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Bachelor’s or master’s degree in computer science, Software Engineering, Data Science or related field, or equivalent practical experience. Proficiency in data technologies, such as relational databases, data warehousing, big data platforms (e.g., Hadoop, Spark), data streaming (e.g., Kafka), and cloud services (e.g., AWS, GCP, Azure.
$65,000 - $75,000 a yearFull-timeExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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Relevant degree in geospatial related field such as: Geography, Geology, Environmental Science, Remote Sensing, Urban Planning, Statistics/GeoStatistics, Applied Mathematics, or Computer Science.
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Required skills: Programming with Python, Spark, Scala; Open-source big data tools (Hive, Spark, Kafka); AWS eco-system (Amazon EMR, S3, Presto); Airflow for scheduling and monitoring of big data ETL pipelines; SQL for data profiling and data validation; Unix commands and scripting; Hadoop fundamentals and architecture (HDFS, map-reduce, job performance.
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Proficiency in survey methodology, statistical analysis, and data visualization techniques, with expertise in software tools such as SPSS, SAS, R, or STATA. Innovation: Focus on the development and application of new methodologies, technologies, and techniques to gather data and insights including Machine learning AI, Mobile Optimized Surveys, Gamification, Behavioral economics, real-time feedback, Multimodal surveys, Blockchain technology, Virtual and Augmented reality.
$160,000 - $284,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Focus on the development and application of new methodologies, technologies, and techniques to gather data and insights including machine learning AI, mobile optimization, gamification, behavioral economics, and virtual/augmented reality.
$150ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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The creative application of artificial intelligence, machine learning and stored information to improve pattern recognition, genetic analysis and deep phenotyping of health data is anchored by our commitment to responsible, ethical and open science.
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Play a pivotal role in guiding the strategic direction for ML, NLP, LLM, and algorithm development within a world-class AI ML team, working closely with well-renowned experts in AI/ML modeling, ML engineering, data science, and data engineering.
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Bachelor’s degree in Cybersecurity, Information Technology, Computer Science, Juris Doctorate, or a related field is required, Masters preferred. Grant Thornton is seeking a Cyber Privacy and Data Protection Manager to join our team in Chicago, IL. Additional approved locations include: Atlanta, GA, Bellevue, WA, Boston, MA, Charlotte, NC, Dallas, TX, Houston, TX, Los Angeles, CA, New York, NY, Philadelphia, PA, San Francisco, CA and San Jose, CA.
$150Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Degree in a quantitative and/or business discipline preferred, examples include: Statistics, Computer Science, Data Science, Mathematics, Operations Research, Engineering, Economics.
$150ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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As a Data Engineering Lead at JLL Technologies, you will:Design, Architect, and Develop solutions leveraging cloud big data technology to ingest, process and analyze large, disparate data sets to exceed business requirements.
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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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Innovation: Focus on the development and application of new methodologies, technologies, and techniques to gather data and insights including machine learning AI, mobile optimization, gamification, behavioral economics, and virtual/augmented reality.
$150ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Preferred- Working knowledge of DevOps tools, Terraform, Ansible, Jenkins, Kubernetes, Helm. Education and/or Experience:BS degree in Computer Science, similar technical field required.
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The team will work closely with Research, Investment Operations, Data Science and Risk across topics such as portfolio construction, rebalancing, collateral management, technology infrastructure and automating processes.
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Master or PhD in relevant field (e.g., applied mathematics, computer science, engineering, applied statistics) Experience leading a data science team, ideally on- and offshore, within a life science or Healthcare industry.
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computer science big data jobs Title: associate professor assistant in Chicago, IL
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