Junior Data Scientist

Description

The Junior Data Scientist is responsible for simpler projects, and is responsible for tasks among few projects. Junior Data Scientist should have some expertise in implementing deep learning or artificial intelligence (AI) projects; 

Actively Seeking

  • Responsibilities

    • Requirements: The Junior Data Scientist shall have at least a Bachelor’s degree in data science, statistical analysis, machine learning, or related fields; and seven (1) years relevant experience in research, organizational and business analyses, predictive analysis, and deep learning development with preference for experience running big data projects for big companies; or at least 12 semester hours in a combination of operations research, mathematics, probability, statistics, mathematical logic, science, or subject-matter courses requiring substantial competence in college level mathematics or statistics. Education may be a substitute for years of experience.

    • • Demonstrate applying appropriate methods in order to mathematically formulate and examine statistical associations between variables within a data set using R or Python

    • • Conceptualize, plan, design, and develop deep learning/artificial intelligence algorithms for multi-objective optimization and decision-making tools focused on solving resource allocation/prioritization problems.

    • • Experience implementing the following libraries in  Python: TensorFlow, PyTorch

    • • Experience implementing the Data Analysis Framework

    • • Ability to develop algorithms in a High-Performance Computing (HPC) environment 

    • • Produce summary reports/briefings of algorithm results using Jupyter Notebook.  

    • • Utilize MS Access to perform queries and analyses

    • • Utilize MS Excel to perform analyses to produce reports

    • • Utilize MS PowerPoint to produce reports

    • • Utilize MS Word to produce reports 

  • For more information contact Tech4stress at info@zenperformer.com:

    • Apply for 3 Days Interview Process

    • From 16th to 15th July 2020

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