Who We Are: Founded in 2007, SimIS Inc. is an innovative information technology solution Veteran Owned Small Business (VOSB) that models future environments, requirements, and capabilities, and then secures the enterprise from internal and external threats compliant with Federal, State, and industry standard governance to ensure client mission success. Our performance standard is “excellence,” with an outcomes-based, quality focus in our services and products, guided by our core values of honesty (in word and deed), relationships (confidence and trust with clients and partners), teamwork (shared goals, mission, and purpose), loyalty (allegiance to our client and team), and importance of others (work and win as a team). SimIS is currently recruiting for the listed position.

Job Description

NATO HQ Supreme Allied Command Transformation (NATO SACT) is seeking contract support to access to leading-edge capabilities necessary to adapt to future threats, integrate advanced technologies to modernize the force, explore long-term military strategy to shape how NATO's forces will operate in the future, and promote interoperability between current and next-generation platforms. To support our NATO customer, SimIS seeks a Senior Data Scientist to apply business and data manipulation principles and methods to technical problems to arrive at automated solutions and support the development and integration of emerging technologies to support NATO force design and strategic decision making.

Education And Qualifications

Master’s degree in Data Science, Computer Science, or Statistics.
8 years of data science experience in defense/security sectors.
5 years’ experience in designing, developing, and maintaining big data platforms/fabrics.
Experience in AI/ML and predictive analysis applications.
Expertise in Programming Languages: Python, R, SQL, Spark, TensorFlow/PyTorch.
Expertise in Data Visualization tools (Tableau, Power BI, D3.js).
Coding knowledge/experience: Java, JavaScript, C, C++, etc.
A Data Science Professional Certificate is highly desirable.

Responsibilities

Support cloud-based big data design and development requirements for software prototypes, systems, and applications.
Provide cloud-based solutioning for internal R&D efforts to develop software prototypes and technical documentation.
Evaluate R&D prototypes and develop software technical documentation, specifications, and user guides.
Develop and evaluate data requirements, perform data analysis on large data sets, translate raw data into usable knowledge and information, and provide expertise on creating usable data constructs.
Interpret results from multiple sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining independently; designs, develops and implements the most valuable business cloud solutions for the organization.