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The PositionThe Science Engagement Division at the Adler Planetarium (Adler) is seeking candidates for a Postdoctoral Fellowship position in the field of Data Science, with an emphasis on Remote Sensing and Geospatial Analysis.
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The Walt Disney Company Direct to Consumer's (DTC) Data Science team combines deep data analysis and research of our rich user data to present a compelling vision around user retention and preferences across the vast ecosystem of our product offerings and content.
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Working experience in security technologies such as: Security information and event management (SIEM), IDS/IPS, Data Loss Prevention (DLP), Proxy, Web Application Firewall (WAF), Endpoint detection and response (EDR), Anti-Virus, Sandboxing, network- and host- based firewalls, Threat Intelligence, Penetration Testing, etc.
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TRKKN is a full service provider for the Google Marketing Platform and Google Cloud with an interdisciplinary team of experts from the fields of Digital Analytics, Conversion Optimization, Ad Tech, Advanced Analytics & AI, Cloud Engineering and Tech & Data Strategy.
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Bachelor's or Master's degree in a quantitative field such as Computer Science, Data Engineering or related discipline. Stay up-to-date with the latest advancements in data science, machine learning, and related fields, and apply them to improve existing processes and methodologies.
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Assist in field data collection, management, and analysis to support environmental assessment and impact studies, hydrodynamic modeling, habitat restoration, and other similar projects. Bachelor's degree in Biology, Environmental Science, Fisheries, Ecology, Natural Resources, Environmental Planning, or a related field.
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As Bayer Crop Science's digital farming arm, we advance regenerative agriculture and technology breakthroughs using the latest agronomic science, data science, engineering, and real-world farming experience.
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3+ years orchestrating and implementing pipelines with workflow tools like Databricks Workflows, Apache Airflow, or Luigi 3+ years of experience prepping structured and unstructured data for data science models.
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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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The Generative AI Systems (Genesis) team within Card Data Science builds state-of-art, generative AI-based solutions for dialogue, text summarization, reading comprehension, speech recognition, image/document processing as well as time-series sequencing modeling.
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Candidate will be given the opportunity to learn and make use of sophisticated tools (SQL, Alteryx, Informatica, SAS, Tableau, SSRS, DataRobot etc) and technologies (Big data like Hadoop, Python/R Programming, AI/Data Science,) to provide customized automated solutions across multiple business segments.
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Experience of working with data science platforms - especially DataIKU or databricks. Quantitative and data science skills, for example knowledge of statistics, probability theory, optimization or machine learning.
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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.
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We are seeking a skilled Data Science Engineer who will be responsible for overseeing the maintenance and improvement of current machine learning implementations within our Revenue Cycle line of business.
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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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data science jobs Company: Google in Chicago, IL
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