> Markdown version of [/jobs/ext/3958387-senior-data-scientist](https://www.wearedevelopers.com/jobs/ext/3958387-senior-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Scientist - **Company:** PPG INC - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Cloud Engineering, Software Quality, Distributed Data Store, Python (Programming Language), Machine Learning, Tensorflow, Azure Machine Learning, Software Engineering, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Apache Spark, Google Vertex AI, Deep Learning, Generative AI, AI Platforms, Information Technology, Machine Learning Operations, Api Design, Databricks, Microservices - **Published:** October 27, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-data-scientist--60e2fefb-5b0c-400c-bd33-e12b6fa1d555 ## About the Role Data Science, Customer Experience, Artificial Intelligence (AI), Machine Learning, Supply Chain, Manufacturing, Research & Development (R&D), Software Engineering, Data Science, Deep Learning, * Ph.D. in Data Science, Computer Science, Engineering, Chemistry, Physics, or related field. * 5+ years of experience delivering AI/ML solutions in production environments * Strong expertise in: + Machine learning and deep learning + Statistical modeling and optimization + Python and modern ML frameworks * Proven experience building scalable, production-grade ML systems * Experience working in Agile or product-oriented teams * Preferred qualifications: + Strong software engineering skills: o System design and architecture o API development and microservices o Code quality, testing, and maintainability + Experience in: o Generative AI (LLMs, prompt engineering, retrieval-augmented generation) o Cloud-native AI platforms (Azure ML, AWS SageMaker, GCP Vertex AI) o Distributed data systems (Spark, Databricks) + Experience leading or mentoring teams and driving cross-functional initiatives #LI-PRT1 ## Description We are seeking a Senior Data Scientist who is deeply technical, hands-on, and passionate about building high-quality machine learning models and production-ready solutions, to lead the delivery of high-impact AI/ML initiatives across the enterprise. You will work at the intersection of data science, applied AI, and software engineering, delivering solutions that are both scientifically rigorous and production-ready., * Devising and applying state-of-the-art machine learning, deep learning, and modern AI techniques (including Generative AI, LLMs and Multimodal AI) to solve business and scientific problems. * Evaluate AI/ML readiness and provide data acquisition recommendations to bridge gaps. Build production-grade machine learning solutions, not just prototypes. * Own the development of end-to-end AI/ML projects, including deployment into production environments, and monitoring for continuous improvement. * Design, develop, and maintain software components of internal data science platforms, enabling chemists, engineers, and business users to leverage AI/ML models through intuitive tools, APIs, and applications. * Work with modern data ecosystems (cloud platforms, distributed data systems, and real-time pipelines). * Communicate findings, assumptions, and model performance to both technical and non-technical stakeholders. * Work with global teams to translate innovative ideas into deployable digital products and services with quantifiable business impact. * Stay current on emerging technologies in AI/ML, software engineering, and applied data science., How we work: At PPG, we bring teams together to accelerate collaboration and career development, with in-person work Monday through Thursday and the opportunity to work remotely on Flexible Fridays. Schedules may vary by location.