Data Scientist

Title: Data Scientist
Years of Exp - 5 to 7

Job Description:
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.
Responsibilities:
• 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.
Qualifications:
• 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.