Data Scientist

As a Data Scientist, you will derive actionable insights from large, complex and unstructured data by developing AI/ML techniques. Development, optimization and evaluating as well as deploying them into production environments would be the key aspects of your role. You will have to 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.

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


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


• Perform R&D by exploring and optimizing algorithms, methodologies, and technologies to tackle complex problems and drive innovation. 


• 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.

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


• Strong expertise 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.


• Excellent problem-solving skills and attention to detail.


• Ability to communicate effectively with diverse clients/stakeholders.