10 to 12 years of relevant experience, and 6+ years of experience in data science, machine learning, quantitative analytics (Mathematics, Statistics or Operational Research etc) , quality assurance and data management roles
Bachelor's or Master’s degree in Computer Science, Statistics, or a related field (Mathematics, Operational Research, Data Science)
Experience in training (Building) and validating statistical, machine learning, and other advanced analytics models.
Experience in Time series Forecasting, Classification models, Segmentation, Fraud Detection, NLP, Deep Learning
Proficient in Python and Knowledge in R, SAS and Tableau
Experience in using ML Libraries.
Knowledge in Domino Data Lab, AWS Sagemaker is a plus
Excellent problem-solving, analytical skills and attention to detail, with the ability to identify patterns, trends, and anomalies in data.
Ability to write code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency).
Experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc.
Experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc.