Data Scientist 3 (FST - 140)

SageCor Solutions

• $120K — $145K *
Aerospace & Defense
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Active TS/SCI security clearance with Polygraph is mandatory.
  • Bachelor's degree in a quantitative field (statistics, mathematics, operations research, engineering, or computer science) required.
  • At least ten years of relevant experience in machine learning, data mining, or advanced statistical analysis.
  • Experience must include two or more of machine learning, AI, or software engineering with data analysis tools like R or Python.
  • Additional years of experience in software or cloud development can replace degree requirements.

Responsibilities

  • Design and implement machine learning algorithms and advanced analytical models.
  • Conduct data mining and perform advanced statistical analysis for insights.
  • Develop and maintain software solutions for data analysis.
  • Analyze large datasets to extract meaningful patterns and predictions.
  • Collaborate with multidisciplinary teams to drive data-driven decision making.

Benefits

  • Health, dental, and vision insurance options available.
  • 401(k) retirement plan with company matching contributions.
  • Professional development and training programs offered.
  • Flexible work hours and potential for remote work arrangements.
Full Job Description
Description

Active TS/SCI w/ Polygraph required.

Required Experience:

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). 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. 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.

OR
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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