The data scientist professional will be responsible for the creative design, built and implementation of different and advanced AI/ML models to solve complex business problems across functions in a multi-industry environment. He/she needs to work collaboratively with other data scientist professionals and business stakeholders.

Overall Responsibilities: 
• Be an expert data scientist, responsible for end-to end ownership and execution of assigned AI-ML responsibilities 
• Creative thinker, capable of linking AI and ML methodologies to solve identified business challenges 
• Self-driven and result oriented and able to meet tight timelines 
• Efficient project management capabilities to drive results timely to stakeholders

Technical Responsibilities: 
• Understand project requirements and evaluate use case feasibility with the data provided 
• Communicate and collaborate with key stakeholders to translate business problems into data science logics 
• Manipulate raw data into analysis-ready datasets 
• Identify data abnormalities and their root causes, and suggest possible steps for mitigation 
• Perform ad-hoc analysis, generate valuable and actionable insights from large, structured, semi structured and unstructured data sets 
• Help build storyboarding for presentations through data 
• Formulate validation strategies to ensure accurate and reliable data 
• Engineer features by using their business acumen to find new ways to combine disparate internal and external structured and unstructured data sets and sources 
• Research, design, implement and validate cutting edge algorithms using machine learning, mathematical models and dynamic simulations 
• Excellent knowledge in statistical techniques and advanced machine learning algorithms (like regression, classification, PCA, clustering, SVM, Random forest, time series, decision trees), text analytics, NLP, Optimization (linear programming) etc. 
• Knowledge in Neural Networks/ Deep Learning/GAN/Graph Theory & Digital Analytics 
• Experience in GenAI, building RAG frameworks, GenAI driven chatbots etc. 
• Expert in coding in programming languages like Python/R/SAS 
• Working knowledge of data warehouse tools like SQL,Teradata,MySQL, Hive etc. 
• Experience in BI and Visual Analytics tools like Tableau/Qlikview/Cognos/SAS Enterprise BI will be of added advantage 
• Strong team player with ability to collaborate effectively across different team