Senior Data Scientist at Analytics Intelligence [AI]

Responsibilities

• Integration of data storage solutions - may include databases such as MongoDB, key-value stores, blob stores, AWS S3 buckets, and SFTP. 
• Writing reusable, testable, and efficient code 
• Training models and tuning their hyperparameters. 
• Analyzing 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. 
• Analyzing the ML algorithms that could be used to solve a given problem and rank them by their success probability. 
• Knowledge of user authentication and authorization between multiple systems, servers, and environments. 

Qualifications

• Minimum of 4 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, Nodejs, 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, modelling, clustering etc. 
• Good problem-solving skills 
• Good communication skills