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Data Scientist Level lll

MbSolutions Inc
Indian Springs, NV, United States
4 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source
www.careerbuilder.com

Tech stack

Artificial Intelligence Algorithm Design Artificial Neural Networks Big Data Data Files Data Mining Data Visualization Digital Signal 1 R (Programming Language) Python (Programming Language) Lua (Scripting Language) MATLAB
+6 more
Machine Learning Software Engineering Random Forest Gaussian Matplotlib Information Technology

Job description

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

Data Science, Data Sets, Data Mining, Big Data, Data Science, Machine Learning, Artificial Intelligence (AI), United States Citizen, T-1 / DS1, Operations Research, * 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 β€œcomfort 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 & conditions

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

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