purpose of this position is modelling data to provide clean, accurate datasets so that different users within documenting data assets.Â
- Model raw data into clean, tested, and reusable datasets making it easier
with data scientists and analytics to collect and clean data for analysis.
- Develop, validate, and
(Business/Developers/QA). Design solutions that are scalable, catering for requirements for various international markets
DevOps Practices and Tools
their suite of mobile communication solutions, catering to customer care, acquisition, and retention across
the industry, offering a range of services that cater to various financial requirements. About the Role:
Experience with DevOps Practices and Tools Write clean and efficient code Debugging and troubleshooting
and collaboration abilities A passion for writing clean, efficient, and scalable code If you are interested
Responsibilities: Ability to do routine data cleaning and analysis tasks Identify patterns and correlations (Logistic regression, random forest, etc) Data cleaning and pre-processing (Size, data distribution, imputation
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Key Accountabilities and Responsibilities: Write “clean”, well-designed code Produce detailed specifications Key Accountabilities and Responsibilities: Write “clean”, well-designed code Produce detailed specifications