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Experience solving Big Data batch and real-time data processing problems, with large-scale analytics and data processing engines such as Apache Spark and Databricks. Knowledge of Python data science tools, such as SciKit, Numpy, TensorFlow, Jupyter.
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Certification in big data technologies or cloud data services ● Knowledge of Qlik/Qlik Sense, QVD/QlikView, and Qlik Production Application Standards (QPAS) is a significant plus Benefits: Our client provides a comprehensive benefits package designed to support your health, financial well-being, and professional development.
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Transform your career to the next level with GDIT as a Solutions Architect where you can elevate your skills in Data Science, Machine Learning, or leading AI techniques and technology expertise into solutions in support of our Government customers.
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Experience in cloud environments with a blend of data science skills (remote sensing, physics, geospatial, imagery process, etc) and computer science understanding is a plus for this position.
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Bachelor's degree (master's degree desired) in related field required (preferably in Geography, Social or Behavioral Science, Computer Science, Information Systems, Math or Statistics, Earth or Geo Science, Life, Physical or Environmental Science, Engineering, Business, Data Science, Data Visualization.
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As a Data SME, your expertise in Data Science, Data Visualization, and Data Engineering will be pivotal in shaping the future of our data-driven capabilities.
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You will be responsible for providing data integration and analysis services working principally with Microsoft SQL Server, though may work across a number of technologies and in several other disciplines including data modeling and data science, working with data lake-based solutions.
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Lead the development and enhancement of a shared enterprise data environment that meets a diverse set of Analytics, Reporting, and Data Science federal requirements. 3+ years experience with Big Data technologies, such asApache Hadoop, Hive or Spark, Databricks and/or Snowflake.
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Experience in Bioinformatics or Data Science, including independent algorithm/software development and analysis of next-generation microbial sequencing data. Qualified candidates will hold a Bachelor's degree in an appropriate area of specialization plus 5 years of relevant professional experience.
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5+ years of overall experience in the field of data science, with a proven track record in predictive modeling or a similar analytical role. Experience with data visualization tools (e.g., Tableau, PowerBI) and big data technologies (Hadoop, Spark.
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As a subcontractor we are providing services from: DevSecOps , software development, network administration, systems analysis, database administration, storage engineering, hardware engineering, Tier 1 – Tier 3 support in traditional data center environments (bare metal frames), cloud , and hybrid cloud.
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As a big data engineer at Booz Allen, you’ll implement data engineering activities on some of the most mission-driven projects in the industry. As a data engineer, you know that organizing big data can yield pivotal insights when it’s gathered from disparate sources.
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Demonstrated experience working with large data sets, survey dataset experience is a plus. Other Qualifications: Master’s degree in computer science, information systems, data science, analytics, statistics, economics, public health, biostatistics, epidemiology, social science, mathematics, or relevant field preferred.
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Skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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big data science a plus jobs Company: Endeavor in Alexandria, VA
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