Intern, Data Science Engineer

Intern, Data Science Engineer


Responsibilities and Duties include, but not limited to:

  • Broad knowledge and experience in:
    • Strong desire to grow career as Data Scientist in highly automated industrial manufacturing doing analysis and machine learning on terabytes and petabytes of diverse datasets.
    • Ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques.
    • Understanding of Big Data Engineering/processing, Business Intelligence and Advanced analytics
    • Knowledge in Cloud based data engineering and Machine Learning Model
    • Knowledge in building APIs for application integration.
    • Knowledge in the areas: statistical modeling, feature extraction and analysis, supervised/unsupervised/semi-supervised learning.
    • Strong software development skills.
    • Strong UI/UX design skills
    • Strong knowledge in Web Technologies
    • Experience with various frameworks and processes, such as Agile
    • Data Analysis and Validation skills
  • Above average skills in:
    • Programming Fluency in Python and/or R
    • Expertise in Angular, Javascript and CSS
    • Knowledge in Data Science, Machine learning and other advanced analytical methods
    • Knowledge in javascript, AngularJS 2.0, is MUST.
    • Knowledge in Dotnet and C# is added advantage.
    • Optional : Knowledge in Hadoop stack (Hive, HDFS, HBase and Spark)
    • Optional: Understanding of pySpark and/or SparkR and/or SparklyR
    • Optional: Knowledge in Tensorflow, and/or other statistical software including scripting capability for automating analyses
    • Optional: Experience working with time series data, images, semi-supervised learning, and data with frequently changing distributions is a plus
    • Experience working with Manufacturing Execution Systems (MES) is a plus
  • Demonstrated ability to:
    • Work in a dynamic, fast-paced, work environment
    • Self-motivated with the ability to work under minimal direction
    • To adapt to new technologies and learn quickly
    • A passion for data and information with strong analytical, problem solving, and organizational skills
    • Work in multi-functional groups, with diverse interests and requirements, to a common objective
    • Communicate very well with distributed teams (written, verbal and presentation)

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