Data Scientist - Advanced Analytics

Introduction

A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.

You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat.

Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.

Your Role And Responsibilities

• Data Collection and Processing
• Collect, clean, and process large datasets from various sources.
• Machine Learning and Predictive Analytics
• Develop and implement machine learning models for predictive analytics.
• Statistical Analysis and Data Mining
• Apply statistical analysis and data mining techniques to uncover trends and patterns.
• Data Pipeline Development
• Build and optimize data pipelines for efficient data processing.
• Data Visualization and Dashboards
• Create data visualizations and dashboards using Tableau, Power BI, Matplotlib, and Streamlit.
• Collaboration with Cross-Functional Teams
• Work closely with cross-functional teams to integrate data solutions into business processes.
• A/B and Hypothesis Testing
• Conduct A/B testing and hypothesis testing to measure business impact.
• Data Quality, Governance, and Compliance
• Ensure data quality, governance, and compliance with privacy regulations.
• Continuous Learning
• Stay updated with the latest advancements in AI/ML and data science technologies.
• Fluent English
• Proficient in English for effective communication and collaboration.
  

Preferred Education

Bachelor's Degree

Required Technical And Professional Expertise

• Data Collection and Processing
• Collect, clean, and process large datasets from various sources.
• Machine Learning and Predictive Analytics
• Develop and implement machine learning models for predictive analytics.
• Statistical Analysis and Data Mining
• Apply statistical analysis and data mining techniques to uncover trends and patterns.
• Data Pipeline Development
• Build and optimize data pipelines for efficient data processing.
• Data Visualization and Dashboards
• Create data visualizations and dashboards using Tableau, Power BI, Matplotlib, and Streamlit.
• Collaboration with Cross-Functional Teams
• Work closely with cross-functional teams to integrate data solutions into business processes.
• A/B and Hypothesis Testing
• Conduct A/B testing and hypothesis testing to measure business impact.
• Data Quality, Governance, and Compliance
• Ensure data quality, governance, and compliance with privacy regulations.
• Continuous Learning
• Stay updated with the latest advancements in AI/ML and data science technologies.
• Fluent English
• Proficient in English for effective communication and collaboration.