinical to commercial across all Pfizer geographies.
$242,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Data Scientist Senior Manager on the Apollo team, you and your team will be responsible for building both batch and real-time machine learning pipelines to resolve billions of businesses, individuals and transaction records and extract valuable insights.
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Experience leading and mentoring a team of data scientists building machine learning/AI demand forecast models to execute forecast strategy. Education: Bachelor’s degree or higher in Engineering, Computer Science, Statistics, Machine Learning, Operations Research or related field.
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Previous experience in a technical role such as a data scientist, solutions architect, machine learning engineer, AI consultant, etc. As the Program Manager, you will own the direction of program initiatives and work with both the technical and business development teams on the execution and delivery of AI and machine learning (ML) projects.
$253,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Prior experience in delivering impact using statistical analysis, predictive modeling, and machine learning. Build predictive models using statistical and machine learning techniques used for classification and regression.
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Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information.
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Description:The Finance Data Science & Analytics team drives strategic decisions for the business by applying statistical, innovative, analytical approaches and machine learning techniques.
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Advanced proficiency in SQL, Python, statistical testing, and machine learning frameworks essential. Apply sophisticated data science techniques like segmentation, predictive analytics, and journey mapping to enhance understanding of fan behaviors.
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Demonstrated track research record in the fields of statistics, machine learning, computational biology, data science or related field (computer science, physics, biostatistics, bioinformatics.
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Use your data analytics and science expertise to derive valuable insights from datasets, build predictive models and machine-learning algorithms. Experience with building models, machine-learning, NLP.
$116,000 a yearFull-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Data Scientist Interns at Microsoft use machine learning, statistics, experiments, and more to build and improve great products while making business impact. Participate in the peer review process and act on feedback while learning innovative methods, algorithms, and tools to increase the impact and applicability of your results.
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Strong expertise with predictive modeling, machine learning, data mining, forecasting, and advanced analytics. This seasoned professional will be responsible for using advanced analytics, predictive modeling, and machine learning to optimize performance, improve customer profiling and retention activities, and enhance overall marketing effectiveness across DJ's products.
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Bloomberg Media is looking for a dedicated and experienced Machine Learning engineer to join the Media Data Science team. The Media Data Science team provides recommendation systems, machine learning applications and models for the media organization.
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machine learning jobs Title: data science in New York, Anoka, Minnesota
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