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Principal Data Scientist (Partial Telework)

Pay
$200,000–280,000/yearAnnual period assumed — pay source
Location: Annapolis Junction, Maryland (Partial Telework of 16 hours per week is expected) Note: Telework granted for this position does not become available until after the individual has been in the position for a period of time, has acclimated to tasking/duties, and has meaningful work that can be done remotely. Telework can also be removed at any time. Salary Range: The salary range for this full-time position is $200,000 to $280,000. Our salary ranges are determined by position, level, skills, professional experience, relevant education and certifications. The range displayed on each job posting reflects the minimum and maximum target salaries for this position across our projects. Within the range, your salary is determined by your individual benefits package selection. Your recruiter can share more about the specific salary range for your preferred position during the hiring process. Benefits:
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Work setting
Working pattern needs review — work setting source
Tired of being treated like a company drone? Tired of promised adventures during the hiring phase, then dropped off on a remote contract and never seen or heard from the mothership again? Our engineers were certainly tired of the same.
Data Visualization: Skills in data visualization tools (such as Tableau and Matplotlib) help communicate findings effectively. Creating charts, graphs, and dashboards is crucial for making data understandable to stakeholders. Location: Annapolis Junction, Maryland (Partial Telework of 16 hours per week is expected) Note: Telework granted for this position does not become available until after the individual has been in the position for a period of time, has acclimated to tasking/duties, and has meaningful work that can be done remotely. Telework can also be removed at any time. Salary Range: The salary range for this full-time position is $200,000 to $280,000. Our salary ranges are determined by position, level, skills, professional experience, relevant education and certifications. The range displayed on each job posting reflects the minimum and maximum target salaries for this position across our projects. Within the range, your salary is determined by your individual benefits package selection. Your recruiter can share more about the specific salary range for your preferred position during the hiring process.
Read the full posting
Employment
Full-time — employment source
Job Description: GliaCell is seeking a Principal Data Scientist on one of our subcontracts. This is a full-time position offering the opportunity to support a U.S. Government customer. The mission is to provide technical expertise that assists in sustaining critical mission-related software and systems to a large government contract. Key Requirements:
Read the full posting

Before you apply

Work authorization
Citizens only***An active or rein-statable TS/SCI with Polygraph security clearance is REQUIRED

What you’ll work on

Full posting
  • Provide technical expertise to sustain critical mission-related software and systems

  • Build predictive models and automate decision-making with machine learning

  • Clean and organize complex datasets into usable form

  • Extract and manipulate data from relational databases

  • Create charts, graphs, and dashboards to explain findings to stakeholders

From the employer’s posting
The mission is to provide technical expertise that assists in sustaining critical mission-related software and systems
Knowledge of machine learning algorithms and frameworks (such as TensorFlow and Scikit-Learn) is vital for building predictive models and automating decision-making processes.
The ability to clean and organize complex datasets is critical.
Familiarity with SQL and database management systems (like PostgreSQL and MongoDB) is essential for extracting and manipulating data stored in relational databases.
Creating charts, graphs, and dashboards is crucial for making data understandable to stakeholders.
Education & alternatives
- U.S. Citizenship. - Bachelor's degree or higher from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science). A minimum of ten (10) years of experience in two (2) or more of the following: designing/implementing machine learning, data mining, advanced analytical algorithms, advanced statistical analysis, artificial intelligence, or software engineering with data analysis software such as R, Python, SAS, or MATLAB. An additional four (4) years of experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics can be substituted for a Bachelor's degree. - A Master’s Degree from an accredited college or university in a quantitative discipline can be substituted for two (2) years of experience for a total of eight (8) years of experience required. A Doctoral Degree from an accredited college or university in a quantitative discipline can be substituted for four (4) years of experience for a total of six (6) years of experience required.

