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Alteryx, Banking, Business, Critical Thinking, Data Acquisition, Data Analysis, Data Management, Data Operations, Data Quality, Decision Making, Financial Products, Leadership, Management Reporting, Microsoft Power BI, People Management.
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Your expertise is needed on our Finance Team to collect and manage project data in compliance with Department of Treasury’s Community Development Financial Institutions Fund (CDFI Fund) program requirements, including all CDFI programs (FA, NMTC, CMF, ERP, etc.
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Strong knowledge, experience, and fluency in a wide variety of tools including Python with data science and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch), Spark, SQL; familiarity with Alteryx and Tableau preferred.
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Experience in Deep Learning Modeling, NLP/LLM, and/or Transactional Data Categorization experience. Masters of Quantitative, Analytical, STEM fields with 5-6 years' of data science related experience.
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Experience with Data Ops (VPCs, cluster management, permissions, Databricks configurations, Terraform) in Cloud Computing environments (e.g., AWS, Azure, GCP) and associated cloud data platforms, cloud data warehouse technologies (Snowflake/Redshift), and Advanced Analytical platforms (e.g., Dataiku and Databricks.
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Center 1 (19052), United States of America, McLean, VirginiaManager, Ontology & Data ModelingThe role of the Manager of Ontology and Data Modeling is to develop, implement, and maintain enterprise ontologies in support of Capital One's Data Strategy.
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Build and deploy batch and streaming pipelines to collect and transform our rapidly growing Big Data set within our hybrid cloud architecture utilizing Kubernetes/EKS, Kafka/MSK, and Databricks/Spark.
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Proficient with software used for data mining, statistical analysis, and data visualization (SAS, SQL, R, SPSS, Qlik, Power BI, Tableau, etc.) in order to construct a robust, accurate, 360-view data environment that is unique to each clientDemonstrated performance excellence in one or more of the following computer languages: SQL, SAS, R, PythonEmploying techniques such as a case-control study, regression analyses, principal component analyses, clustering exercises, propensity scoring, classification, ROI calculation, etc.
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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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A Tier I technician will gain an on-the-job understanding of the mechanical, electrical, fire life safety, and security systems used in a data center environment including, but not limited to the following: electrical distribution and layout, transformers, PLC’s, generators, switchgear, UPS systems, STS’, ATS’ PDU’s, chilled water systems, CRAC/CRAH’s, pre-action sprinkler systems, security hardware, CCTV, monitoring, and CMMS systems.
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National Data ManagementSupport HCSC leadership (Data Board and Data Board Advisory Subcommittee) with regards to national provider data strategy and operations. This position is also responsible for supporting HCSC leadership, sales and account management teams; serving as HCSC's business owner over all BCBSA national provider data and ensure point solution vendor compliance with InterPlan policy.
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Strong experience with Cloud Data Warehouses such as AWS Redshift, Snowflake, BigQuery, Databricks. Stream Processing: Experience with Apache Kafka, Apache Spark or similar for real-time data processing and stream analytics.
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Minimum of 10 years of designing solutions utilizing key data providers and hyperscalers (e.g., Snowflake, Databricks, AWS Sagemaker / Bedrock, GCP AI Platform / Vertex AI, and Azure). Minimum of 10 years hands-on experience working with large scale data solutions; covering strategy, data preparation, data quality, ETL, data viz.
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Prepare property insurance policy data for catastrophe risk analysis using SQL and other data conversion tools, and run catastrophe modeling software for client and prospect portfolio analyses.
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Data Evangelist: Promote data product adoption through training and webinars. Best Practices: Establish and adopt best practices for analytical insights, ensuring data integrity and usability.
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data job in Chicago, MN, Us
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