Data Scientist

Introduction

At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.

Your Role And Responsibilities

As a professional in this role, you will be responsible for analyzing and modeling fuel blending processes using machine learning and optimization techniques. Your key responsibilities will include developing non-linear algorithms to recommend optimal blend compositions, selecting and training AI and machine learning models, and designing simulation tools to evaluate blending strategies under different scenarios.

Preferred Education

Bachelor's Degree

Required Technical And Professional Expertise

• Experience with machine learning and optimization techniques
• Ability to develop non-linear algorithms for optimization problems
• Knowledge of AI and machine learning models for predictive and prescriptive analytics
• Familiarity with simulation tools and scenario analysis
• Strong analytical and problem-solving skills
  
  

Preferred Technical And Professional Experience

• Experience with fuel blending processes and industry-specific constraints
• Knowledge of programming languages and software relevant to machine learning and simulation
• Familiarity with data analysis and visualization tools
• Ability to work with cross-functional teams and communicate complex technical concepts
• Experience with cloud-based platforms and big data analytics