Data Modeler

Key Skills

Java Programming, Python Programming, SQL, R Programming

Job Description

Are you looking for a career where you can build a better world with innovative technology? If so, meet SAIC. You will join a diverse group of professionals who are highly engaging and a lot of fun to work with.

SAIC is seeking a detailed-oriented professional for a Data Modeler position. Applicable candidates may have skill sets including those with Finance backgrounds, Program Cost Control Analysts, Strategic Pricing, and Statistics, or those interested in becoming a Data Scientist. This position offers intermediate level candidates the opportunity for eventual transition into Data Science.

• The qualified candidate will be a part of a small, agile team supporting document analysis through the development and maintenance of data models for a customer in the US Intelligence Community. 
• The qualified candidate is a problem solver able to organize large volumes of data using Excel in a cogent and useful manner, with precise attention to detail. 
• The qualified candidate will work with domain knowledge experts to determine and apply selectors querying large data set. 
• Training is available for obtaining advanced Excel skill, SQL, Python, and the unique Sponsor databases.

Qualifications

• Must have a current/active TS/SCI with Polygraph
• Requires a Bachelor's degree in mathematics, data science, engineering, statistics, or a related subject. OR 4 additional years of relevant experience may be substituted in lieu of degree.
• Requires minimum of 1 year demonstrated experience with developing statistical models to include confident intervals and hypothesis testing
• Requires minimum of 1 year of experience using Excel, specifically pivot tables, writing macros, and graphing
• Requires minimum of 4 years of experience in applied quantitative analysis and data science, including bulk data analytics
• Must have experience using statistical analysis software applications
• Must have experience with application of data science and analytic methodologies
• Must have experience with visualization tools such as Tableau, Pivotal Chorus, MADLib products, or graphs generated with R
• Requires minimum 1 year of experience using and creating SQL to include creating/querying tables, joining tables, and extracting data across multiple data sets
• Must have experience in R, Python, or similar language, specifically writing original code not running previously generated code.
• Must be creative problem solver and critical thinking skills
• Must be high initiative, creativity, persistence, and ownership of work and a strong focus on producing tangible results