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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Experience with cloud computing platforms (, AWS, Azure, GCP) and cloud native computingProficiency in programming languages like Python, Java, Scala, C#, SQLExpertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databasesKnowledge of data modeling, ETL processes, and data warehousing conceptsExceptional problem-solving abilities and teamwork skills.
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What You Will Do : Conduct interviews with client stakeholders to assess current metadata management and data governance capabilities and refine use cases associated with metadata management, taxonomy, and ontology development.
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Apache Hadoop or Apache Spark (for big data processing) Data Science & Machine Learning Frameworks. Data Governance & Security. Data Warehousing (e.g., AWS Redshift, Google BigQuery.
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6+ years of experience in data engineering working with big data systems that can process and transform data at scale. Lead the design of data governance policies and procedures.
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Collaborate across multidisciplinary teams—Compliance, Data Science, Model Risk Management, Data Governance, and Human Resources. This position reports to the Head of Fair Lending and works closely with the Head of Data Science, Fair Lending Compliance, and Model Risk Management to establish and lead a comprehensive and robust Fair Lending Analytics function.
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An individual who works closely with IT and business leaders across the enterprise to drive and embed the Enterprise Data Strategy into transformational roadmaps ensuring key principles of Data Governance, Data Management, Data Analytics and Architecture are implemented.
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Graduate-level degree in computer science, engineering, or relevant work experience Preferred: Understanding of ML frameworks (sklearn, TensorFlow, PyTorch, etc) Experience working with big data platforms (Hadoop, Redshift, Snowflake, etc) Architecture, design patterns, production scaling/optimization Insurance industry experience Salary range: $132,500-$197,500 Overtime eligible: Exempt Discretionary bonus eligible: Yes Sales bonus eligible: No.
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About the Opportunity: Reporting to the President of World Science U (WSU) and Executive Director of Education, or in their absence, the Director of Education, the WSS program Manager oversees daily operations of the WSS program, working intimately with world-renowned scientists and coordinating with the WSF media team to produce and film high quality courses.
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Architect, Design and develop Data Governance platform using Informatica DG products Informatica EDC AXON, -Experience configuring Informatica Data Governance using EDC and Axon, including business glossaries, dashboards, policies, search, Axon Workflows.
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Ensure data governance principles adopted, data quality checks and data lineage implemented in each hop of the data. The Data Lake team is responsible for data ingestion from internal source systems in batch/real-time modes, curation and governance of the data assets created in the platform.
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Master's degree in data science, computer science, statistics, computational linguistics or engineering preferred. 2+ year in a data science, machine learning engineering, artificial intelligence or equivalent role.
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Center 1 (19052), United States of America, McLean, VirginiaCurrent PhD - Data Science Internship - Summer 2025Key Role DetailsThis is a full-time paid internship program spanning ten weeks from June through August 2025.
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Collaborate with different teams in EDM (Data Cloud, Architecture, Data Governance Tech, Data Science) and support strategic initiatives such as data governance, data-as-a-service, and self-service analytics.
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Maintain detailed documentation of your work and changes to support data quality and data governance requirements. Ensure high operational efficiency and quality of the Data Capture platform datasets to ensure our solutions meet SLAs and project reliability and accuracy to all our stakeholders (Engineering, Data Science, Operations, and Analytics teams.
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big data governance science jobs Company: Bigcommerce Pty Ltd in New York, NY
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