Celestar Corporation is seeking multiple Data Scientists - Senior who will perform duties at Redstone Arsenal, AL.  If interested and qualified, we welcome you to apply for this challenging opportunity.

CLEARANCE REQUIREMENT : Active Top-Secret Level Clearance with SCI Access. Clearance, Access and Investigation must appear in JPAS and be within scope (5 – Years).

ANTICIPATED AWARD DATE:  November/December 2023
ANTICIPATED START DATE: January/February 2024
PERIOD OF PERFORMANCE: 1 Base Year + 4 Option Years
LOCATION:    Redstone Arsenal, AL

About Us :

Celestar, a Veteran Owned Company is Very Competitive with Salaries and Benefits.  As an example, we offer Company Paid Benefits that include Employee and Family Dental Insurance, Employ Health Insurance, Life Insurance and Disability Insurance as well.  We also offer a 401K retirement company match, paid Holidays and Personal Time off.

BACKGROUND :  The Artificial Intelligence (AI)/Machine Learning (ML) investment is a combined O&M and RDT&E funded effort focusing on improving analytic enabling abilities and data-processing intelligence requirements. This is a scalable approach to increase analytic capabilities across the DIE to meet the growing data processing and analytic enabling requirements.  The focus of this effort is to provide the Defense Intelligence Agency (DIA) and Missile and Space Intelligence Command (MSIC), with a robust support contract to aid in the development, refinement, and integration of technology advancement services in the areas of and around AI & ML.

OBJECTIVES :  Provide a full range of data engineering and data science capabilities that enable advanced analytic capabilities that support the Directorate of Analysis and the entire MSIC mission set. In pursuit of its mission to support DI/MSIC, MSIC-4’s enabling of analysis and production must comply with the requirements set forth in Intelligence Community Directive (ICD) 203, “Analytic Standards.” MSIC-4 accomplishes its mission using data engineering and computer science teams with cross-functional expertise in topics including data science, data engineering, computer science and application prototype development. MSIC-4 is at the forefront of developing advanced capabilities and tools that comply with tradecraft requirements, enhance the rigor of intelligence production, and automated processes and capabilities.

RESPONSIBILITIES

• Conduct data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more informed analytic decisions. Proactively retrieves information from various sources, analyzes it for better understanding about the data set, and builds AI tools that automate certain processes.
• Create various ML-based tools or processes, such as recommendation engines or automated lead scoring systems.
• Perform statistical analysis, applies data mining techniques, and builds high quality prediction systems.
• Develop multiple prototype solutions to existing and new data-science problems using machine learning.

REQUIREMENTS

• Skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms. Should have prior experience with large data Multi-INT analytics, ML, and automated predictive analytics.
• Possess proven work experience or formal training as a Data Scientist or similar role.
• Provide expertise in coding, software tools, and accelerated hardware: (1) provides expertise in Python for developing machine learning applications, (2) uses GIT for software version control, (3) uses Linux OS and Docker Containers as a development environment, (4) provides expertise in using single and multiple GPUs for machine learning development.
• Provide expertise in machine learning and data science: (1) rapidly prototype machine learning (classical and deep learning) models addressing various problems in Scientific and Technical Intelligence, (2) applies knowledge of classical machine learning APIs (Scikit-Learn, Rapids, etc.) and deep learning frameworks (Tensorflow, PyTorch, Keras, etc.), (3) applies knowledge of data science, statistics, and mathematics to evaluate machine learning model performance.
• Design, develop, and test Machine Learning applications.
• Brief methodology and results to technical and non-technical audiences.
• Collaborates with MSIC personnel and shares leading practices and lessons learned in formal training events.
• Exceptional oral and written communication skills
• Valid US Passport

EDUCATION & EXPERIENCE :

Senior : Master’s Degree and twelve ( 12) years of experience or Bachelor’s Degree and an additional five (5) years of related experience for a total of seventeen (17) years in lieu of a Master’s Degree with at least a portion of the experience within the last 2 years.

IMPORTANT NOTE : This is a Best Athlete Selection Process! Please ensure that the required and/or desired experience is reflected on your resume to receive fair and competitive consideration.

Come onboard with a company that Values its Employees!

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