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We create open-source solutions that collect, reconcile, transform, and standardize data for business intelligence, predictive analytics, decision support, and user transactions.
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Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management.
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This position is part of an established and mature cyber intelligence program that evaluates closed and open-source cyber intelligence sources to keep our client apprised of emerging threats relevant to the department-s mission.
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Experience in statistical detection of potential healthcare fraud and abuse, using tools, such as predictive modeling, development of mathematical models, neural networks, healthcare data analytics, and data mining.
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Improve the quality of data and usability by driving an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions.
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2+ years of open-source intelligence (OSINT) analysis. The Global Disinformation Index was born out of this need for data, specifically the need for transparent, independent neutral disinformation risk ratings across the open web.
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This high performing team works with clients to implement the full spectrum of data analytics and data science, from data querying and data wrangling to data visualization and dashboarding for business intelligence (BI), to predictive analytics, machine learning, and artificial intelligence.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. The team tackles problems of massive scale, with a critical data footprint that has bottomline business impact, resiliency & availability requiring the best techniques within Big Data Analytics and Machine Learning, all while providing a superior analyst experience on our tools.
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There are various disciplines involved in Enterprise Data & Analytics, including: data source identification and analysis, data engineering, data visualization & data science/machine learning.
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In business for more than 52 years, we excel in full-spectrum cyber, data collection & analytics, enterprise IT, and systems and software engineering solutions that support national and homeland security.
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4+ years of data warehousing experience (Redshift or Snowflake) 5+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) As a Capital One Senior Manager Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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3+ years of work experience in an analytics, data quality, or data ops role. Be the point person on data quality: the first to respond, the last to sign off, the one who defines the telemetry and taxonomy standards for the organization.
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Experience with data analytics (e.g. descriptive statistics, predictive modeling, data visualization), and this can include significant academic projects. Provide support for multidisciplinary study teams and perform study planning, coordination of modeling and simulation tasks, evaluation of study results, evaluation of contractor detailed designs, data extraction and analysis, and briefing to senior program leadership.
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Experience applying data analytic methods (Statistical Analysis, Predictive Modeling, Time Series Analysis, Geospatial Analysis, and Data Visualization) in an operational environment.
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Manage Google Analytics implementation, set up events in Google Tag Manager, document tracking requirements for engineering team and verify data layer is firing appropriately. Knowledge of business intelligence software (ie Power BI, Tableau, Kibana) and web analytics tools (ie Google Analytics, Google Tag Manager, Looker Studio, BigQuery.
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data scientist quality open source predictive analytics jobs in Washington, DC
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