• 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.

Required Technical and Professional 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.

Key responsibilities include:

• 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.

Preferred Technical and Professional Expertise

• 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.