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We work alongside product teams across MI ES on break-through ideas using tools and techniques spanning the entire spectrum of Data Science, Statistics, Machine Learning, Deep Learning, NLP, Gen AI, Operations Research, Data and Machine Learning Engineering.
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The Asset Management Quant Research Engineering team is looking for a Director of Data Engineering who wishes to take on the challenge of building a world-class data operation. Director, Quant Data Engineering.
$218,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience in developing Data Warehouse/Data Marts using, as examples, OBIEE, OBI APPS, Cognos, Business Objects, SPSS, SSIS, SSRS, Informatica Power Center, OWB and ODI. · Experience on design and development of Data Warehouse Architecture for Enterprise Data Warehouse (EDW), Operational data Store (ODS), Operational Data Marts and Data Marts.
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Ensure documented data requirements from client teams including the Marketing Intelligence & Science team to understand the measurement framework, the most critical metrics to implement for database build and business logic for data stitching.
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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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Current PhD - Data Science Internship - Summer 2025. If you're interested in a long-term career at Capital One, the Data Science internship could be a great way to begin your career journey.
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Ability to migrate the Data Science models written on native python language to the multi node Databricks compute. Qualifications and Skills IT professional experience in Azure Cloud with over 5+ years of Azure Development Ability to recreate existing legacy application logic and functionality into Azure Databricks/Data Lake, SQL Database and SQL Datawarehouse environment.
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This role will report to a Director of Data Engineering. BS/MS or above in Computer Science or relevant experience Experience with data warehouse technologies: MapReduce, HDFS, Hive, Tez, Spark, Sqoop.
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Demonstrated experience related to AML, Know-Your-Customer (KYC), Transaction Monitoring, and Sanctions data, technology, and deep analytics experience. Data analytics project experience related to one or more of the following: transaction monitoring data analysis and system implementation, development of customer risk rating models, customer segmentation, threshold tuning, customer/account/transaction data modelling, management and quality assessment, model validation, and/or Know-Your-Customer data remediation.
$252,450 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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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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O Database Management System: Storing, organizing, managing, and delivering data using relational DBs, NoSQL DBs, Graph DBs, and data warehouse technologies including AWS Redshift and Snowflake.
$156,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience using relational databases (e.g. MS SQL Server, MS Access, or Oracle) and data visualization tools (e.g. Spotfire, jReview) Serve as Clinical Data Scientist and Trial Lead for one or more clinical trials assuming responsibility for all CDS activities including selection and application of data acquisition standards, Data Management Plan, selection of quality risk indicators, third party study data due diligence.
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You will be embedded on the Orchestration team that runs workflow scheduling applications and data ingestion infrastructure that helps power the analytics, operations, and data science behind our flagship streaming applications - Disney+, Hulu, ESPN+, and Star.
$219,200 a yearFull-timeExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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Experience with cloud data services such as Redshift, Relational database services (RDS), Snowflake and Databricks. Hands on experience in data engineering desired with extensive knowledge of SQL and PySpark, on Databricks Platform.
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Responsibilities:· Collaborate with the CIO and Director of Technology to develop a data vision that aligns with the organization's goals. · Hands-on experience with data warehousing, data lakes, and analytics platforms (e.g., Snowflake, Redshift, BigQuery.
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data job Title: science director Company: Humana in Jersey City, NJ
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