Data Scientist Level lll

MbSolutions, Inc.

$100K — $130K *
Aerospace & Defense
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • US Citizenship required
  • Favorable Tier 1 security clearance needed
  • Bachelor's degree in computer science or related field
  • Minimum 5 years in algorithm development or database management
  • Proficiency in Python, R, Matlab, or Lua
  • Strong mathematical foundation in statistics and optimization
  • Familiarity with machine learning concepts and techniques

Responsibilities

  • Leverage expertise in machine learning and big data to drive decision-making
  • Develop advanced models to analyze complex datasets
  • Utilize AI frameworks to create scalable solutions
  • Translate data insights into actionable intelligence
  • Collaborate within a team to solve complex business challenges

Benefits

  • 401(k)
  • Dental insurance
  • Retirement plan
  • Tuition reimbursement
Full Job Description
ob Overview
We are seeking a highly skilled and innovative Data Scientist Level III to join our dynamic analytics team. In this role, you will leverage your extensive expertise in machine learning, data mining, and big data technologies to develop advanced models that drive strategic decision-making. You will work on complex datasets, utilize cutting-edge AI frameworks, and deploy scalable solutions that impact various business units. Your passion for uncovering insights and translating data into actionable intelligence will help shape the future of our organization's data-driven initiatives.

Requirements
  • Must be a US Citizen
  • Must have a favorable Tier 1 (T1) security investigation
  • Must Minimum of Bachelor's degree in computer science, operations research, or a comparable field
  • Minimum of 5 years of experience in professional software algorithm development and/or database management and visualization.
  • Experience with software development lifecycle and use of associated tools.
  • Proficient in Python, R, Matlab, Lua, or other data science[1]centric programming language.
  • Mathematical knowledge of optimization, multi-variate calculus, probability & statistics, linear algebra, and numerical methods.
  • Knowledge of supervised and unsupervised machine learning concepts, such as Artificial Neural Networks, SVMs, Random Forests, Gaussian Processes, and other techniques.
  • Knowledge of common data visualization technologies, such as matplotlib, bokeh, d3, or matlab.
  • Willingness to learn new skills and technologies and exit "comfort zone".
  • Good organization, decision making, and verbal and written communication skills.
  • High level of self-initiative and self-motivation with the ability to work under minimal supervision.
  • Ability to work effectively in small team settings to solve complex problems


Benefits:

  • 401(k)
  • Dental insurance
  • Retirement plan
  • Tuition reimbursement


Work Location: In person

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