Data Scientist II

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 using data to manage ship maintenance operations, and draw valuable insights from data through data science and business intelligence. 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. Minimum Requirements 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. Experience building and leading data management and analytics projects and initiatives for Federal clients. 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. Knowledge of big data technology infrastructure and environments. Proficient in a broad range of data tools and technologies (e.g., Oracle, SQL, SAP IQ, etc.), visualization/analytics tools (e.g., Tableau, Qlik, MicroStrategy, SAP Business Objects, etc.), as well as machine languages (e.g., Python, R/RStudio, Java, C#, SQL, etc.) Experience in developing machine learning models. Results-driven, creative, and analytical. Strong leadership and ability to work within cross-functional groups. Preferred Qualifications 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.