Benefits in the posting

Full benefits wording
  • Medical, Dental, and Vision Coverage for Employee and Dependents
  • Up to 25 Days of Paid Time Off
  • Up to 40 hours of PTO Carryover
  • 401K Company Contribution, Fully Vested Day 1
  • Discretionary, Certification, and Sign-On Bonus Potential
  • Employee Referral Bonus Program
  • Annual Professional Development
  • Additional Voluntary Life Insurance Coverage Available
  • Employee Assistance Program
  • Travel Protection Program
  • Financial Planning Assistance
  • Bereavement and Jury Duty Leave
  • Monthly Team and Family Events
  • Technology Budget
  • Global Entry
  • Annual Swag Budget
  • GliaCell Technologies, LLC is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

From the employer’s posting.

Apply at GliaCell Technologies

Posting record

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Status in our records
Live
First seen by us
Sep 24, 202650 days ago
Recorded sightings
104
Last seen by us
Nov 14, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

Higher than most similar jobs

$200K–$280K against $118K–$195K, the middle half of what similar US postings state.

From 3,828 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 50

Similar jobs usually come down between day 8 and day 60.

From 11,783 similar postings that came down. Coming down is not always a hire.

GliaCell Technologies is hiring

10 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Its jobs tend to stay up a long time
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • MATLAB
  • Python
  • R
  • SAS
  • SQL
  • MongoDB
  • PostgreSQL
  • Tableau
  • Matplotlib
  • NumPy
  • pandas
  • scikit-learn
  • TensorFlow
Where the posting names them
- U.S. Citizenship. - Bachelor's degree or higher from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science). A minimum of ten (10) years of experience in two (2) or more of the following: designing/implementing machine learning, data mining, advanced analytical algorithms, advanced statistical analysis, artificial intelligence, or software engineering with data analysis software such as R, Python, SAS, or MATLAB. An additional four (4) years of experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics can be substituted for a Bachelor's degree. - A Master’s Degree from an accredited college or university in a quantitative discipline can be substituted for two (2) years of experience for a total of eight (8) years of experience required. A Doctoral Degree from an accredited college or university in a quantitative discipline can be substituted for four (4) years of experience for a total of six (6) years of experience required.
Key Skills: - Programming Languages: Proficiency in programming languages such as Python and R is crucial for data manipulation, analysis, and implementing algorithms. Python is favored for its simplicity and extensive libraries (like NumPy and pandas), while R is preferred for statistical analysis and data visualization. - Statistical Analysis: A strong foundation in statistics and probability is necessary for analyzing data accurately and making informed decisions. Understanding concepts like regression analysis, hypothesis testing, and statistical distributions is essential.
- Data Wrangling: The ability to clean and organize complex datasets is critical. Data wrangling involves transforming raw data into a usable format, which is often time-consuming but necessary for effective analysis. - Database Management: Familiarity with SQL and database management systems (like PostgreSQL and MongoDB) is essential for extracting and manipulating data stored in relational databases. - Data Visualization: Skills in data visualization tools (such as Tableau and Matplotlib) help communicate findings effectively. Creating charts, graphs, and dashboards is crucial for making data understandable to stakeholders.
- Database Management: Familiarity with SQL and database management systems (like PostgreSQL and MongoDB) is essential for extracting and manipulating data stored in relational databases. - Data Visualization: Skills in data visualization tools (such as Tableau and Matplotlib) help communicate findings effectively. Creating charts, graphs, and dashboards is crucial for making data understandable to stakeholders. Location: Annapolis Junction, Maryland (Partial Telework of 16 hours per week is expected) Note: Telework granted for this position does not become available until after the individual has been in the position for a period of time, has acclimated to tasking/duties, and has meaningful work that can be done remotely. Telework can also be removed at any time.
- Statistical Analysis: A strong foundation in statistics and probability is necessary for analyzing data accurately and making informed decisions. Understanding concepts like regression analysis, hypothesis testing, and statistical distributions is essential. - Machine Learning: Knowledge of machine learning algorithms and frameworks (such as TensorFlow and Scikit-Learn) is vital for building predictive models and automating decision-making processes. - Data Wrangling: The ability to clean and organize complex datasets is critical. Data wrangling involves transforming raw data into a usable format, which is often time-consuming but necessary for effective analysis.

