Data Scientist

Roles and Responsibilities:

Develop and execute independently end-to-end AI solution aligned with Strategic objective of being a Data Driven and AI Powered Organization.
Identify opportunities to leverage AI/GenAI in solutions related to enhancing customer experience and improving the operational Efficiency.
Lead the selection, implementation, and integration of AI-powered solutions (chatbots, product recommendation, co-pilots, virtual assistants, etc.).
Collaborate with cross-functional teams (business groups and support functions) to ensure seamless integration of AI solutions.
Facilitate PoCs for potential use-cases by identify the appropriate modelling technique and use Machine Learning and Deep Learning to develop / supervise development of self-correcting models and algorithms across the Business Value Chain
Build and train production grade ML models on large-scale datasets to solve various business use cases
Monitor and analyze the performance of AI models, making continual improvements for optimal results.
Stay up-to-date on the latest advancements in AI and identify new technologies that can benefit Organization.

Required Qualification, Capabilities, And Skills:

Master’s, or equivalent degree program in mathematics, sciences, statistics, or engineering
Solid understanding of data engineering principles and technologies (e.g., ETL, data pipelines, data warehousing)
Expertise in AI and ML concepts, algorithms, and libraries (e.g. Pandas, , TensorFlow, PyTorch), Time Series Analysis, Forecasting, Statistic
Experience with database systems (e.g., SQL, NoSQL) and data modeling
Programming experience with Python.
7 years of Experience