Data Scientist Level lll

MbSolutions, Inc.

$100K — $130K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in computer science, operations research, or comparable field
  • 5+ years of experience in software algorithm development or database management
  • Proficient in Python, R, Matlab, Lua, or similar data science programming languages
  • Mathematical knowledge in optimization, multi-variate calculus, probability & statistics, linear algebra, and numerical methods
  • Familiarity with machine learning concepts including Artificial Neural Networks and Random Forests
  • Experience with data visualization technologies such as matplotlib and d3
  • Strong analytical, problem-solving, and communication skills

Responsibilities

  • Develop and implement software algorithms for data analysis
  • Manage and visualize complex datasets
  • Utilize machine learning techniques for predictive modeling
  • Create data visualizations to present findings effectively
  • Collaborate with team members to solve analytical challenges
  • Maintain documentation of algorithms and processes
  • Continuously learn and adapt to emerging technologies

Benefits

  • Opportunity to work with cutting-edge technologies
  • Collaborative team environment
  • Focus on professional development and training
  • Emphasis on innovation and creative problem-solving
  • Flexible working conditions to enhance work-life balance
Full Job Description
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.

Exceptional analytical skills and problem-solving skills.

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

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