Junior Data Scientist (m/w/d)

Introduction

A career in IBM Consulting is rooted in 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 groundbreaking 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.

In this role, you\’ll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.

Your Role And Responsibilities

As a Junior 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 insights, predict emerging trends, and provide recommendations to stakeholders. Your responsibilities may include:

• Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning techniques in your projects.
• Writing programs to cleanse and integrate data efficiently and in a reusable manner.
• Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants, and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to predict 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 findings to both technical and non-technical audiences.

Preferred Education

Master\’s Degree

Required Technical And Professional Expertise

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

Preferred Technical And Professional Experience

• Excellent teamwork, verbal, and written communication skills.
• Interest in, understanding of, or experience with Design Thinking and Agile Development Methodologies.
• Basic understanding of Cloud platforms (AWS, Azure, etc.).
• Experience constructing usable data sets from multiple structured and unstructured data sources.

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