- 10 to 12 years of relevant experience, and 6+ years of experience in data science, machine learning, quantitative analytics, quality assurance and data management roles
- Bachelor's or Master’s degree in Computer Science, Information Systems, Statistics, or a related field
- Experience in training and validating statistical, physical, machine learning, and other advanced analytics models.
- Experience in Time series Forecasting, Classification models, Segmentation, Fraud Detection, NLP, Deep Learning
- Proficient in R, Python, SAS, Power BI, Alteryx
- 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.
- Familiarity with performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics.
Strong communication and collaboration skills, with the ability to effectively interact with technical and non-technical stakeholders.