- Model Development & Deployment : Lead the design, development, and deployment of machine learning and statistical models to solve complex business problems.

- Databricks Expertise : Leverage extensive hands-on experience with Databricks and the unified analytics platform to build, manage, and scale data science workflows and pipelines.

- Data Analysis & Visualization : Conduct in-depth data analysis, providing actionable insights and creating compelling data visualizations to communicate findings to stakeholders.

- LLM & AI Applications : Apply advanced knowledge of LLM models and other AI technologies to build cutting-edge natural language processing and generative AI solutions.

- Collaboration : Work closely with cross-functional teams, including product managers, data engineers, and business leaders, to understand requirements and deliver impactful data science solutions.

- Communication : Effectively communicate complex technical concepts, model findings, and business implications to both technical and non-technical audiences.

Required Skills & Qualifications :

- 8+ years of professional experience in data science or a related role.

- Strong expertise in machine learning and statistical modeling.

- Extensive hands-on experience with Databricks.

- Proficiency in a programming language commonly used for data science (e.g., Python, R).

- Proven experience with data analysis and data visualization.

- Familiarity with LLM models and their applications is a significant advantage.

- Excellent communication skills for effective collaboration and stakeholder management.

- Bachelor's or Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics)