Data Scientist & AI ELH - RTP 2027

IBM; Durham (NC); On-site; USD 60,000 - 90,000; Full time

Job summary

IBM is seeking a proactive Junior Developer to contribute to AI and Data Science projects in Durham. You will design, implement, and optimize AI solutions, working with data collection, cleaning, and visualization to support enterprise decisions.

You will collaborate with Senior Developers to build predictive models, generate insights, and drive performance improvements across systems, leveraging Python, ML, and modern data workflows.

Qualifications

• Proficiency in Python with NumPy, pandas, scikit-learn.
• Strong ML algorithm knowledge and model evaluation.
• Git and collaborative workflows experience.
• Experience handling structured and unstructured data.
• Understanding of software engineering and debugging practices.
• Strong analytical and problem-solving skills.

Responsibilities

• Design, develop, and implement AI solutions.
• Collect, clean, analyze, and visualize data to support business decisions.
• Collaborate with Senior Developers to build models.
• Create predictive models, generate insights, and help optimize performance.

Skills

Python

NumPy

pandas

scikit-learn

ML algorithms

Git

data preprocessing

software engineering

analytical thinking

Tools

Docker

REST APIs

AWS/Azure/GCP

Kubernetes/OpenShift

Job description

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?

Your Role And Responsibilities

We are seeking a motivated and technically skilled early-career professional to join our AI and Data Science development team. As a Junior Developer, you will contribute to the design, development, and implementation of AI solutions and look for ways to efficiently collect, clean, analyze, and visualize data to support business decisions that support real-world applications across enterprise systems. This role is ideal for someone with a strong foundation in machine learning and software engineering who is eager to grow in a collaborative, innovation-driven environment. You will work with Senior Developers to build models helping to create predictive models, generate insights and help optimize company performance.

Required Technical And Professional Expertise

• Proficiency in Python and experience with libraries such as NumPy, pandas, scikit-learn.
• Solid understanding of machine learning algorithms and model evaluation techniques.
• Experience with Git and collaborative development workflows.
• Ability to work with structured and unstructured data, including preprocessing and transformation.
• Familiarity with software engineering principles and debugging practices.
• Strong analytical and problem-solving skills.

Preferred Technical And Professional Experience

• Experience with deep learning frameworks (e.g., PyTorch, TensorFlow, Keras).
• Exposure to model deployment using Docker, REST APIs, or cloud platforms (AWS, Azure, GCP).
• Understanding of MLOps tools and practices (e.g., MLflow, Kubeflow, CI/CD pipelines).
• Knowledge of distributed systems, storage architectures (e.g., IBM Storage Scale), and performance optimization.
• Familiarity with Linux environments and container orchestration (e.g., Kubernetes, OpenShift).
• Awareness of ethical AI principles, including fairness, transparency, and bias mitigation.