Senior Data Scientist

About the role

Qnity Electronics is accepting applications for a Senior Data Scientist position at its Cleveland, Ohio site. This role sits within the company’s R&D department and offers the opportunity to collaborate with scientists across a variety of research and development projects. Qnity Electronics is a premier technology provider across the semiconductor value chain, empowering AI, high performance computing, and advanced connectivity.

Responsibilities

• Clean, prepare, and analyze complex datasets using Python or R.
• Develop predictive and prescriptive models, including transformer-based architectures and multimodal systems.
• Build and maintain ML/DL pipelines and deploy AI-driven solutions.
• Create compelling visualizations and reports to communicate findings to stakeholders.
• Apply structured analytical thinking to complex scientific and business challenges.
• Collaborate closely with R&D, data engineering, and domain experts to develop, deploy, and scale AI solutions.

Requirements

• PhD or MS with 3+ years of experience in Data Science, Materials Science, Chemistry, Engineering, or a related technical field.
• Strong programming skills in Python, including data preparation, statistical analysis, feature engineering, model development, evaluation, and visualization.
• Demonstrated expertise in statistical modeling, machine learning, and deep learning across regression, predictive modeling, experimental design, hypothesis testing, supervised and unsupervised learning, classification, clustering, neural networks, and transformer-based architectures.
• Strong hands-on experience with Computer Vision, including image classification, object detection, segmentation, anomaly detection, and image-based predictive modeling.
• Experience with Generative AI and Large Language Models (LLMs), including prompt engineering, Retrieval-Augmented Generation (RAG), AI agents/copilots, and knowledge extraction applications.
• Hands-on experience developing, validating, and deploying AI/ML solutions to solve scientific, engineering, or business problems.
• Experience with modern AI frameworks such as PyTorch, TensorFlow, Scikit-learn, OpenCV, YOLO, or equivalent technologies.

Preferred qualifications

• Experience with Microsoft Azure or other cloud-based AI/ML platforms, including MLOps and model deployment.
• Experience with SQL, MongoDB, data pipelines, and data engineering workflows.
• Excellent communication and interpersonal skills, with the ability to explain complex technical concepts to both technical and non-technical audiences, influence stakeholders, collaborate across multidisciplinary teams, and present analytical findings to leadership and internal clients.

Work arrangement

This position is expected to begin as a fully onsite role in Cleveland, Ohio to support onboarding, training, and immersion in the company’s culture, people, facilities, processes, and technologies. After successfully learning the role and establishing strong working relationships, the position may become eligible for a hybrid arrangement, typically consisting of one remote workday per week, with the potential for up to two remote workdays per week, subject to business needs, job responsibilities, performance, and manager approval.