Noblis is seeking a Data Scientist/Instructor in Springfield VA.

This role will primarily focus on providing support to Fundamental (2000) learning levels and courses, with a secondary focus on Intermediate (3000) learning level courses, both levels within the Data Science content area.

The selected candidate is able to build upon the knowledge taught at the introductory learning level (1000), in order to effectively handle fundamental (2000) learning level/course tasks.

Have a thorough understanding of the concepts and skills related to data science and can apply these skills in routine and none routine situations. The candidate shall be able to apply tradecraft skills through problem based exercises culminating in exams. The candidate shall demonstrate solid data science tradecraft skills and an understanding of how data science tradecraft contributes to addressing key intelligence questions. 

Job Responsibilities

• Responsible for leading individual projects, people, or technical/functional solutions 
   
   
• Work on advanced problems or assignments of large scope, impact, and importance, applying broad and deep knowledge of professional specialty and business dynamics 
   
• Work on assignments in multiple business or technical areas; apply advanced concepts and understanding of policies, procedures, and techniques 
   
• Build and maintain effective relationships for customer service and project support; demonstrate initiative and proactively identify and communicate needs 
   
• Influence at the team or department level; participate in policy and procedure development 
   
• Receive general supervision, apply seasoned judgment autonomously 
   
• Understand the current and emerging client space and evaluate and apply practical and innovative concepts and methodologies to solve difficult problems 
   
• Independently complete routine work 
   
• Make recommendations to improve standard practices, procedures and tools 
   
• Employ advanced skills and grow project deliverables, as well as your expertise

• US Citizenship is required.
• Active TS/SCI with the ability to obtain a CI Polygraph.
• A bachelor’s degree from an accredited (i.e., regional, national, or institutional) academic institution, related to their assigned area of expertise (i.e., Computational Thinking, Programming, Statistics, or Data Visualization).
• Minimum 5 years of experience focusing on the concepts and applications of data analytics, computer science and programming, data modeling, Artificial intelligence and machine learning.

• TS/SCI CI Polygraph.
• A master’s degree from an accredited (i.e., regional, national, or institutional) academic institution, related to their assigned area of expertise (i.e., Computational Thinking, Programming, Statistics, or Data Visualization).
• GEOINT experience.

Overview

Noblis and our wholly owned subsidiaries, Noblis ESI and Noblis MSD, take on some of the nation’s toughest challenges, delivering advanced solutions to our customers’ most critical missions. We bring together leading scientific, engineering, and management expertise in a culture grounded in objectivity and collaboration, ensuring our work creates lasting impact across federal missions.

We work with a broad range of government agencies in the defense, intelligence, and federal civilian sectors. Learn more and find opportunities at careers.noblis.org

Why Work at Noblis

At Noblis, we share a passion for excellence and innovation, and we create an environment where people can do meaningful work while maintaining the balance that keeps them energized and fulfilled. We seek out individuals with a natural curiosity and desire to collaborate and learn. We believe our people are our greatest strength, and we consistently seek exceptionally skilled, mission‑driven professionals who care deeply about doing work that enriches lives and makes our nation safer.

Noblis has earned numerous workplace awardsfor our culture, our commitment to employee well‑being, and our dedication to meaningful, impactful work. We also maintain a drug‑free workplace.

Remote/hybrid status is subject to change based on Noblis and/or government requirements.

All qualified applicants will receive consideration for employment without regard to race, color, ethnicity, sex, age, national origin, religion, physical or mental disability, pregnancy/childbirth and related medical conditions, veteran or military status, or any other characteristics protected by applicable federal, state, or local law.

If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact us.

EEO is the Law  |  E-Verify  |  Right to Work

At Noblis we recognize and reward your contributions, provide you with growth opportunities, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, and work-life programs. Our award programs acknowledge employees for exceptional performance and superior demonstration of our service standards. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in our benefit programs. Other offerings may be provided for employees not within this category. We encourage you to learn more about our total benefits by visiting the Benefits page on our Careers site.

Compensation at Noblis is determined by various factors, including but not limited to, the combination of education, certifications, knowledge, skills, competencies, and experience, internal and external equity, location, clearance level, as well as contract-specific affordability, organizational requirements and applicable employment laws. The projected compensation range for this position is based on full time status. For part time or on-call staff, compensation is proportionately adjusted based on hours worked. While monetary compensation is important, it's just one component of Noblis’ total compensation package.