Data Scientist

Stcnet; Maryland; On-site; USD 125,000 - 165,000; Full time

Benefits offered by this job

401K with up to 4% employer matching

PTO & holidays

Tuition Reimbursement Program

Job summary

Science and Technology Corporation (STC) is seeking a Data Scientist at Aberdeen Proving Ground, MD to lead projects focused on the modeling and simulation of obscurant materials and sensor systems.

You will use artificial intelligence and machine learning to improve data analysis and modeling efforts, pursue related research tasks, and collaborate with other scientists. A Master’s degree, U.S. citizenship, and ability to obtain and maintain a DoD Secret clearance are required.

Qualifications

• 10 years of experience in modeling and simulation of threat systems.
• Experience applying data analytics and AI/ML.
• Proficiency in Python and C++.
• Ability to obtain and maintain DoD Secret Clearance.
• U.S. citizenship required.
• Strong English communication skills.

Responsibilities

• Lead projects modeling and simulation of obscurant materials and dissemination systems.
• Apply AI/ML to data analytics and modeling efforts.
• Collaborate with other scientists on data analytics projects.

Job description

Job Title: Data Scientist

Location: ABERDEEN PROVING GROUND, MD 21005 US (Primary)

Category: General Laborer, Scientist

Job Type: Full-Time

Salary: $125,000 - $165,000

Education: Master's Degree

Security Clearance Required: Ability to obtain and maintain a U.S. Security Clearance

Job Description

About Science and Technology Corporation (STC):

STC is a science and engineering research and services support company with proven expertise and experience spanning research, development, test, and evaluation in areas including aerospace engineering, earth and atmospheric sciences, chemical and biological defense, military systems and technology, and software development.

Employment Details

• Employment Category: Full Time / Exempt
• Location: Aberdeen Proving Ground, MD
• Security Clearance: DoD Secret or ability to earn
• Citizenship: Must be a U.S. Citizen

Responsibilities

The Data Scientist will lead projects focused on the modeling and simulation of smoke and obscurant materials and systems and their impact on sensor systems, both threat and friendly. Use artificial intelligence and machine learning to improve and perform data analysis and modeling efforts.

• Pursue obscuration research support projects related to data analytics or for which AI/ML algorithms are appropriate
• Perform modeling and simulation of obscurant materials and dissemination systems such as generators, grenades, and other munitions
• Consult with other scientists on their projects related to data analytics and AI/ML applications

Education

Bachelor’s degree in Computer Science, Applied Mathematics, or related field

• 401K with up to 4% employer matching contribution
• 3 weeks (120 hrs/year) Paid Time Off (PTO), Federal holidays, and Sick Leave
• Tuition Reimbursement Program

Job Requirements

• Must be a U.S. Citizen able to obtain and maintain a Secret Clearance
• 10 years of experience performing modeling and simulation of threat systems/sensors and obscurant systems
• Experience developing and applying data analytics and AI/ML applications
• Expertise in multiple programming languages such as Python and C++ is required
• Must be proficient in planning laboratory and field data collection and analysis efforts
• Strong problem solving and analysis skills
• Excellent communication skills in English and the ability multitask, prioritize, and complete work within schedule

Bonus points if you have

• Master’s degree in Operations Research or related field
• Expertise in project management is a plus
• Experience with military obscuration testing

We are equal opportunity/affirmative action employers, committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status, or any other protected characteristic under state or local law.