💡 Opportunity Summary

  • Defining the preprocessing or feature engineering to be done on a given dataset.
  • Analysing the ML algorithms that could be used to solve a given problem and ranking them by their success probability.


Job Description

  • Integration of data storage solutions – may include databases such as MongoDB, key-value stores, blob stores, AWS S3 buckets, SFTP. 
  • Writing reusable, testable, and efficient code.
  • Training models and tuning their hyperparameters. 
  • Analysing the errors of the model and designing strategies to overcome them.
  • Defining the preprocessing or feature engineering to be done on a given dataset.
  • Defining data augmentation pipelines. 
  • Defining the preprocessing or feature engineering to be done on a given dataset.
  • Verifying data quality, and/or ensuring it via data cleaning. 
  • Analysing the ML algorithms that could be used to solve a given problem and ranking them by their success probability. 
  • Knowledge of user authentication and authorisation between multiple systems, servers, and environments. 

Qualifications and Sklls

  • Minimum of 1-2 years experience in Data Science. 
  • Bachelor’s/ Master’s degree, (or equivalent) in Data Science, statistics, or related discipline.
  • Proficient in Python and other software development languages used for machine learning and deep learning.
  • Understanding of front-end technologies, such as JavaScript, Node.js, React, React Native HTML5, and CSS3.
  • Experience using web services: Redshift, S3, Spark, Digital Ocean, etc. 
  • Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, etc. 
  • Good problem-solving skills.
  • Good communication skills.

Method of Application


Interested and qualified candidates should send CVs to hr@analyticsintelligence.com using the Job title as the subject of the email. 


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