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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.
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EDUCATION:Bachelor’s degree or higher in Computer Science, Data Science, or related technical discipline. They lead by example, building high-performing data pipelines and data stores that are efficient, organized, and reliable.
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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.
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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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Experience with large scale enterprise applications using big data open-source solutions such as Spark, Kafka, Elastic Search / Solr and Hadoop, HBase- Experience or knowledge of basic programming and DB's technologies (SQL, Python, Cassandra, PostgreSQL, AWS Aurora, AWS RDS , MongoDB, Redis, Couchbase, Oracle, MySQL, Teradata.
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The Litigation & Practice Technology ("LPT") Principal reports to the Managing Director of Litigation & Practice Technology and is primarily responsible for directing, supporting, and participating in a team of ediscovery and data science specialists dedicated to defining and executing workflows focused on thoughtful analysis and production of client documents and data.
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Lead IA risk assessment of data privacy and participate in forums related to the evolution of controls and governance over data privacy. Lead the planning, scoping, and execution of audit and consulting projects, including guiding the development of new audit work programs in data privacy.
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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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Bachelor of Science (BSEE is preferred) with a minimum of 8 years of field commissioning experience as a site lead engineer. 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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Basic Qualifications: A bachelor's degree, preferably in a technical discipline, e.g., computer science, data science, engineering, applied mathematics, or closely related field or equivalent on-the-job experience.
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You will help clients in all aspects of data controls such as improving data quality, establishing mapping and lineage across the data supply-chain, and lead initiatives to resolve long-standing quality issues through data controls testing.
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Bachelor’s degree in computer science, Engineering, IT, Management Information Systems, or a related discipline Experience in Python and SQL Experience in ingesting data from a variety of structures including relational databases, Hadoop/Spark, cloud data sources, XML, JSON Experience in ETL concerning metadata management and data validation.
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Directly engage in model peer reviews across data science community. Data Science is a driver of significant competitive advantage for Kemper and is critical to the organization’s success.
$125,100 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated 6 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.
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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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data science jobs Title: data science lead Company: Springboard in Chicago, IL
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