Senior Data Scientist
About The Position
Qnity Electronics is seeking a Senior Data Scientist to join its R&D department at the Cleveland, Ohio site. This role is crucial for a premier technology provider across the semiconductor value chain, focusing on AI, high-performance computing, and advanced connectivity. The Data Scientist will collaborate with scientists on various R&D projects, leveraging expertise in data cleaning, statistical modeling, machine learning, deep learning, computer vision, generative AI, and large language models (LLMs). The position requires strong coding proficiency in Python or R, the ability to prepare and analyze complex datasets, develop predictive and prescriptive models, build ML/DL pipelines, create visualizations and reports, and evaluate advanced AI models. The ideal candidate will be a highly organized problem solver with structured analytical thinking, capable of communicating technical concepts effectively to stakeholders and collaborating with R&D, data engineering, and domain experts to develop, deploy, and scale AI-driven solutions.
Requirements
- PhD or MS + 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), with expertise in 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.
Nice To Haves
- 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.
Responsibilities
- Collaborate with scientists on a variety of research and development projects.
- Prepare and analyze complex datasets.
- Develop predictive and prescriptive models.
- Build ML/DL pipelines.
- Create compelling visualizations and reports.
- Evaluate advanced AI models including transformer-based architectures and multimodal systems.
- Apply structured analytical thinking to complex scientific and business challenges.
- Effectively communicate technical concepts and results to stakeholders.
- Collaborate closely with R&D, data engineering, and domain experts to develop, deploy, and scale AI-driven solutions.
Benefits
- Comprehensive pay and benefits package.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