Your next step

Complete your application on gliacelltechnologies.applytojob.com. The employer’s form will show what is required.

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Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 1,403, the most 2,949, and the latest week had 2,098.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

***An active or rein-statable TS/SCI with Polygraph security clearance is REQUIRED. Please do not apply if you currently do not possess this level of clearance.***

Are you a Principal Data Scientist who is ready for a new challenge that will launch your career to the next level?

  • Tired of being treated like a company drone?
  • Tired of promised adventures during the hiring phase, then dropped off on a remote contract and never seen or heard from the mothership again?
  • Our engineers were certainly tired of the same.  

At GliaCell our slogan is “We make It happen”.

  • We will immerse you in the latest technologies.
  • We will develop and support your own personalized training program to continue your individual growth. 
  • We will provide you with work that matters with our mission-focused customers, and surround you with a family of brilliant engineers. 

Culture isn’t something you need to talk about…if it just exists. 

If this sounds interesting to you, then we’d like to have a discussion regarding your next adventure! If you want to be a drone, this isn’t the place for you.

We Make It Happen!

GliaCell Technologies focuses on Software & System Engineering in Enterprise and Cyber Security solution spaces. We excel at delivering stable and reliable software solutions using Agile Software Development principles. These provide us the capability to deliver a quick turn-around using interactive applications and the integration of industry standard software stacks.

GliaCell’s Enterprise capabilities include Full-Stack Application Development, Big Data, Cloud Technologies, Analytics, Machine Learning, AI, and DevOps Containerization. We also provide customer solutions in the areas of CND, CNE, and CNO by providing our customers with assessments and solutions in Threat Mitigation, Vulnerability Exposure, Penetration Testing, Threat Hunting, and Preventing Advanced Persistent Threat.

We Offer:

  • Long term job security
  • Competitive salaries & bonus opportunities
  • Challenging work you are passionate about
  • Ability to work with some amazingly talented people

Job Description:

GliaCell is seeking a Principal Data Scientist on one of our subcontracts. This is a full-time position offering the opportunity to support a U.S. Government customer. The mission is to provide technical expertise that assists in sustaining critical mission-related software and systems to a large government contract.

Key Requirements:

To be considered for this position you must have the following:

  • Possess an active or rein-statable TS/SCI with Polygraph security clearance. (This position requires in-scope poly, within 7 years).
  • U.S. Citizenship.
  • Bachelor's degree or higher from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science). A minimum of ten (10) years of experience in two (2) or more of the following: designing/implementing machine learning, data mining, advanced analytical algorithms, advanced statistical analysis, artificial intelligence, or software engineering with data analysis software such as R, Python, SAS, or MATLAB. An additional four (4) years of experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics can be substituted for a Bachelor's degree.
  • A Master’s Degree from an accredited college or university in a quantitative discipline can be substituted for two (2) years of experience for a total of eight (8) years of experience required. A Doctoral Degree from an accredited college or university in a quantitative discipline can be substituted for four (4) years of experience for a total of six (6) years of experience required.
  • Work well independently as well as on a team. 
  • Strong communication skills. 

Key Skills:

  • Programming Languages: Proficiency in programming languages such as Python and R is crucial for data manipulation, analysis, and implementing algorithms. Python is favored for its simplicity and extensive libraries (like NumPy and pandas), while R is preferred for statistical analysis and data visualization. 
  • Statistical Analysis: A strong foundation in statistics and probability is necessary for analyzing data accurately and making informed decisions. Understanding concepts like regression analysis, hypothesis testing, and statistical distributions is essential. 
  • Machine Learning: Knowledge of machine learning algorithms and frameworks (such as TensorFlow and Scikit-Learn) is vital for building predictive models and automating decision-making processes. 
  • Data Wrangling: The ability to clean and organize complex datasets is critical. Data wrangling involves transforming raw data into a usable format, which is often time-consuming but necessary for effective analysis. 
  • Database Management: Familiarity with SQL and database management systems (like PostgreSQL and MongoDB) is essential for extracting and manipulating data stored in relational databases. 
  • Data Visualization: Skills in data visualization tools (such as Tableau and Matplotlib) help communicate findings effectively. Creating charts, graphs, and dashboards is crucial for making data understandable to stakeholders. 

