Data Scientist II
Norfolk, Nebraska, United States of America
Contract
6 days ago
Key skills
PythonJavaC#CSQLRMachine LearningAnalyticsBusiness IntelligenceTableauOracleSAPLeadership
About this 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 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.