Dew Softech Inc
Data Scientist II
Norfolk, Virginia, USA · Mid · Full-time
No sponsorshipDetected 55 days ago
PythonJavaC#SQLMachine LearningData AnalysisData ScienceData VisualizationSAPLeadership
About the role
- Data Scientist II Location: Norfolk, VA (Hybrid) Duration: Fulltime Interview: Video Our client is seeking Data Scientist II to support the Federal client and help bring cutting edge data analytics to the Navy Fleet Shipyards. Key Areas of Responsibility Assist in the stand-up (both technical and functional) of the Data Analytics Lab located at NAVSEA Naval
- Shipyards, recommend software/hardware analytics and data management toolsets, and recommend functional responsibilities for the other SMDAL staff members. Assist in the development of data procedures and policies, govern data assets, and improve the quality and access to data across the organization. Analyze and streamline the processes and technology for
Requirements
- Strong leadership and ability to work within cross-functional groups.
Nice to have
- Bachelors degree in Computer Science, Data Science, Computational Science, or related field Masters of Science Degree in Computer Science, Data Science, Computational Science or related field.
- Assist in the development of data procedures and policies, govern data assets, and improve the quality and access to data across the organization.
- Assist in the implementation of industry best practices, selection of enabling tools and technologies, driving innovation, and contributing to new service offerings for our ship maintenance stakeholders.
- Assist in the development of policies and procedures to ensure corporate data systems information protection, data governance, data quality, and data life cycle management.
- Active Secret clearance or higher.
- Bachelors degree in Computer Science, Data Science, Computational Science or related field and 9+ years experience working in the field.
- Ability to concisely and convincingly communicate (both verbally and written) with both technical and non-technical stakeholders.
- Experience using data for descriptive, diagnostic, predictive, and prescriptive analytics.
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