Location: Annapolis Junction, Maryland (Partial Telework of 16 hours per week is expected)
Note: Telework granted for this position does not become available until after the individual has been in the position for a period of time, has acclimated to tasking/duties, and has meaningful work that can be done remotely.  Telework can also be removed at any time.

Salary Range: The salary range for this full-time position is $200,000 to $280,000. Our salary ranges are determined by position, level, skills, professional experience, relevant education and certifications. The range displayed on each job posting reflects the minimum and maximum target salaries for this position across our projects. Within the range, your salary is determined by your individual benefits package selection. Your recruiter can share more about the specific salary range for your preferred position during the hiring process. 

Benefits:

  • Medical, Dental, and Vision Coverage for Employee and Dependents 
  • Up to 25 Days of Paid Time Off
  • Up to 40 hours of PTO Carryover
  • 11 Federal Government Holidays
  • Work From Home Opportunities
  • 401K Company Contribution, Fully Vested Day 1
  • Discretionary, Certification, and Sign-On Bonus Potential 
  • Employee Referral Bonus Program 
  • Annual Professional Development 
  • 100% Premium Covered for Life & Disability Insurances
  • Additional Voluntary Life Insurance Coverage Available 
  • Employee Assistance Program
  • Travel Protection Program
  • Financial Planning Assistance 
  • Bereavement and Jury Duty Leave
  • Monthly Team and Family Events
  • Technology Budget
  • Global Entry
  • Annual Swag Budget

Learn more about GliaCell Technologies: https://gliacelltechnologies.applytojob.com/apply/

To apply for this position, respond to this job posting and attach an updated resume for us to review. 

GliaCell Technologies, LLC is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

Source details

View original posting ↗

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Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay
Location: Annapolis Junction, Maryland (Partial Telework of 16 hours per week is expected) Note: Telework granted for this position does not become available until after the individual has been in the position for a period of time, has acclimated to tasking/duties, and has meaningful work that can be done remotely. Telework can also be removed at any time. Salary Range: The salary range for this full-time position is $200,000 to $280,000. Our salary ranges are determined by position, level, skills, professional experience, relevant education and certifications. The range displayed on each job posting reflects the minimum and maximum target salaries for this position across our projects. Within the range, your salary is determined by your individual benefits package selection. Your recruiter can share more about the specific salary range for your preferred position during the hiring process. Benefits:
Location & working pattern

Annapolis Junction, MD

- Tired of being treated like a company drone? - Tired of promised adventures during the hiring phase, then dropped off on a remote contract and never seen or heard from the mothership again? - Our engineers were certainly tired of the same.
Work authorization
***An active or rein-statable TS/SCI with Polygraph security clearance is REQUIRED. Please do not apply if you currently do not possess this level of clearance.*** Are you a Principal Data Scientist who is ready for a new challenge that will launch your career to the next level?
More source context
To be considered for this position you must have the following: - Possess an active or rein-statable TS/SCI with Polygraph security clearance. (This position requires in-scope poly, within 7 years). - U.S. Citizenship. - Bachelor's degree or higher from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science). A minimum of ten (10) years of experience in two (2) or more of the following: designing/implementing machine learning, data mining, advanced analytical algorithms, advanced statistical analysis, artificial intelligence, or software engineering with data analysis software such as R, Python, SAS, or MATLAB. An additional four (4) years of experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics can be substituted for a Bachelor's degree.

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