Data Scientist, Senior

We are looking for a Senior Data Scientist to join our team in the defense industry. The ideal candidate will have experience with advanced data analytic techniques, programming languages, and cloud computing. The role will involve leading teams, designing and implementing analysis infrastructure, and providing insights to senior leadership.

Requirements

• 5+ years of experience with advanced data analytic techniques, including data mining, machine learning, statistical analysis, and natural language processing
• 5+ years of experience with programming in an object-oriented programming language, including Java or Python
• Experience in working with massive data sets, including structured and unstructured data, data gathering, data cleaning, data mining, and data visualization
• Knowledge of Cloud computing, data mining, and machine learning
• Knowledge of statistical methods and statistical programming languages, including R
• Knowledge of dashboard or data visualization using Tableau Desktop and Tableau Server
• Secret clearance
• Bachelor's degree
• Security+ Certification
• Implementing Cisco Enterprise Network Core Technologies Certification, AWS Certified DevOps Engineer Professional Certification, AWS Certified Solutions Architect Associate Certification, Cisco Certified Specialist Enterprise Advanced Infrastructure Implementation, Securing Windows Server 2016, Microsoft Azure Administrator Certification, Data Engineering on Microsoft Azure, AWS Certified Data Engineer Associate (DEA-C01), Windows Client, Endpoint Administrator, Linux+, CompTIA, Microsoft Certified Azure Developer Associate, ServiceNow Certified System Administrator, The Open Group Architecture Framework (TOGAF) 9, VMWare Certified Professional - Data Center Virtualization 2022, AWS Certified Machine Learning Engineer Associate, or CompTIA Server+ Exam Code SK0-005 Certification

Benefits

• health benefits
• life benefits
• disability benefits
• financial benefits
• retirement benefits
• paid leave
• professional development
• tuition assistance
• work-life programs
• dependent care