Senior Data Scientist (N)

SimIS simisinc.com Open · verified Oct 24, 2026

Norfolk Full-time Senior Data Science

At a glance

Senior Data Science role at SimIS. Norfolk · full-time · no salary stated · we estimate $150,000–$205,000 across the United States.

Estimated pay

SimIS has not published a salary for this role. The figure below is our estimate, not theirs.

$150,000 – $205,000

What the middle half of senior data science roles in the United States paid, among postings that did state a salary.

Worked out from 487 postings that stated pay, median $175,500. Last updated Oct 24, 2026.

RoleData Science

SenioritySenior

LocationNorfolk

EmploymentFull-time

Role brief

dataroles summary, based on the employer's posting.

What you'll do

Support cloud-based big data work for software prototypes, systems and applications
Build cloud solutions for internal research efforts and prepare the technical documents they need
Assess research prototypes and write their specifications, technical documentation and user guides
Analyze large datasets, turn raw information into usable knowledge and shape practical data constructs
Use methods from statistical aggregation to data mining to interpret findings and deliver cloud solutions

What you bring

A master’s degree in data science, computer science or statistics
At least eight years of data science work in defense or security
Five years designing, building and maintaining big data platforms or fabrics
Hands-on experience with AI/ML and predictive analysis applications
Expertise in Python, R, SQL and Spark, plus a visualization tool such as Tableau or Power BI

Who this fits

This senior role suits someone with defense or security data science experience and a background building big data platforms. The position is fully on-site in Norfolk.

From the employer

100% ONSITE

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.

Benefits: