About the role
- Design, develop, and deploy scalable ML/AI models to solve complex business challenges across multiple domains.
- Define, build, and evolve data models, analytical tools, and advanced data science capabilities.
- Apply statistical methods and algorithms to extract insights, optimize strategies, and improve business outcomes.
- Deliver solutions in areas such as:
- Object Detection & Image Recognition
- Natural Language Processing (NLP), Sentiment Analysis, Topic Modeling, Concept Extraction
- Recommender Systems, Text Classification, Clustering
- Customer Segmentation, Propensity & Churn Modeling, Lifetime Value Estimation
- Forecasting, Marketing Mix & Price Optimization, Response Modeling
- Generative AI and Large Language Models (LLMs)
- Collaborate with stakeholders to translate complex findings into actionable business insights through clear visualizations and presentations.
- Lead and mentor a team of data scientists; foster knowledge sharing and innovation.
- Drive projects using agile methodologies, ensuring timely delivery of milestones.
- Partner with cross-functional teams (onshore and offshore) to deliver impactful, production-ready solutions.
Requirements
- 6+ years’ experience (3+ years as Data Scientist).
- Strong Python skills (OOP, modular programming, APIs with Flask/FastAPI).
- Expertise in ML algorithms & deep learning frameworks (TensorFlow, Keras, PyTorch).
- Knowledge of Azure cloud, PySpark, and unit testing is a plus.
- Strong communication, problem-solving, and project management skills.
- Degree in Computer Science, Statistics, Maths, or related field.