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Related Bachelor’s degree in Data Science, Applied Mathematics, Computer science (e.g. specialization: Machine learning/Artificial Intelligence /Visualization, databases, and Big Data), Statistics, Epidemiology, Health Services Research, or closely related field with Data Science specialization or additional related equivalent work experience.
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The specific areas of interest are not restricted and may include expertise in: artificial intelligence (including machine learning and neural networks), computer vision, predictive modeling, electronic health records, big data analytics, digital health and wearable devices, health informatics and clinical research informatics.
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At least 4 years of experience in data engineering working with Big Data Technologies: Apache Spark, Pyspark, Hadoop, and DataBricks with delta lake. Requires a minimum of a bachelor's or foreign equivalent degree in Management Information Systems, Computer Science and Engineering, or a related field plus 4 years of experience as a software developer, data engineer, or related occupation.
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In-depth and applied knowledge of data engineering tools and techniques, including ML Ops, Databricks and/or Snowflake, AWS, DBT, AI/GenAI Data Pipelines, Data Automation, Python, Model Monitoring, and Alerting.
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Accurate data is the top priority for our Geomatics team. You are familiar with boundary survey principles and Record Maps, Surveys and ALTAs∯*∯ You are self-motivated and have the ability to work independently and/or supervise a field crew to collect data utilizing GPS/GNSS and conventional survey techniques as well as perform data reduction and drafting of the final survey product.
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As a Senior Data Engineer on the MMA National IT Data and Analytics Team, we will count on you to develop and maintain scalable data pipelines, enhance data models, and provide subject matter expertise in data acquisition and consumption pipelines on Azure, Databricks and Confluent.
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Ensures best-practice CRM data processes for the Institutional Giving team in partnership with operations staff, Strategic Partnerships team, and prospect research to ensure consistent and comprehensive data support, tracking, analysis and required reporting in support of funder/sponsor growth strategies, planning, and coordinated activities.
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Experience utilizing, designing and leading data programs with one or more of the following products: Oracle OFSAA, Oracle ADW, Oracle FAW, OAC, Power BI, Power Query, Amazon AWS (Redshift and Related Toolsets) and/or Microsoft Azure.
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Monitor alarms and video cameras, manage physical security access control standards and permissions for all building badge and key access permissions for the Corporate Campus and remotely manage the Richfield Data Center, Bloomington Data Center, Bloomington Distribution Center, and Best Buy Health Sites.
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Some preferred areas include vendor risk management, cybersecurity response and resilience, cloud security, data governance and security, endpoint and server technologies, intrusion detection and prevention systems, identify access management and access control, and threat vulnerability management.
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Programming experience (Matlab, Python) Experience in image processing and analysis Experience with MRI data, in particular diffusion MRI processing and analysis skills Peer reviewed research publications in reputed journals in the field Preferred Qualifications: Experience with MRI data in neurological disorders such as Amyotrophic Lateral Sclerosis (ALS) and Parkinson's disease.
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You must be familiar with image processing, machine vision, and data engineering, and even better if you are interested in 3D rendering, deep learning, and computer graphics. This is a full-time Image Data Engineer position in Cleveland, OH, with potential flexibility for remote work.
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Knowledge of work with the US Government in the area of CFIUS in highly complex cases, where data protection is required. Install structure and excellence over Enterprise Governance & Cybersecurity Risk Assessments, Data Privacy, Internal Audit, and strategic client projects.
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AgVerdict software platform combines soil fertility data, satellite imagery, real-time weather, and sensor data, machine data, geospatial data, scouting data, and data from many more sources to help farmers make the right decisions from planting to harvest to maximize yield.
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5+ years of experience working with data & analytics concepts such as SQL, ETL, ELT, reporting and report building, data visualization, data lineage, data importing & exporting, and data warehousing.
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big data jobs Company: Oc Tanner in Minneapolis, MN
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