Data Scientist

Job Description As a Data Science and LLM Developer Vice President within the Transformation and Analytics team, your role involves defining, refining, and achieving set goals for the firm. You will implement various exploratory data analysis techniques to uncover trends and patterns, identify critical data sources that drive business impact, and collaborate with product owners to develop strategic solutions. Your responsibilities include designing and building data mining queries, transforming raw data into actionable information, data visualization, and architecting solutions leveraging Gen AI and Agentic AI technologies. Additionally, you will develop innovative solutions through research and development initiatives, translating model outputs into user-friendly insights for end users. **Key Responsibilities:** - Implement various exploratory data analysis techniques. - Analyze for trends and patterns. - Identify critical data sources that drive business impact. - Define scope, set priorities, and coordinate activities with product owners. - Collaborate with product teams to develop strategic solutions. - Design and build data mining queries for large datasets. - Transform raw data into actionable information. - Utilize data visualization and storytelling skills. - Architect solutions leveraging Gen AI and Agentic AI technologies. - Develop innovative solutions through research and development initiatives. - Translate model outputs into user-friendly insights for end users. **Qualifications Required:** - Self-starter with attention to detail and results-oriented mindset. - Experience in Statistics, Exploratory and regression data analysis. - Proficiency in LLM, vectorization, database optimization, performance tuning, Agentic AI LLM, RAG based agents. - Familiarity with frameworks like Langchain, LLamaIndex, AutoGen, ReAct, GPT, and Claude models. - Experience in Agentic AI patterns and deploying solutions in production environments. - Proficient in Machine Learning techniques for model development. - Bachelors Degree in Data Science, Computer Science, or Engineering. - 10+ years of experience in Data-related projects and 3+ years in Data Science/AI. - Good communication and analytical skills. **Additional Company Details:** - The company prefers candidates with data querying skills in SQL (Snowflake, Databricks) and Python (packages and libraries like Scikit, Keras, Pandas, PySpark/PySQL). - Exposure to complex ETL development is an added advantage. - Knowledge of CI/CD pipelines is desirable. As a Data Science and LLM Developer Vice President within the Transformation and Analytics team, your role involves defining, refining, and achieving set goals for the firm. You will implement various exploratory data analysis techniques to uncover trends and patterns, identify critical data sources that drive business impact, and collaborate with product owners to develop strategic solutions. Your responsibilities include designing and building data mining queries, transforming raw data into actionable information, data visualization, and architecting solutions leveraging Gen AI and Agentic AI technologies. Additionally, you will develop innovative solutions through research and development initiatives, translating model outputs into user-friendly insights for end users. **Key Responsibilities:** - Implement various exploratory data analysis techniques. - Analyze for trends and patterns. - Identify critical data sources that drive business impact. - Define scope, set priorities, and coordinate activities with product owners. - Collaborate with product teams to develop strategic solutions. - Design and build data mining queries for large datasets. - Transform raw data into actionable information. - Utilize data visualization and storytelling skills. - Architect solutions leveraging Gen AI and Agentic AI technologies. - Develop innovative solutions through research and development initiatives. - Translate model outputs into user-friendly insights for end users. **Qualifications Required:** - Self-starter with attention to detail and results-oriented mindset. - Experience in Statistics, Exploratory and regression data analysis. - Proficiency in LLM, vectorization, database optimization, performance tuning, Agentic AI LLM, RAG based agents. - Familiarity with frameworks like Langchain, LLamaIndex, AutoGen, ReAct, GPT, and Claude models. - Experience in Agentic AI patterns and deploying solutions in production environments. - Proficient in Machine Learning techniques for model development. - Bachelors Degree in Data Science, Computer Science, or Engineering. - 10+ years of experience in Data-related projects and 3+ years in Data Science/AI. - Good communication and analytical skills. **Additional Company Details:** - The company prefers candidates with data querying skills in SQL (Snowflake, Databricks) and Python (packages and libraries like Scikit, Keras, Pandas, PySpark/PySQL). - Exposure to complex ETL deve