Associate Data Scientist

Join IBM as an Associate Data Scientist

Introduction

In this role, you will join IBM Consulting via our world-class Associate Program for university hires. As an Associate Data Scientist at IBM Consulting, you will have the opportunity to work with a diverse range of clients worldwide. Our clients' technical and business needs are constantly evolving. We're hiring inspired, talented individuals who believe no problem is too big to solve.

We focus on your professional development through ongoing learning, mentorship, development of technical skills, and continuous personal growth, all grounded in a culture of coaching and career advancement. If you see yourself as someone who never stops learning and who wants to unleash your potential, the IBM Consulting Associates Program is for you.

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

Your Role and Responsibilities

As an Associate Data Scientist at IBM, you will work to solve business problems using leading-edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for:

• Implementing and validating predictive and prescriptive models, creating and maintaining statistical models with a focus on big data and incorporating machine learning techniques in your projects.
• Writing programs to cleanse and integrate data in an efficient and reusable manner.
• Working in an Agile, collaborative environment, partnering with other data scientists, engineers, consultants, and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors.
• Communicating with internal and external clients to understand and define business needs and appropriate modeling techniques to provide analytical solutions.
• Evaluating modeling results and communicating the results to technical and non-technical audiences.

Required Technical and Professional Expertise

• Strong fundamentals in Mathematics and Computer Science (algorithms).
• Proficiency in at least one of the statistical programming languages, such as R, Python, Scala, SAS, SPSS, or Matlab.
• Basic understanding of or experience with predictive/prescriptive modeling skills.
• Strong technical and analytical abilities, a knack for driving impact and growth, and some experience with programming/scripting in a language such as Java or Python.
• Problem-solving skills, debugging, troubleshooting, and designing and implementing solutions to complex technical issues.
• Up to 100% travel.

Preferred Technical And Professional Expertise

• Teamwork and excellent verbal and written communication skills.
• Basic understanding of Cloud (AWS, Azure, etc.).
• Familiarity with constructing usable data sets from multiple structured and unstructured data sources.

About IBM

IBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason, and science, we can improve business, society, and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.

Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we’re also one of the biggest technology and consulting employers, with many of the Fortune 50 companies relying on the IBM Cloud to run their business.

At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing, and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.