Data Scientist & AI

IBM

Confirmed live yesterday High trust

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Work type: On-site
Location: Raleigh, NC
Posted: 18 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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How this pay compares to similar roles

Similar $165k

$101k most similar roles pay here $238k

This listing doesn't post a salary. Most similar roles pay $126,800–$203,900.

Based on 240 similar postings.

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About IBM

IBM is a US-based global technology company providing hybrid cloud, AI, consulting, enterprise software, and IT infrastructure products and services.

IBM currently has 506 open roles on FindRole.

Listed pay typically runs $174,632–$197,165 across 5 roles with salary data.

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At a glance

TL;DR · Data Scientist & AI

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As a Data Scientist & AI ELH - RTP 2027, you will join the AI and Data Science development team as a Junior Developer. In this role, you will collaborate with senior developers to design, develop, and implement AI solutions while building predictive models to generate insights and optimize performance. Your daily work involves collecting, cleaning, analyzing, and visualizing data to support business decisions for real-world applications across enterprise systems. You will utilize Python, NumPy, pandas, scikit-learn, and Git within collaborative workflows. The role requires expertise in machine learning algorithms, model evaluation, and handling structured or unstructured data. Preferred skills include deep learning frameworks like PyTorch or TensorFlow, MLOps tools, Docker, Kubernetes, and experience with distributed systems and storage architectures to solve complex problems within the enterprise infrastructure domain.

Skills

Python NumPy pandas scikit-learn Machine Learning Git PyTorch TensorFlow Keras Docker REST APIs AWS Azure GCP MLflow Kubeflow CI/CD IBM Storage Scale Linux Kubernetes OpenShift

What you'll do

Design, develop, and implement AI solutions for enterprise systems.
Collect, clean, analyze, and visualize data to support business decisions.
Build predictive models in collaboration with senior developers.
Generate actionable insights to optimize company performance.
Preprocess and transform both structured and unstructured data sets.
Apply machine learning algorithms and evaluation techniques to develop robust models.
Follow software engineering principles and debugging practices during the development lifecycle.

What we're looking for

Proficiency in Python and experience with libraries such as NumPy, pandas, and 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.
Experience with deep learning frameworks, MLOps tools, cloud platforms, or container orchestration (preferred).
Bachelor's Degree.

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