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Familiarity with Databricks SQL.Experience with Big Data technologiesFamiliarity with Machine Learning (MI) and Artificial Intelligence (AI) concepts and their application in data analysis.
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You will have a good understanding of business intelligence tools, data warehouses, master data management, data integration, documents and content, data modelling and design, ML/Big Data, analytics and dashboarding.
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A minimum of six years' experience in providing complex consultative services in the following focus areas: information strategy, big data architecture, information/data governance, master data management, data quality, data integration particularly in a life science or healthcare setting.
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Data Governance, Lineage and Quality (Collibra, Solidatus, Informatica, Alation, Snowflake, Ab Initio, One Trust, or Big ID. Must have 3 years of experience using technologies, frameworks or methodologies for data ingestion, storage, mining or warehousing, big data analytics, manipulation, or visualization.
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Experience with big data platforms and cloud (Snowflake, AWS, Azure, etc) In addition, you will help our clients modernize their information management approach and procedures for areas such as: "agile" governance for big data, practice management and many other rapidly evolving opportunities.
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Experience with big data technologies (e.g., Hadoop, Spark, Databricks, Snowflake) and cloud platforms (e.g., AWS, Azure). As a Senior Manager within Axtrias Data Science COE you will have the responsibility to apply AI/GenAI and data science to solve business problems for functional areas within Biopharma/Oncology, relating to Sales and Marketing, Medical Affairs and/or Clinical.
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Requirements: Requires a Bachelor’s degree (or foreign equivalent) in Computer Engineering, Computer Science, or related field and 5 years of progressively responsible, post-baccalaureate experience as a Data Analytics Manager, Data Engineering Manager, Software Developer, or related position involving Big Data analysis in Retail and Commercial Banking domain in Hadoop ecosystem.
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POSITION SUMMARY:We re a leader in the pet care category and part of the world s largest food company so you can imagine our salesforce is BIG. In pet care, we focus our sales efforts within the retail and veterinary sales channels to ensure we re at the forefront of consumers.
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As a Data Scientist at Capital One, youll be part of a team thats leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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Utilize experience with Languages: UNIX Shell Scripting, SQL; Operating Systems: Windows; Services and Support Tools: MS Office 2010, Winscp, Informatica Master Data Management; Version Control Tools: GitHUB; Big Data Technology: Informatica Big Data Quality and Informatica Data Engineering Integration, Hive, HDFS; Databases: SQL Server; Data Wrangling: Informatica Enterprise Data Prep.
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Experience with master data management and data governance. ) data & analytics in Target Screening, Lead Optimization, Vaccines, Lab – Dry & Wet, Instrumentation, LIMS, CMC and other relevant areas.
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Experience in data product development at enterprise scale, including on cloud platforms, Spark or other big data ML systems, and comfort using Jira, Slack, Teams, and other collaboration tools.
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Big data” doesn’t faze you. Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, Pytorch, Tensorflow and more — to reveal the insights hidden within huge volumes of numeric and textual data.
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Approximately 8-10 years in designing developing and implementing data and analytics strategies and solutions including data management, quality management, master data management, big data, AI, ML, IoT, and other emerging technologies.
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The Card Fraud Data Science team builds the machine learning models that help protect our customers and Capital One against fraudsters. Center 1 (19052), United States of America, McLean, VirginiaManager, Data Science - Card Fraud Detection Data is at the center of everything we do.
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big data jobs Title: data manager
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