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8+ years of relevant professional experience including managing data science and analytics projects, with a background in performing data science and analytics using tools such as Python, R, SAS, SQL, Tableau, Power BI, etc.
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Languages: Familiarity or proficiency in languages commonly used in data science, like Python, R, or Scala. Containerization: Familiarity with Docker, Kubernetes, etc., for scalable deployment of data science applications.
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Fraym is seeking a Senior Data Analyst to play a vital role in the mission of supporting decision-making for our public sector national security customers. 5+ years experience using R, Python, or Stata for descriptive and econometric analysis of micro-data.
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Experience with enterprise cloud economicsUnderstanding of enterprise data management concepts (Data Governance, Data Engineering, Data Science, Data Lake, Data Warehouse, Data Sharing, Data Applications)Hands-on expertise with SQL and SQL analyticsIndustry benchmarking experience in major industries such as: Financial Services, Retail, Travel and HealthMust Have Skills: DBT, Snowflake, SQL, PythonNice to Have Skills: Airflow, AWS Data analytics services, Scala, PySpark, Great Expectations.
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Graduation from an accredited college or university with a bachelor's degree in analytics, informatics, mathematics, survey design, statistics, data science, computer science, healthcare administration, or a related field; Plus two years of professional work experience in data research, quantitative analysis, statistics, data science or data analytics.
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Experience supporting DTRA Cloud Technologies, Data Engineering/Data Science knowledge, Cloud technologies, Analytic Tools. The ideal candidate will have a diverse skillset, with expert knowledge in areas including data engineering, data science, data stewardship, governance, quality assurance, knowledge management; and data management life-cycle.
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We are looking for an experienced statistical & data specialist with an interest in serving the community and contributing to the success of the Community Services Board (CSB). As a member of the Community Services Boards' Analytics & Evaluation Team, ensures agency data quality, provides data management, statistical analysis, and supports the strategic initiatives of the Community Services Board.
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Bachelor's degree in engineering, mathematics, computer science, data analytics, or other scientific or technical discipline and 5 years of relevant experience. The Data Analyst/Data Engineer will integrate with cross-functional teams specializing in architecture development, solutions analysis, intelligence functional expertise, and Defense Acquisition processes informing the development and implementation of Information Technology (IT) business processes, programs, plans, and guidance for Defense Intelligence warfighting support to the CCMDs and the integration with MPE.
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To that end, we seek qualified data science candidates interested in applying their skills to organizational and educational assessment challenges. Are you interested in using innovative data science to help make decisions in high-stakes assessment settings affecting individual employees, students, members of the military, and credentialed professionals.
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Proficient in Hadoop, Azure Data Catalog, Microsoft Power BI, Data Architecture, Apache Spark. Novice skill level in Python, Agile Frameworks (SAFE), Microsoft Databricks, Snowflake, Azure Data Factory, HDInsight, Hive (Apache), Cognos.
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Degrees and backgrounds preferred: Public Policy, Government, International Studies, Accounting, Finance, Business, IT, Computer Science, Audit readiness, Data Science, Communications, STEM majors.
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Associate Degree in Drafting, or related physical or geospatial science such as Civil Engineering Technology, Construction Technology, Cartography, Information Technology, Computer Science, Urban Studies/ Planning, Architecture, Engineering, Interior Design, Geography, or Construction related field.
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Serve as a computational linguistic expert responsible for leading and managing data analytical and linguistics research project to analyze users' utterances and improve the Natural Language Processing (NLP) model of the virtual assistant.
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Provide training support and mentoring to operations personnel, enhancing their knowledge and skills in data science and advanced analytics. Present project updates and outcomes to both technical and non-technical audiences, highlighting the impact of data science solutions.
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Trainees gain interdisciplinary skills in data science, sensing, and imaging; and engage in participatory design with community stakeholders to create data-driven solutions that enable individuals to participate fully in needed and desired life roles and activities.
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data science jobs Title: senior data engineer in Springfield, VA
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