Data Science Engineer, SMAI

Broad knowledge and experience in:

• Strong software development skills.
• Strong UI/UX design skills
• Strong knowledge in Web Technologies
• Experience with various frameworks and processes, such as Agile
• 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.
• Data Analysis and Validation skills

Above average skills in:

• Expertise in Angular, Javascript and CSS
• Programming Fluency in Python and/or R
• 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)