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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.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Under the guidance of the Community Data Manager, the Community Restorative Justice Hubs’ Coordinator, and the Executive Director of the Institute on Public Safety and Social Justice, the Data Specialist will provide data monitoring and analysis support for a network of community-based violence prevention organizations.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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This spans all data engineering at Kin from data intake, data management, data modeling, data science infra (model lifecycle management) and data ops. Being a thought leader on best practices in data engineering and having a nuanced understanding of data science and AI applications.
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3+ years of experience in one of the following; Engineering, Computer Science, Networking, IT, Cyber Security or Information Systems OR Bachelor's Degree in one if the following; Engineering, Computer Science, Networking, IT, Cyber Security or Information Systems.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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That's mission-critical communications devices and networks, AI-powered video security & access control and the ability to unite voice, video and data in a single command center view. With the growth of data services some of our customer’s mobile wireless networks are being enhanced with LTE infrastructure for applications such as live mobile video transmission supplementing our traditional core voice and narrow-band data networks.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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As a data engineer, you have experience spanning traditional DW and ETL architectures and big data ecosystems like Databricks / Snowflake / EMR / Airflow. Dropbox is looking for a Data Engineer to join our Finance Data Engineering (FDE) team to build out next generation Financial data pipelines that power crucial business decisions throughout the organization including metrics (ARR, Churn) that are reported externally to Wall St. The team is responsible for curating Gold Datasets (user, team, product etc) that are the source of truth for analytics and operations at Dropbox.
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Advanced degree (or equivalent) in Financial Engineering / Quantitative Finance, Math, Statistics, Data Science, Engineering, Economics, or other relevant program. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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The ideal candidate will be responsible for designing, developing, and enhancing the Python data science tools and frameworks. Machine Learning Engineer – Work From HomeWe are seeking a talented and self-motivated Machine Learning Engineer to join the growing data science efforts.
Full-timeWork from homeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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You will be helping clients in areas such as (but not limited to) Data Governance, Metadata Management, Data Architecture, Data Modelling, Data Quality, Document and Content Management, Master Data Management, Open Data, Personal Data Protection, Data Security.
Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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EDUCATION:Bachelor’s degree or higher in Computer Science, Data Science, or related technical discipline. Expert Microsoft t-SQL and DAX development skillsExtensive experience using various data modeling techniques (Kimball, Inmon, or Data Vault)Experience using the Power Platform, particularly Power Bi and Power AutomateExperience in a multicloud environment, with a focus on GCP.
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PLC, RTU (Remote Terminal Unit ), DCS (Distributed control system ) and Computer controlled SCADA (Supervisory Control and Data Acquisition) systems with a focus on power delivery equipment and paralleling switchgear operations and mandatory understanding of power delivery equipment as it pertains to data center and healthcare application.
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DEPARTMENT: Statistics and Data Science The Methodology and Quantitative Social Sciences department implements state-of-the-art methodologies and develops innovations to deliver reliable data and rigorous analysis to guide critical programmatic, business and policy decisions for NORC clients.
$88,000 - $157,000 a day (equity)ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Developing insights on large scale data, performing ad-hoc data cleaning and statistical analysis as neededCommunicating results to rating analysts, senior management, and other key stakeholdersDeveloping reports for regulators and other external partiesMentoring and managing the focus of quantitative modelers Desired Skills and ExperienceMinimum Requirements:BS/MS/PhD in a quantitative discipline (econometrics, statistics, mathematics, physics, computer science etc.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Understanding of enterprise data management concepts (Data Governance, Data Engineering, Data Science, Data Lake, Data Warehouse, Data Sharing, Data Applications.
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The Department of Health Informatics and Data Science and the Center for Health Outcomes and Informatics Research (CHOIR) at Loyola University Chicago invites applications for two immediate postdoctoral research positions opening in medical informatics for a one-year tenure.
ExpandApply NowActive JobUpdated 3 days ago
data science jobs Title: program manager in Chicago, IL
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