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Statistics, machine learning , data mining, data auditing, aggregation, reconciliation, and visualization. Provide independent data science, machine learning, and analytical insights using member, financial, and organizational data to support mission critical decision making for various areas of the organization.
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Experience in Data Science, Data Mining, Machine Learning, Predictive Modeling best practices. Experience in Data Science, Data Mining, Machine Learning, Predictive Modeling best practices.
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Agility to collaborate and influence peers and business partners as organization matures across Enterprise Marketing Data & Analytics (e.g., marketing and ad tech. 4 years of experience in managing, and mentoring data science, data engineering, and/or analytics teams in the financial services industry.
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4 years of experience in managing, and mentoring data science, data engineering, and/or analytics teams in a highly regulated environment. 10 years of experience working in data and analytics, including data governance and data innovation across an organization developing strategies, managing major initiatives, and delivering.
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Demonstrated depth in advanced analytics / data science technologies (e.g., machine learning, operations research, statistics, structural equation modeling, factor analysis, data mining, NLP techniques.
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Apply data mining, NLP, and machine learning to real-world problems and datasets. We are hiring for a high-impact, critical role - Adobe's first Data Scientist within the Firefly Analytics and Data Science Team.
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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.
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You will drive both short term and long-term research initiatives in areas such as artificial intelligence, machine learning & data mining, natural language processing, bigdata systems, information and data visualization, social & cognitive science.
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Integrating innovative approaches in 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.
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The solutions developed draw on IT-RI’s strong capabilities in statistical modeling, machine learning, natural language processing, information retrieval, statistical genomics, data mining, and big data management and analytics.
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Java, Python, ScalaExperience in Natural Language Understanding, Computer Vision, Machine Learning, Algorithmic Foundations of Optimization, Data Mining or Machine Intelligence (Artificial Intelligence.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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We are interested in a variety of topics including data visualization and interactivity, applied machine learning and AI, AI bias and trust, big graphs, natural language processing, data mining, big data management, and heterogenous data analytics.
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Perform research in spatial and/or temporal (ST) data mining, ST databases, ST statistics; machine learning and cybersecurity, digital forensics, and/or remote sensing. You will provide support to spatial and/or temporal data mining; AI; ML; spatial and/or temporal databases; cybersecurity; video, images, and digital forensics; spatial and/or temporal statistics; and automation.
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Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
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