Principal Data Scientist (Partial Telework)

***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 anew challengethat willlaunch your careerto 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 thissounds interesting to you, then we’d like tohave 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:

• Medical, Dental, andVision Coverage for Employee and Dependents
• Up to 25 Daysof 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

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.

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.
• Workwell 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.

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.