Data Scientist II

Science and Technology Corporation

$83K — $95K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in data science, computer science, or related discipline.
  • 3 to 9 years of advanced Python coding experience.
  • 3 years of machine learning project experience, including deep learning, NLP, or computer vision.
  • Advanced proficiency in TensorFlow or PyTorch.
  • Advanced proficiency in another object-oriented programming language, such as C++ or JavaScript.
  • Advanced proficiency with databases.
  • Excellent communication skills, both oral and written, in English.

Responsibilities

  • Develop AI and ML tools to enhance detection of chemical and biological materials.
  • Create and maintain software applications in Python.
  • Process and store data from instruments and sensors.
  • Lead small project teams and mentor junior developers.
  • Conduct field tests, train users, and evaluate system performance.
  • Stay updated on advancements in related fields.
  • Contribute to reports, journal articles, and presentations.

Benefits

  • 401K with up to 4% employer matching contribution.
  • 3 weeks (120 hrs/year) Paid Time Off (PTO), plus Federal holidays and Sick Leave.
  • Comprehensive Medical, Dental, and Vision Insurance.
  • Short Term/Long Term Disability coverage.
Full Job Description
Job Title

Data Scientist II

Location

ABERDEEN PROVING GROUND, MD 21005 US (Primary)

Category

Scientist

Job Type

Full-Time

Compensation Minimum (USD)

$83,000

Compensation Maximum (USD)

$95,000

Education

Bachelor's Degree

Minimum Citizenship Status Required

U.S. Citizen

Security Clearance Required

Secret

Job Description

  • Employment Category: Full Time / Exempt
  • Location: Aberdeen Proving Ground (APG), MD,
  • Travel: Minimal
  • Security Clearance: DoD Secret Eligible, Active clearance preferred.
  • Citizenship: Must be a U.S. Citizen

Responsibilities:
Develop and apply state-of-the-art artificial intelligence (AI) and machine learning (ML) tools and algorithms to optimize DoD chemical and biological detection and identification systems. Work as part of a government scientific team developing and updating military sensors. Lead development of some efforts.
  • Develop software applications in Python and apply machine learning techniques to improve the detection of chemical and biological materials.
  • Develop, test, train, and maintain applications for developmental sensors.
  • Develop and use tools to import, process, and store instrument and sensor datafiles for use in applications.
  • Lead small development efforts and mentor junior developers.
  • Support field testing, train users, and assess system performance.
  • Remain current on related subjects in the literature and news.
  • Assist with the preparation of reports, journal articles, and presentations.

Education:
Bachelor's degree in data science, computer science, or a related discipline

Bonus points if you have:
  • Active DoD Security clearance
  • Master's degree in data science or related discipline
  • College chemistry or biology coursework
  • Experience with bioinformatics and genetic algorithm development


Compensation & Benefits:
  • Pay: From $83K - $95K per year based on experience and qualifications
  • Schedule: 40 hours per week
  • 401K with up to 4% employer matching contribution
  • 3 weeks (120 hrs/year) Paid Time Off (PTO), Federal holidays, and Sick Leave
  • Comprehensive Medical, Dental, Vision Insurance, Short Term/Long Term Disability


Job Requirements

  • U.S. Citizen eligible for a DoD security clearance
  • 3 to 9 years advanced proficiency with Python coding
  • 3 years ML project experience including deep learning, NLP, and/or computer vision
  • Advanced proficiency with TensorFlow or PyTorch
  • Advanced proficiency in another object-oriented programming language (C++ or JavaScript)
  • Advanced proficiency with databases
  • Excellent oral and written communication skills in English
  • Demonstrated ability to learn new skills quickly, multitask, and complete work within schedule.


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