Description :
- 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.(ref : hirist.tech)