Data Scientist

About this role

Batch: 2022/2023/2024/2025/2026. Requirements: - Experience in Data Science, Machine Learning, or a related quantitative field - Strong proficiency in Python and hands-on experience with libraries such as Pandas, NumPy, Scikit-learn, and similar ML frameworks - Strong SQL skills and experience working with large datasets - Hands-on experience in building, training, evaluating, and deploying machine learning models - Good understanding of statistics, probability, hypothesis testing, and experimentation - Strong understanding of machine learning algorithms and ability to select appropriate approaches - Experience taking models from experimentation/prototyping to production is a plus - Ability to translate ambiguous business problems into structured data science problems Good to Have: - Deep Learning (PyTorch / TensorFlow), NLP, Transformer-based models, LLMs, or GenAI applications - Model fine-tuning, evaluation, and optimization - Consumer-tech, marketplace, e-commerce, or hyperlocal environment experience - BigQuery, Snowflake, dbt, Tableau, Looker - Forecasting, recommendation systems, customer segmentation, or optimization problems