Senior Data Science Engineer - AI/ML- TS/SCI Poly Required (Onsite) at Collins Aerospace
Sterling, VA 20166, USA -
Full Time


Start Date

Immediate

Expiry Date

02 Aug, 25

Salary

90000.0

Posted On

02 May, 25

Experience

3 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Javascript, Mathematics, Probability, Data Science, Mentoring, Communication Skills, Technology, Git, Stem, Machine Learning, Mapreduce, Classification, Python, Computer Science, Statistics, Calculus, Data Analysis

Industry

Information Technology/IT

Description

RAYTHEON COMPANY MANAGED BY COLLINS AEROSPACE

Collins Aerospace, an RTX company, is a leader in technologically advanced and intelligent solutions for the global aerospace and defense industry. Collins Aerospace has the capabilities, comprehensive portfolio, and expertise to solve customers’ toughest challenges and to meet the demands of a rapidly evolving global market.
We are seeking a highly motivated and talented Senior Data Science Engineer with a strong interest in AI/ML and advanced analytics to join our team. The ideal candidate will be passionate about developing and applying data science techniques to solve complex customer problems. This role will involve hands-on experience in machine learning, statistical analysis, and data-driven decision-making to help shape the data strategy and drive insights from large, varied datasets. This position will be onsite in Tysons Corner, VA and requires an active TS/SCI Poly security clearance.

QUALIFICATIONS YOU MUST HAVE:

  • 3+ years of experience in data science, including problem-solving with machine learning and scalable methods (MapReduce, streaming).
  • Experience in applied machine learning (regression, classification, supervised/unsupervised learning) and time-series data analysis.
  • Software development skills in Python and JavaScript, with experience using Git or other version control systems.
  • Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and minimum 5 years prior relevant experience or an Advanced Degree in a related field and minimum 3 years of experience or in absence of a degree, 9 years of relevant experience
Responsibilities

WHAT YOU WILL DO:

  • Collaborate with data and subject matter experts and customer teams to seek, understand, validate, interpret, and correctly use data and business insights
  • Train, validate and deploy machine learning pipelines
  • Test, troubleshoot, and enhance customer software applications with and on behalf of customers
  • Identify application performance bottlenecks and implement optimizations
  • Write application specifications, tutorials and documentation
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