Applied Data Scientist (Hyderabad)

Senior Data Scientist. We are looking for an end-to-end Data Scientist to design, build, and maintain ML-powered systems that solve core data quality and classification problems across the business. You will own the full lifecycle from exploratory analysis and feature engineering through model training, deployment, and ongoing performance monitoring. The work spans entity resolution (identifying duplicate records across large datasets) and multi-class classification models that drive decision-making across a variety of business domains.

Own the end-to-end model lifecycle: problem framing, data exploration, feature engineering, model training, evaluation, deployment, and monitoring - Build and maintain entity resolution systems that detect duplicate records using supervised ML and string similarity techniques - Develop classification models that categorize unstructured or semi-structured data into meaningful business categories - Engineer features from messy, real-world text data names, addresses, free-text fields using string matching algorithms, phonetic encoding, n-grams, and other NLP techniques - Design candidate retrieval and indexing strategies to make models performant at scale - Tune thresholds, scoring logic, and rule-based overrides to balance precision and recall for production use cases - Maintain production model artifacts and data pipelines, ensuring models stay current as underlying data evolves - Collaborate with engineering and product teams to understand

and translate business problems into well-scoped modeling tasks.