Data Scientist

Role & responsibilities

Experience: 8 - 14 years

Primary Skills: Data Science

Secondary Skills: Data Engineering/Data Analytics

Overview:

The role requires a skilled and versatile Data Scientist with strong experience in Natural Language Processing (NLP), Time Series Forecasting, and a working knowledge of Computer Vision (CV) techniques. The candidate will be working on cutting-edge AI applications with tangible business impact and collaborate with a diverse team of engineers, analysts, and domain experts and help us build holistic, multi-modal solutions.

Required Skills:

• Minimum 5 years in a Data Science or ML role with direct experience in NLP and forecasting.
• Proficient in Python and libraries like Pandas, NumPy, Scikit-learn, HuggingFace Transformers, and Prophet/ARIMA.
• Strong understanding of model development lifecycle: from data ingestion to deployment.
• Hands-on experience with SQL and data visualization (e.g., Seaborn, Matplotlib, Tableau).
• Experience handling retail-specific data (ideally Apparel/Footwear) with seasonality, inventory, and sales nuances.
• Familiarity with cloud platforms like AWS, GCP, or Azure for scalable model training and deployment.

Good to have:

• Experience or interest in Computer Vision: object detection, OCR, or visual product search.
• Familiarity with OpenCV, YOLO, CNNs, or OCR tools like Tesseract, EasyOCR.
• Exposure to multi-modal ML systems (combining text, image, and tabular data).
• Knowledge of API development (FastAPI, Flask) to expose ML models for product use.
• Understanding of MLOps practices (e.g., CI/CD for ML, model monitoring).
• Previous experience in fine-tuning LLMs or applying transfer learning in domain-specific NLP tasks.