We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Data Scientist Senior Associate within our Corporate Data and Analytics Services Team, you will be instrumental in constructing predictive models and developing robust RAG pipelines. Collaborating closely with cross-functional teams, you will extract valuable insights from complex datasets to promote data-promoten decision-making across the organization. Your focus will include addressing problem statements, innovating solutions for complex challenges, and leveraging code generation tools like Codeium and Copilot. Additionally, you will build AI-promoten solutions to enhance both technological and business efficiency.

Job Responsibilities:

• Design, develop, and implement predictive models to solve complex business problems.
• Develop and maintain RAG pipelines to enhance data retrieval and generation processes.
• Collaborate with data engineers and analysts to ensure data quality and accessibility.
• Analyze large datasets to identify trends, patterns, and opportunities for improvement.
• Communicate findings and insights to stakeholders through clear and concise reports and visualizations.
• Stay up-to-date with the latest advancements in data science and machine learning technologies.
• Contribute to the continuous improvement of data science methodologies and best practices.
• Contribute to MCP, Agentic AI and Generative AI solutions

Required qualifications, capabilities and skills:

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.
• AI deep knowledge, generative/agent building knowledge experience.
• Proven experience in building predictive models and developing RAG pipelines.
• Proficiency in programming languages such as Python or Java
• Strong understanding of machine learning algorithms and statistical techniques.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills and the ability to work collaboratively in a team environment.

Preferred qualifications, capabilities and skills:

• Databricks professional experience.