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Requires SQL for data warehouse work and Python (and/or R) for development of machine learning functions. We are seeking a Data Analysis/Scientist will collect, analyze, and interpret vast amounts of product and service data from various enterprise systems using analytical, statistical, and programming skills within KLA's Global Support Services (GSS) business unit.
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Research Scientist (Data analytics, Machine Learning, Computer Vision) page is loaded. In this role, you will acquire a deep understanding of the data acquisition pipeline in KLA’s optical inspectors.
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PhD degree in Computer Science, Data Science, Bioprocess Engineering, Manufacturing Engineering, Biotechnology, Bioengineering, Chemical Engineering, or a related field with no more than 3 years of Postdoctoral experience.
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Experience with ETL/ELT tools like ADF, Informatica, Talend, etc., and data warehousing technologies like Azure Synapse, Azure SQL, Amazon Redshift, Snowflake, Google Big Query, etc. Strong experience with big data tools(Databricks, Spark, etc.
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As the Vice President of Sales at Wesco Data Center Solutions (WDCS), you will play a pivotal role in spearheading and directing sales initiatives, focusing specifically on the dynamic Bay Area market.
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Hands on experience in Qlik Sense development, dashboarding and data modeling and reporting (ad hoc report generation) techniques. Qlik Sense Software Engineer (Data) Experienced in data integration through extracting, transforming, and loading (ETL) data from various sources.
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Design, implement, and maintain robust DevOps pipelines for deploying, monitoring, and scaling machine learning development and data engineering. You will apply modern ML Ops, Devops, and data engineering stacks to enable development, training, deployment, and lifecycle management of a variety of ML capabilities; supervised and unsupervised, deep learning and classical.
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Need AWS +DevOps + Data & Terraform Job Title: AWS Data Infrastructure Architect Duration: Full time Hire- Fully remote Key Responsibilities: Architect, design and implement unified data access for various personas like data engineer, data analyst, data steward by simplified access control mechanism which supports governance on AWS and non-AWS assets.
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Knowledge, Skills, and Abilities (KSAs): Data Extraction; Data Mining; Data Visualization Tools; Statistical Programming Language; Relational Database Management; Project Management; Written Communication.
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You will provide data support to key H projects including: Improve threat assessment Client performance to match or exceed human analysts for executive threats and threats against Meta Ship executive risk factor measurement capabilities, providing each executive with a risk score and commensurate risk mitigation services Automate threat actor investigations Ship global security GenAI chat bot.
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Azure Cloud on data integration with Databricks. Extensive experience providing practical direction within azure native services , implementing data migration and data processing. using Azure services: ADLS, Azure Data Factory, Synapse/DW /Azure SQL DB, Fabric.
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Serve as a PLM Analyst and/or Data Steward within the PLM and ERP database systems – Propel and SAP. The Zoetis Veterinary Medicine Research and Development (VMRD) group is looking for a PLM and Data Management Lead to join our rapidly growing diagnostics division in Union City, CA. The PLM and Data Management Lead will be a key resource to support the implementation and rollout of PLM at our Diagnostic facility by answering questions related to PLM, and create, review and process changes related to product related items (parts and documents) in various systems.
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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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Supports various projects by doing analysis & design, drawing mark-ups, tolerance stacks along with generating source data for engineering changes. Solid modeling experience with NX and Creo desired.
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Bachelor's degree in Statistics, Data Science, Applied Mathematics, Computer Science, Business Analytics, or related quantitative disciplines (Master's degree preferred) Deep understanding and experience with advanced statistics, time series forecasting, machine-learning models, best practice application of data science in a business context (e.g., back-testing & piloting), model architecture, and use cases.
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Title: data Company: Pwc in Fremont, CA
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