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Utilize programming languages like Scala, Python and Open-Source RDBMS and NoSQL databases and Cloud based data warehousing services such as ADLS/Cosmos etc. Data Engineering experience focused on batch and real-time data pipelines development, Data processing/data transformation using ETL tools such as databricks.
$76,000 - $236,500 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Must have experience using various Geospatial tools such as Arc GIS, Excel, SPSS, SAS, MatLab, R, or other statistical packages, to analyze and visualize operational data; visualize data both temporally and spatially to assist in data integrity checks, prepare analysis, develop next level queries, prepare presentations materials, and display analytical assessments for senior leadership.
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Extracting features from a variety of sources including but not necessarily limited to rasterized nautical charts, digital hydrographic survey data and ortho-rectified imagery; writing Python Scripts in ARCGIS to improve efficiency of the production process; Data Conversion/migration.
$48,100 - $86,950 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Senior Data Engineer (Python, Kafka, Databricks, AWS) 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.
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Will provide support on a number of payment model implementation contracts requiring intermediate SAS, R, Python, or SQL experience as well as knowledge of statistics and research methodology.
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Leverage AWS cloud services like S3, Kinesis, Redshift, EMR, Glue, Lambda, and others in combination with Data Lakehouse platform/Apache Spark Integration for advanced data processing and analytics.
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Analytics Expertise: Serve as a subject matter expert across our solutions offerings such as database marketing, marketing campaign reporting, investigative descriptive analytics, and propensity modeling while leading and individually contributing to analysis tasks including Excel, R, SQL, Python, and SAS.
$150ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficiency in common geospatial software applications and tools, such as visual programming (JEMA, FADE/MIST, ECO/ETAS), Python, SQL, Git, GIMS, A WS Sagemaker, A WS Cloud, ESRI ArcGIS, statistics (descriptive, Bayesian), Markov-Chain modelling, TensorFlow, Linear Algebra, R, SAS, NLP. 3+ years of relevant experience with a bachelor’s degree.
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DUTIES AND RESPONSIBILITIES Develop, implement, and support scalable data integration (ETL/ELT) processes, covering storage, ingestion, cleansing, curation, unification, presentation, using new or current technologies (Azure SQL Server, Data Factory, Salesforce, Qualtrics, Drupal, Python, Power BI, Power Apps) Develop and enhance data architecture to directly improve operational efficiency for the business, continuing to build out an enterprise-level data ecosystem.
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Knowledge of digital cartography, image processing, geographical information systems (GIS), geospatial production techniques and NGA digital data formats Ability to utilize geographic names information from the GNDB. Ability to analyze imagery and non-imagery source information for application to NGA hydrographic products and databases.
$60,000 - $65,000 a yearInternExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficiency with query languages such as Python, R, SQL, or SAS, mechanics, implementation, and impact modeling- Preferred. Exceptionally strong analytical abilities, with track record of identifying insights from quantitative and qualitative data- Required.
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Programming Languages: Strong programming skills in Python, Scala, R & H2O. ●Data Visualization: Proficiency with data visualization tools such as Tableau, Power BI, or similar.
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Strong programming skills in Python, R, SQL, and React. Utilize programming languages such as Python, R, and SQL to develop and deploy NLP and AI models. As a Data Analytics Engineer, you will be responsible for designing, developing, and implementing natural language processing (NLP) and AI-based solutions to enhance our products and services.
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Proficiency in common geospatial software applications and tools, such as visual programming (JEMA, FADEMIST, ECO/ETAS), Python, SQL, Git, GIMS, AWS Sagemaker, A WS Cloud, ESRI ArcGIS, statistics (descriptive, Bayesian), Markov-Chain modeling, TensorFlow, Linear Algebra, R, SAS, NLP.
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Proficiency in SQL, SAS, R, Python or Spark. This role resides within the Forecast Modeling team that supports risk modeling for Finance, Treasury, and Operational Risk. Models are used for various purposes such as CCAR, CECL, Capital, Asset/Liability Management, Loss Forecasting, and financial planning.
$207,900 - $431,900 a yearFull-timeExpandApply NowActive JobUpdated Today
python r data jobs Title: scientist Company: Inc in Arlington, VA
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