Principal Data Scientist (Partial Telework)

GliaCell Technologies•Annapolis Junction, MD

12d•$200,000 - $280,000•Hybrid

About The Position

GliaCell is seeking a Principal Data Scientist to support a U.S. Government customer on one of our subcontracts. This full-time position involves providing technical expertise to sustain critical mission-related software and systems for a large government contract. The role offers the opportunity to work with the latest technologies, receive personalized training, engage in mission-focused work, and collaborate with a team of brilliant engineers. GliaCell Technologies specializes in Software & System Engineering within Enterprise and Cyber Security solutions, utilizing Agile Software Development principles for quick turn-around and integration of industry-standard software stacks. Their Enterprise capabilities include Full-Stack Application Development, Big Data, Cloud Technologies, Analytics, Machine Learning, AI, and DevOps Containerization. They also provide solutions in CND, CNE, and CNO, including assessments and solutions in Threat Mitigation, Vulnerability Exposure, Penetration Testing, Threat Hunting, and Preventing Advanced Persistent Threat.

Requirements

Possess an active or rein-statable TS/SCI with Polygraph security clearance (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.
Work well independently as well as on a team.
Strong communication skills.

Nice To Haves

Proficiency in programming languages such as Python and R.
Strong foundation in statistics and probability.
Knowledge of machine learning algorithms and frameworks (such as TensorFlow and Scikit-Learn).
Ability to clean and organize complex datasets.
Familiarity with SQL and database management systems (like PostgreSQL and MongoDB).
Skills in data visualization tools (such as Tableau and Matplotlib).

Responsibilities

Designing and implementing machine learning algorithms.
Performing data mining.
Conducting advanced analytical algorithms.
Performing advanced statistical analysis.
Applying artificial intelligence techniques.
Software engineering with data analysis software.
Developing descriptive, predictive, and prescriptive analytics.
Programming in languages such as Python and R for data manipulation, analysis, and algorithm implementation.
Performing statistical analysis and data visualization.
Building predictive models and automating decision-making processes using machine learning.
Cleaning and organizing complex datasets (data wrangling).
Extracting and manipulating data from relational databases.
Communicating findings effectively through data visualization tools.