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In addition to being a hands-on developer with experience in business intelligence, analytics, data science, and data products, the ideal candidate will have strong command of the principles of large-scale database development, data modeling, data mapping, data testing, data quality, and documentation preparation.
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Conducting research and benchmarking to provide context and best practices for HR data analysis and interpretationCollaborating with HR and business partners to understand their data needs and provide solutions that support their goals and initiativesEnsuring data quality, accuracy, and compliance with data governance and privacy standards Requirements:Education: A bachelor’s degree or higher in human resources, statistics, data science, business, or equivalent related experience.
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Degree in a data related field computer science, management science, information technology, statistics), public health, medicine or healthcare, healthcare policy, public policy, social science, economics, or related field with 8 or more years of experience.
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Extensive expertise with Apache NiFi Java Java Spring Boot microservices AWS (Redshift Athena) and big data technologies. Provide technical expertise in Java programming Spring Boot microservices and big data technologies in an AWS cloud environment (Redshift Athena etc.
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Familiarity with data science including analysis and reduction techniques, numerical algorithms, control systems, big data, and deep learning concepts. Educational/Experience Requirements:Masters or PhD in Electrical Engineering, Physics, Image Science, Remote Sensing, Optics, or other Physical Science or Engineering degree is required.
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Basic QualificationsBachelor’s degree in data science, justice, social work, psychology, education, or other social science related subject. Strong interest and/or experience in related topics such as refugee, immigrant, and unaccompanied children; child welfare; capacity building; technical assistance; culturally responsive evaluation; participatory evaluation; implementation science and/or continuous quality improvement (CQI) Prior work experience in a consulting environment.
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Background with Data Science tools such as R, Python, and SAS is a plus. Experience with Azure cloud computing, including big data technologies such as Azure Databricks cluster management.
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We use Agile and DevSecOps principles to provide services including application development, biometrics and identity management, cloud and infrastructure optimization, IT and legacy modernization, and data management.
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Possess an understanding of the mechanical, electrical, and fire life safety 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.
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Provide independent data science, machine learning, and analytical insights using member, financial, and organizational data to support mission critical decision making for various areas of the organization.
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Demonstrated expertise in photogrammetry, remote sensing, image science, information sciences, geographic information systems, geomatics, or related fields. Desired: Master’s degree or higher in Systems Engineering or in a related technical or scientific fields such as Engineering, Physics, Mathematics, Operations Research, Engineering Management, Computer Science, Information Technology, Management Information Systems, or related STEM degree program.
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Demonstrated ability to understand Industry Data Management or Data Risk/Security related certification including Certified Data Management Professional (CDMP), Certified Information Security Manager (CISM), Certified Risk & Information System Control (CRISC), or Certified Information Privacy Professional (any discipline) (CIPP.
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Knowledge in Synthetic Aperture Radar (SAR), Electro-Optical (EO), Geographic Information Systems (GIS), Geospatial Data. Bachelor’s degree in engineering, sciences, Computer Science, Physics, Applied Mathematics, or related technology field.
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Qualifications Minimum Qualifications: Bachelor’s degree in marketing, communications, public relations, political science, business administration, or a related field from an accredited university.
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We are in search of a highly motivated candidate to join our talented Team. Job Title: Sr. Data Engineer Location(s): Mclean, VA Must have: 5+ years of experience with Python, SQL, Airflow, Spark, AWS (EMR, Lambda) Nice to have: Scala, Snowflake The candidate will be collaborating with other engineers and following the Agile Methodology.
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data science jobs Company: Endeavor in Reston, VA
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