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.
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