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Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
$184,000 - $248,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. Swish is seeking a talented NLP Engineer to join our team and help us push the boundaries of what is possible with machine learning in the field of sports analytics.
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Perform data mining, statistical analysis, and predictive modeling. Job Description:The Data Scientist will be responsible for analyzing complex datasets to extract actionable insights, develop predictive models, and support data-driven decision-making processes.
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What Additional Experience Makes A Strong Candidate: 4+ years of production experience with Scala 4+ years of production experience with Micro Services / Streaming Services Experience addressing ML problems, particularly in domains such as Time Series, Computer Vision (CV), Natural Language Processing (NLP), and data mining Proficiency with popular ML frameworks (Xgboost, TensorFlow, PyTorch, etc.
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The courses may include Foundations of Data Analytics and Programming, Advanced Excel for Data Analytics, Data Governance, Management and Quality, Data Visualization-Power BI, Data Visualization-Tableau, Data Privacy and Integrity, Data Protection, Descriptive Analytics, Predictive Analytics, Data Complexity, Cloud Analytics, Big Data, various programming courses and concepts involving python, r and ML, and database courses (including MySQL, Microsoft SQL Server and NoSQL alternatives.
$1,054 an hourPart-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Advanced proficiency with data mining, mathematics, and statistical analysis Advanced pattern recognition and predictive modeling experience Knowledge of machine learning frameworks (scikit-learn, TensorFlow, PyTorch) and data visualization tools.
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The contractor shall serve as SCO technical and sustainment manager /executor for the AMC Predictive Analytics Suite (APAS) and Vantage data platform. The contractor shall analyze data requirements and map and manage evolving requirements to capabilities in APAS, Vantage, Advance Analytics (ADVANA), and Strategic Support Area Business Reporting Environment (SABRE.
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O9 Solutions is looking for an experienced, talented, and motivated Lead Data Scientist to come join our global team in NA or EMEA. As part of this Data Science team, you will be involved in the end-to-end delivery of our supply chain planning products and building advanced forecasting models with Predictive Analytics, Machine Learning and AI with algorithms such as R, and Python.
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Projects require thorough understanding of the Penn data warehouse, relational database technology and extensive use of MS Access, Excel, and descriptive statistics for data mining, data analysis, machine learning, and Artificial Intelligence techniques and to prepare client presentations and reports.
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Prior intern/research lab experience using one of the Machine Learning Engineering / Data Engineering tools – Databricks, Snowflake, Airflow · Extensive Visualization Experience –Tableau/PowerBI work portfolio · Prior intern/research lab experience with ChatBot AI – NLP, Deep Learning, LLM.
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Collaborates with leaders from supply chain, sales, finance, operations, and other departments to identify and prioritize data analytics needs, ensuring a unified and integrated approach to BI.Guides the development of predictive analytics and machine learning models that provide enterprise-wide insights for proactive decision-making.
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Helps team advance on plans for use of artificial intelligence, including Natural Language Processing, ChatGPT, predictive analytics, and leveraging machine learning to find hidden insights in data.
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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.
$163,300 - $244,900 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Amida is currently looking for a Data Engineer to join our team in Washington, DC. In this role you will work across our client engagements, providing expertise in machine learning algorithms, natural language processing (NLP), data collection, data analysis, data mapping, data profiling, data mining, data modeling, and data visualization.
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As a member of the Data Engineering team, the Machine Learning Engineer will work closely with Business domain experts and Data Scientists to solve real-world oil and gas midstream problems using advanced analytics, machine learning, and artificial intelligence.
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learning data mining predictive analytics jobs Title: scientist Company: Exelon Corporation
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