Data Scientist, Level 3
At a glance
Mid-level Data Science role at Independent Software. Annapolis Junction · full-time · no salary stated · we estimate $130,000–$190,000.
Independent Software has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Create automated methods to split language data into tokens and tag it with parts of speech
- Process spoken and written language, then apply Python and data science methods to analyze it
- Compare model output with human annotations of speech and text, using the results to improve model performance
- Document technical results and coordinate with technical and mission teams on project work
What you bring
- You have strong Python skills and experience with NLP and natural-language data
- You have built automated systems for data processing or analysis
- You have a degree in a related technical field and meet the experience threshold for that degree level
- You hold an active TS SCI clearance with the required polygraph
Who this fits
This role suits someone applying Python and NLP to spoken and written language data, including work to assess analytical models. You need a master's degree with six years of relevant experience, a bachelor's degree with eight years, or an associate's degree with ten years. An active TS SCI clearance with the appropriate polygraph is required.
From the employer
What You Will Do:
As a Data Scientist Level 3 at Independent Software, you will support mission-focused Natural Language Processing (NLP) and data science efforts involving spoken and written language data. You will develop automated solutions for processing, tokenizing, annotating, and analyzing natural language data and help evaluate and improve existing analytical models.
Key Responsibilities:
- Develop and support Natural Language Processing (NLP) solutions
- Process and analyze spoken and written language data
- Develop automated methods for tokenizing natural language data
- Develop automated solutions for annotating language data with parts-of-speech information
- Evaluate and improve existing models by comparing performance against human-generated speech and text annotations
- Apply Python and data science techniques to language-processing challenges
- Support development and evaluation of machine learning and AI-based solutions
- Analyze results and document technical findings
- Collaborate with technical and mission teams to support project objectives
Required Skills and Qualifications:
- Strong Python programming skills
- Experience with Natural Language Processing (NLP)
- Experience processing and analyzing natural language data
- Experience developing automated data-processing or analytical solutions
- Strong analytical and problem-solving skills
- Ability to work with complex datasets and communicate technical findings
Education and Experience:
Candidates must meet one of the following:
- Master's degree plus six (6) years of relevant experience; OR
- Bachelor's degree plus eight (8) years of relevant experience; OR
- Associate's degree plus ten (10) years of relevant experience
Degree must be in Computer Science, Computer Engineering, Information Systems, or a related technical discipline.
Clearance Requirement:
- Must possess an active TS SCI with appropriate Polygraph to be considered for this role
Why Choose Independent Software:
At Independent Software, our people are the mission. We’ve built a company around collaboration, integrity, and innovation and we make sure our team has the tools and support to grow, succeed, and thrive.
When you join us, you will:
- Support critical national security missions that matter
- Be part of a close-knit, employee-first culture where your voice is heard
- Expand your skills through ongoing training, mentorship, and career development
- Enjoy competitive compensation, generous benefits, and work-life balance
Ready to take the next step in your career? Join us and be part of something bigger.
Apply today.
We’re an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
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