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.