Senior Data Scientist

Key Skills

Java Programming, Python Programming, Database, SQL, Large scale data processing

Job Description

SAIC's Principal Data Scientist will support missile and space experimentation, test, and analysis efforts for customers such as US SPACECOM, US Space Force, and the Missile Defense Agency, located in Colorado Springs, CO. The Principal Data Scientist will use enterprise tools to work with highly complex and large data sets to implement code and configurations to support analytics within a data ecosystem. By using these implementations and methods, the Principal Data Scientist will advance several efforts in support of our nation's space interests. Analysis of large volumes of data will require non-linear, continuous, and discrete data algorithms in fields such as sattelite parameters, sensor characteristics and coverage, propulsion systems performance, constellation design, and system of systems capital and operating costs. The Scientist must analyze and understand complex problems to express analytical processes in modeling and statistical languages. The Scientist will work with modeling and simulation experts and systems engineers to tune system parameters based on test results. The Scientist will conduct research and implement appropriate machine learning algorithms and tools and develop machine learning applications.

Qualifications

Required Education: Bachelors and nine (9) years or more experience; Masters and seven (7) years or more experience ; PhD or JD and four (4) years or more experience. Degrees in Applied Mathematics, Computational Statistics, and Operations Research and Systems Analysis are highly preferred.

Required Clearance: Must possess an active Secret clearance.

Desired skills include:

• Design and development of complex, large-scale, data systems
• Firm understanding of statistical modeling and techniques including maching learning
• Experience creating machine learning models using machine learning or deep learning frameworks
• Ability to understand and analyze data models - how the data is stored in relational databases
• Experience developing data visualizations
• Strong organization and time management skills - prior experience in leading a small, dispersed team is preferred
• Excellent oral and written communication skills