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6 years of experience must include: Ab initio, Informatica, Data Stage; Teradata, IBM DB2, Cognos, Oracle PL SQL; Autosys, Control-M, Erwin, XML, HTML, CSS, Unix Shell Scripts; Data Analysis, Data Processing, Code Optimization, Performance tuning; Automating Business Process and Models; Microsoft Visio, Web Services, Crystal Reports; and HP Quality Center, ALM, VSS, EME, XSD. At least 3 years must include: Hadoop, HDFS, Big Data, Hive, Spark.
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Qualifications: Bachelor’s or Master’s degree in Analytics/ Data science (or) any Math/Statistics/Quant background, or Bachelor’s degree in Information Technology or Computer Science with proven experience in data engineering/ business intelligence tools especially strong understanding of database concepts and data modeling.
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Data entry, data review, and GPS use. REQUIREMENTS:BS/BA degree in natural science field of study required. Working knowledge of sub-meter accuracy GPS technologies and map interpretation skills (e.g., NWI, USGS, aerial photography.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Machine learning Positions. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT.
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Technical Acumen:Perform model training and validation using various types of machine learning techniques on structured/unstructured data, including imagery, text and graphs. Technical Oversight:Provide technical guidance on model training and validation using various machine learning techniques on structured/unstructured data, including imagery, text, and graphs.
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Support vendor risk management and DPIA programs to ensure third parties comply with the Firm’s privacy and data protection requirements. This role requires Data Loss Prevention (DLP) program experience, including conducting investigations related to data loss, data exfiltration, or unauthorized access or use of data, or experience using eDiscovery solutions or similar technology.
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Minimum of 5 years of experience in IT compliance, Data Governance, risk management, and technical security, with a strong focus on PCI DSS. Lead PCI DSS (Payment Card Industry Data Security Standard) compliance efforts, including annual assessments, audits, and reporting.
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Assemble and analyze Health, Environmental, Safety, Security, Process Safety, Product Stewardship, Medical and Compliance Assurance data to identify appropriate metrics, trends, and exceptions to compete at world class HES&S performance.
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Note: Data Annotation payment is made via PayPal. We will never ask for any money from you. Fluent in English● A bachelor's degree (completed or in progress)● Excellent writing and grammar skills● Strong research and fact-checking skills to ensure accuracy and originality● Previous experience as a Freelance Writer, Content Writer, Editor, Copywriter, Copy Editor, or those with experience in journalism and/or media is preferred but not required.
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Cloudera Data Platform (CDP), CDS, Kubernetes & Docker services. Work experience on Cloudera Data Platform (CDP) and good knowledge on data migration from Hortonworks (on-prem)/MapR to CDP (public/private) Cloud.
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About this role: Wells Fargo is seeking a Senior Quantitative Analytics Specialist (SQAS) to join its Decision Science and Artificial Intelligence (DSAI) group within Model Risk Management (MRM.
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Major ResponsibilitiesGain familiarity with MUFG Bank’s financial crimes systems, including sanctions screening, transaction monitoring and know your customer (KYC), to be able to document data flowing through these systems and analyze data input/output for testing the integrity and quality of data.
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Experience with cloud-based data warehousing solutions (e.g., BigQuery, Redshift, Snowflake) Utilize, apply & enhance GenAI models using state-of-the-art techniques like transformers, GANs, VAEs, LLMs (including experience with various LLM architectures and capabilities), and vector representations for efficient data processing.
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Experience with Identity Resolution, CDP or Master Data Management solutions. Knowledge of data management concepts including modeling, quality, control frameworks, governance, master data management, metadata management, identity resolution, etc.
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Minimum Qualifications Bachelor’s degree (or foreign equivalent) in computer science, information technology, software engineering, or related field; plus 3 years of experience in job offered or SAP ABAP development.
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spark data science jobs Company: Intuit Inc in Irving, TX
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