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)