Consolidated Precision Products Corp.

Senior Data Scientist (Annapolis Junction, MD)

Aerospace & Defense
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Active TS/SCI w/Polygraph clearance required
  • 10+ years in machine learning, data mining, or advanced analytical algorithms
  • Bachelor's degree in a quantitative discipline or equivalent experience
  • Master's degree in a quantitative discipline substitutes for 2 years of experience
  • Doctoral degree in a quantitative discipline substitutes for 4 years of experience

Responsibilities

  • Design and implement machine learning and analytics solutions
  • Develop and execute advanced statistical analysis methodologies
  • Utilize software engineering to enhance data analysis processes
  • Work with cloud development and data infrastructure
  • Analyze datasets for descriptive, predictive, and prescriptive insights

Benefits

  • 25 days paid time off (PTO) plus 11 paid holidays
  • 100% employer-paid healthcare for employees and dependents available from day one
  • 8% employer match on 401(k) with immediate vesting
Full Job Description
**Active TS/SCI w/Polygraph REQUIRED** Please do not apply if you do not currently possess this level of clearance.

Telework: None

Basic Requirements:
  • 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.
  • 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).
    • 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.
    • A Master's Degree from an accredited college or university in a quantitative discipline can be substituted for two (2) years of experience for a total of eight (8) years of experience required.
    • A Doctoral Degree from an accredited college or university in a quantitative discipline can be substituted for four (4) years of experience for a total of six (6) years of experience required.
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Excellent benefits package including 25 days PTO, 11 paid holidays, 100% employer-paid healthcare for employees and dependents - available day 1, 8% 401(k) employer match - immediate vesting.

Disclaimer: The salary range provided is an estimate based on current market conditions and may be adjusted based on factors such as experience, skills, and qualifications. The final salary offer will be determined after a thorough review of the candidate's background and alignment with the role. Please note that this range is subject to change and should be considered as a guideline rather than a definitive figure.

Shield Consulting Solutions is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
This is a full time position

About Consolidated Precision Products Corp.

Consolidated Precision Products Corp. is a manufacturer of complex metal components and products for the aerospace and defense industries. The company was founded in 1991 and is headquartered in Carrollton, Texas. Consolidated Precision Products Corp. operates a network of manufacturing facilities across the United States, as well as in Mexico and Europe. The company's products include castings, forgings, and machined components, as well as assemblies and sub-assemblies. Consolidated Precision Products Corp. is committed to providing high-quality products and services to its customers.
Learn more about Consolidated Precision Products Corp.
Size
3,000 employees
Industry

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