- 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.
Strong communication and collaboration skills, with the ability to effectively interact with technical and non-technical stakeholders.