Introduction
As a Data Scientist at IBM, you will help transform our clients' data into tangible business value by analyzing information, communicating outcomes and collaborating on product development. Work with Best in Class open source and visual tools, along with the most flexible and scalable deployment options. Whether it's investigating patient trends or weather patterns, you will work to solve real world problems for the industries transforming how we live.

Your Role and Responsibilities
Data powers the insights companies use to transform the way they work. Do you enjoy analyzing data to push marketers to take actions that improve their performance? Do you have proven experience finding actionable insights in large data sets that lead to measurable business results?

• The Performance Intelligence org directly impacts the direction of the marketing organization and all of IBM. We provide insights that drive both strategic and tactical outcomes for the company and directly guide marketing execution.

• We are looking to implement the vision of an automated AI Data Analyst that consolidates access to insights and visualization of marketing data, using AI assistant technology that will reliably serve information to executive leadership and decision makers in marketing

• In this role, you will have the opportunity to utilize your experience and specialization in data science and AI to accelerate our delivery timeline in the development of advanced generative AI use cases in the organization.

• Use the latest AI tools and libraries to unlock the power of AI as an enabler for better insights of our performance data
• Utilize various IBM and open source frameworks to develop AI multi agent workflows for data analysis and visualization and implement plus deploy AI automation solutions
• Develop, design and present data-driven optimization recommendations via dashboards, reports, and analyses
• Work with other team members, marketing groups, and IBM leadership to onboard new AI use cases and capabilities.

• 6+ years of relevant data science work experience in complex data querying and work with complex data models using Advanced SQL/Python or other query and programming tools to process and analyze data.
• Experience with AI foundational technologies: LLM, watsonx (or other platforms), prompt engineering, Langchain, vector databases, RAG, chainlit/streamlit.
• Demonstrates a strong ability to leverage AI tools to implement intelligent assistants, automation, and retrieval augmented generation.
• Thought leadership in working on functional objectives and shaping a solution.
• Ability to translate business requirements into technical solution
• Familiarity with Microservices architecture, infrastructure concepts and cloud platforms AWS, Azure, IBM Cloud, or Google Cloud.

• Master's degree in Data Science / Computer Programming is a strong plus.
• Relevant work experience in marketing analytics and web analytics is a plus.