Senior Assistant Vice President

As a Senior Data Scientist, you will drive data science initiatives from conception to deployment, crafting advanced ML models and providing mentorship to junior colleagues. Collaborate seamlessly across teams to integrate data-driven solutions and maintain data governance compliance. Stay abreast of industry trends, contribute to thought leadership, and innovate solutions for intricate business problems. 

Responsibilities: 

• Lead and manage data science projects from conception to deployment, ensuring alignment with business objectives and deadlines.  

• Develop and deploy AI and statistical algorithms to extract insights and drive actionable recommendations from complex datasets. 

• Provide guidance and mentorship to junior data scientists on advanced analytics techniques, coding best practices, and model interpretation. 

• Design rigorous testing frameworks to evaluate model performance, validate results, and iterate on models to improve accuracy and reliability. 

• Stay updated with the latest advancements in data science methodologies, tools, and technologies, and contribute to the team's knowledge base through sharing insights, attending conferences, and conducting research. 

• Establishing and maintaining data governance policies, ensuring data integrity, security, and compliance with regulations. 

Qualifications: 

• 5+ Years of prior analytics and data science experience in driving projects involving AI and Advanced Analytics.  

• 3+ Years Experience in Deep Learning frameworks, NLP/Text Analytics, SVM, LSTM, Transformers, Neural network. 

• In-depth understanding and hands on experience in working with Large Language Models along with exposure in fine tuning open source models for variety of use case.  

• Strong exposure in prompt engineering, knowledge of vector database, langchain framework and data embeddings. 

• Strong problem-solving skills and the ability to iterate and experiment to optimize AI model behavior. 

• Proficiency in Python programming language for data analysis, machine learning, and web development. 

• Hands-on experience with machine learning libraries such as NumPy, SciPy, and scikit-learn. 

• Experience with distributed computing frameworks such as PySpark and Dask. 

• Excellent problem-solving skills and attention to detail. 

• Ability to communicate effectively with diverse clients/stakeholders.   

Education Background: 

• Bachelor’s in Computer Science, Statistics, Mathematics, or related field. 

• Tier I/II candidates preferred.  

Folks with shorter notice period to be preferred.