Introduction
IBM Consultants work directly with our clients on key initiatives. You will have the opportunity to build an in-depth understanding of their business issues and implement organizational strategies that drive adoption of change. We are looking for experts who can build credibility and trust with our clients and provide knowledge that addresses individual and unique business needs.

Your Role and Responsibilities

• A Data Scientist is a skilled professional who leverages advanced analytics, statistical methods, and machine learning to extract actionable insights from data.
• This role involves data collection, preprocessing, model building, interpretation, and communicating results that can influence business decisions.
• Data Scientists often work at the intersection of programming, statistics, and domain expertise.

• 8 - 10 years of related experience
• AI: Providing instant assistance to users through conversational interfaces.
• Understanding user queries and intent, and providing appropriate responses.
• Identifying and addressing common user concerns and issues.
• Collaborating with cross-functional teams to ensure seamless integration with various systems and tools.
• Monitoring and analyzing user feedback to continuously improve the quality of responses and overall user experience.
• Familiarity with natural language processing and understanding techniques.
• Data: Watsonx.Data role involves designing, implementing, and maintaining the infrastructure required to run and optimize the Watsonx.Data service.

• Configuring and managing databases, storage solutions, and network components.
• Data Management: Understanding of data governance, data quality, and data lifecycle management.
• Data Integration: Skills in integrating various data sources, both structured and unstructured, using ETL (Extract, Transform, Load) tools and techniques.
• APIs and Microservices: Understanding of building and consuming APIs and microservices to facilitate data access and integration.
• Big Data Technologies: Familiarity with big data tools like Hadoop, Spark, or NoSQL databases that can handle large volumes of data.

• Experience working with customer relationship management (CRM) systems.
• Analytical Skills: Ability to analyze data and derive insights that can inform business decisions.
• Project Management: Skills in managing projects, including agile methodologies and tools for tracking progress and collaboration.
• Collaboration Tools: Experience with tools like JIRA, Confluence, or Microsoft Teams to facilitate teamwork and communication.
• Domain Knowledge: Understanding of the specific industry or business domain to ensure the data fabric solution meets organizational needs.
• Fluent level of English.