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 regulations.

Qualifications :

- 4+ 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 :

- Bachelors in Computer Science, Statistics, Mathematics, or related field.

Folks with shorter notice period to be preferred