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Experience leveraging complex data to drive business decisions, hands on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Pytong, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Proficiency in programming languages such as Python, R, or SQL. Strong knowledge of machine learning techniques, statistical analysis, and data visualization tools Tableau, Power BI.
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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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Must have a strong background in one or more of the following: Mathematical, Statistics, Probability, Deep Learning, Machine Learning, Natural Language Processing, Computer Vision, Recommendation Systems, Pattern Recognition, Large Scale Data Mining or Artificial Intelligence.
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Basic knowledge and experience in statistical and data mining techniques such as: generalized linear model (GLM)/regression, random forest, boosting, trees, text mining, hierarchical clustering, deep learning, convolutional neural network (CNN), recurrent neural network (RNN), T-distributed Stochastic Neighbor Embedding (t-SNE), graph analysis, etc.
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Integrating innovative approaches to individual and team work products such as machine learning, artificial intelligence, data mining, predictive modeling, neural networks and simulation to mitigate price/value leakage across the pursuit and delivery phases of an engagement.
$113,200 - $205,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in mathematics (statistics, linear algebra, differential calculus); data visualization (Tableau, Power BI, Qlikview); programming (SQL, Python, R, Java); data analysis (feature engineering, data wrangling, EDA) and machine learning (classification, regression, reinforcement learning, deep learning, clustering, dimensionality reduction.
$113,200 - $205,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Mentor and support a diverse virtual global team of business intelligence and data analytics professionals in support of consistently delivering innovative and timely insights that integrate storytelling to influence without authority.
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A University/Bachelor’s Degree, STEM, Economics, Data Science or Analytics preferred. Strategic Pricing & Insights (SPI) group: Data and Analytics Assistant Director. 6+ years of experience in analytics, data science, and development of complex pricing models.
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A successful Data and Analytics Assistant Director delivers exceptional client service by building insights ahead of the market, creating innovative, compelling and differentiated perspectives, positioning EY to win more, win bigger, win better.
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Enhancing data handling, data hygiene, data cleaning and data modeling methods to connect structured and unstructured data using Python, R, Power Platform, SharePoint and Excel to uncover market performance improvement opportunities.
$113,200 - $205,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Executing the data engineering strategy to allow for a scalable and reliable data architecture supporting multiple platforms considering data ingestion, transformation, and storage; supported with detailed documentation and maintenance of processes, methods and procedures including Python and SQL codes.
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Certificate in business analytics, data mining, or statistical analysis, Statistical programming languages (for example, SAS, R) Techniques: Statistical Analysis, Visualization, Optimization, Machine Learning, Big Data, Data Warehouse, NLP.
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2 years of experience must include: Python; R; SQL; Hive; Tableau; Statistical modeling: linear and logistic regression; Machine learning techniques: Support Vector Machines and Random Forrest; and Exploratory and advanced data analytics.
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Oversee the development and implementation of advanced analytics capabilities, including predictive modeling, forecasting, data mining, and machine learning models, to drive informed decision-making across medical affairs, commercial operations, manufacturing, and other functional areas.
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machine learning data mining predictive analytics jobs Title: scientist Company: Exelon Corporation
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