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As part of the Decision Sciences team, the Principal Data Scientist will be responsible for creating analytical solutions for one or more verticals of NBCUs video streaming service including, but not limited to, dynamic pricing, messaging optimization, CRM solutions, and customer value assessment.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$132,000 - $264,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience leading teams in data analytics and data visualization, including selecting and applying the appropriate analytical techniques for statistical analysis, predictive modeling, simulation, and machine learning.
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We're on the lookout for an accomplished Staff Data Scientist to join the Data Engineering & Analytics team at StubHub. In this role, you'll play a pivotal part in crafting and deploying cutting-edge machine learning models that drive business and operational choices within StubHub's dynamic ecosystem.
$240,000 - $350,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Implement data processing and transformation workflows using Databricks, Apache Spark, and SQL to support analytics and reporting requirements. Strong experience with Databricks and Apache Spark for data processing and analytics.
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Working knowledge of one or more analytical software platforms (e.g. SAS, SPSS, R, Alteryx or open source data mining tools such as Python). - Previous work experience in database marketing, data mining and predictive modeling (Work experience or projects.
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Expertise in data modeling, predictive and prescriptive analytics techniques, machine learning, and SQL query optimization; strong understanding of data governance, data quality, and data security principles.
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Bachelors Degree in a relevant field and 4 years in a cloud database administrator role or a related role such as an analytics engineer, data engineer, data analyst, data scientist, data architect.
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Machine Learning and Deep Learning: Good understanding of: ML algorithms like linear regression, logistic regression, etc., supervised, unsupervised, and reinforcement learning, AI Frameworks like TensorFlow, PyTorch, scikit-learn etc., Neural network, NLP, computer vision, and predictive analytics.
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Five to 10 years’ experience implementing RCM, CbM/PdM methods, operating building automation and energy management systems, and thorough understanding of asset management, data analytics, and capital planning approaches.
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On the Data Science team, we're looking for someone who is comfortable working on a variety of ad auction and placement optimization problems, using experimentation to improve our ads systems, and helping to lead our team in balancing monetization and quality of experience considerations across our streaming service.
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Job DescriptionJob DescriptionLuminary Group is currently partnered with a leading life science company who are seeking a highly skilled and experienced Senior Data Scientist with expertise in Real World Evidence (RWE) to join their team.
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The QM Analytics Manager also retains responsibility for the development of program forecasting models and actual and predictive quality program dashboards to ensure provider pay for performance program budgets and QM/Plan quality goals are identified, tracked, and met.
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Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence.
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data scientist quality source predictive analytics jobs in New York, NY
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