Position Summary

Role and Responsibilities

• Primary skills :- Data Science & Analytics
  

• 1. [Data Collecting and managing] Developing modules or scripts for collecting, sampling, cleaning and storing data in DB or file system. Creating validation and testing set for final metric evaluation.

  2. [Data pre-processing ] Reflect the features of collected data well and design pre-processing algorithm that eases unnecessary complexity.

  3. [Data modelling] Explore and design suitable machine learning model or deep learning algorithm or statistical model to solve business challenges.

  4. [Metric Reporting] Defining metric which correlates with business outcome. Calculating and reporting optimized metric result for data.

  5. [Root cause analysis] Finding root cause analytically or intuitively why algorithms did not perform well for certain data. What more is required to improve metric further over the data.

  6. [Coding language / framework experience]:- Any DL , ML, framework such as tensorflow, keras, pytorch, Scikit etc. Coding language such as python, R, matlab etc.
  

• 1. [SW Application Integration & Deployment] Experience in developing AI/ML base application and deploying in business domain. Experience in application development languages (any one) such as Python (Django, Plotly), Java, C sharp, C++, etc.
  

• Secondary Skills:- SW application development experience
  

Skills and Qualifications