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With data analysis tools (e.g., Python, SQL, Power BI, Snowflake, Looker) and data visualization techniques. 10+ years of experience working with data, including data mining, statistical analysis, predictive modeling, and experience leading data-driven initiatives and teams.
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ComThe RoleWe are looking for a versatile, all-rounder with a background and interest in Embedded Systems, Machine Learning and Data Engineering to help design and build Convolutional Neural Networks for Smart Sensors, help design, debug, and troubleshoot firmware for automotive IOT devices and help out with data engineering tasks, like data workflow, gathering and analysis.
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Responsibilities Direct Client Support: Provide one-on-one ABA therapy sessions to clients in various settings, including home, school, and community, following the behavior intervention plan developed by the BCBA and PS. Data Collection: Accurately record and maintain data on client progress, behavior observations, and other relevant information during therapy sessions.
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Preferred qualifications:Experience in Data Analytics (DA) technology stack (e.g., Business Intelligence, Predictive Analytics, Hadoop/Spark Data lakes, Columnar Data Warehouses, Data Streaming, ETL and Data governance.
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This engineer will develop Machine learning models and Finite Element Models for SAW/BAW resonators and will also analyze a variety of characterization and metrology data to provide feedback to the device fabrication team.
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Knowledge of frameworks like Spring Core, Spring MVC, Spring Boot, Hibernate, JPA, Spring Data, Microservices, Webservices, ActiveMQ, Shell scripting for building web applications and services.
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We are looking for a Data Scientist who specializes in machine learning (ML) application in computer graphics to join our Global Insights team. Senior Data Scientist, Computer Graphics. Hands-on applied or research experience developing machine learning models on large image/3D model data sets.
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The Staff Validation and Failure Analysis Engineer will be responsible for working with the different teams to identify failure modes and possible test methods to detect them at the initial development phase, then explore physical test methods to conduct validation, create and obtain data and do a deep analysis of the cause of a failure and the possible solutions for it.
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IT (data center, cloud, network, disaster recovery) or cybersecurity experience and/or related degree. Our largest partners include: Dell, Palo Alto, Cisco, Rubric, Nutanix, Arista, VMware, Wiz, HPE, and all three hyperscalers (GCP, AWS, Azure.
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Role: Network Data Admin. Strong Understanding Cisco SD-WAN, Cisco ACI, Cisco WiFi troubleshooting, Cisco VOIP and Multicast troubleshooting. 5+ years Hands-on experience of Installing & Configuring Palo Alto Firewalls, Cisco ASA, Fortinet and Sophos Firewalls.
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SecondaryIndustry Trend Research & Analysis Conduct in-depth research on Hydrogen/EV battery recycling industry trends, identifying on long-term business opportunities Present summary of data and trends through research, collection, and analysis of the latest market research Develop and maintain competitive intelligence databases Special Projects Conduct ad hoc projects as requested by top management.
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Experience with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery). Experience with data workflow management tools (e.g., Airflow, Luigi). Experience with cloud-based data platforms (e.g., AWS, Azure, Google Cloud Platform.
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Responsibilities (include but not limited to): Collect, organize, input, maintain and manage engineering product attribute data collection processes in various data systems (Windchill PLM, Dynamics 365 ERP and Syspro ERP.
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You exhibit strong administrative and management skills in staff management, partnership cultivation, budgetary oversight, data gathering/analysis, and stakeholder communications. Annual Campaign | Fundraising/Grants/Giving | Major Gifts Officer | Philanthropy | Planned Giving.
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Experience with cloud-based data platforms (e.g., AWS, Azure, GCP). Stay updated with emerging technologies and best practices in data engineering, and propose innovative solutions. Lead the design and implementation of robust data pipelines for efficient extraction, transformation, and loading (ETL) of large datasets from diverse sources.
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tnt data jobs in Santa Ana, CA
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