Senior Data Scientist

Job description

Job Title: Senior Data Scientist Job Description: The Role We are seeking a Senior Data Scientist to lead the design, development, and deployment of Artificial Intelligence (AI), Generative AI, Agentic AI, and advanced analytics solutions that accelerate digital transformation across Manufacturing, Quality, Supply Chain, Engineering, R&D, and Corporate functions. What You’ll Do AI Solution Development Design, develop, and deploy enterprise AI solutions using Large Language Models (LLMs), Generative AI, Agentic AI, and Retrieval-Augmented Generation (RAG) architectures. Build AI assistants, intelligent agents, chatbots, and copilot solutions that automate engineering, manufacturing, quality, supply chain, and business workflows. Develop natural-language-to-SQL solutions that allow users to interact with enterprise data using conversational interfaces. Design semantic search, document intelligence, and knowledge management solutions to improve access to organizational knowledge. Evaluate emerging AI technologies and lead pilot projects to demonstrate business value. Analytics & Tool Development Develop analytical tools and automation platforms using Python, SAS, SQL, and cloud-native technologies. Apply machine learning, statistical analysis, predictive modeling, forecasting, and optimization techniques to solve complex business problems. Create scalable AI and analytics applications that can be deployed across multiple business units. Design and implement APIs, web applications, and self-service analytical platforms. Develop reusable frameworks and accelerators that improve development speed and solution scalability. Data Engineering & Data Architecture Design, develop, and maintain analytical data models, views, and datasets within Snowflake, Google Cloud Platform (GCP), BigQuery , and enterprise data platforms. Collaborate with IT and Data Engineering teams to establish scalable data architectures supporting AI and analytics initiatives. Investigate and resolve data quality, data integration, and data pipeline issues affecting business-critical analytics. Support enterprise data governance and data quality programs. Business Partnership Partner with Manufacturing, Quality, R&D, Supply Chain, Operations, and Corporate teams to identify high-value automation and AI opportunities. Translate business requirements into technical AI and analytical solutions. Present technical concepts, solution roadmaps, and business value to leadership and stakeholders. Serve as a technical advisor for AI, advanced analytics, and workflow automation initiatives. What We Seek Master's degree in Data Science , Computer Science, Electrical Engineering, Statistics, Artificial Intelligence, Machine Learning, or a related technical field. 5+ years of experience developing data science, machine learning, AI, or analytics solutions. Strong expertise in Python and SQL development. Hands-on experience with Generative AI, LLMs, Agentic AI, and RAG architectures . Experience developing enterprise AI applications using frameworks such as LangChain , Hugging Face, Vertex AI, OpenAI, Gemini, or similar technologies. Experience deploying production AI solutions on cloud platforms such as GCP, AWS, or Azure. Strong understanding of machine learning, NLP, predictive modeling, statistical analysis, and optimization techniques. Experience developing REST APIs and scalable software applications. Experience working with cloud data platforms such as Snowflake, BigQuery , Databricks, or similar technologies. Knowledge of MLOps , LLMOps , CI/CD pipelines, and modern AI deployment practices. Experience with Power BI, Tableau, or modern visualization platforms. Ability to collaborate effectively with both technical and business teams. Excellent communication, presentation, and stakeholder management skills. Preferred Qualifications Experience developing multi-agent AI frameworks and autonomous workflow solutions. Experience with FastAPI , cloud-native application development, and AI platform engineering. Experience implementing semantic search, vector databases, embeddings, and knowledge retrieval systems. Experience supporting manufacturing, engineering, quality, or supply chain organizations. Why Work at Entegris Lead. Inspire. Innovate. Define Your Future. Not everyone who works for a global company shares the same background, e xperiences and perspectives. We leverage the differences of our employees to b ring new ideas to the table. Every employee throughout the company is encouraged to share input on projects and initiatives. Our decision- making process is truly a collaborative effort as we realize there are leaders at every level of the organization. We put our values at the core of how we operate as an organization — not just when it’s convenient, but in a lasting and meaningful way . We want the time and energy you spend here to have a positive impact on your life inside and outside of the office. What We Offer Our total rewards package goes above and beyond just a paycheck. Whether you’re looking to build your career, improve your health, or protect your wealth, we offer generous benefits to help you achieve your goals. Compensation: The salary range for this position is $86,500-$108,000. Final compensation will depend on the candidate's overall skills and qualifications for the role. Generous 401(K) plan with an impressive employer match Excellent health, dental and vision insurance packages to fit your n eeds Flexible work schedule and 11 paid holidays a year Paid time off (PTO) policy that empowers you to take the time you need to recharge Education assistance to support your learning journey Values-driven culture with colleagues that rally around People, Accountability, Creativity and Excellence Entegris does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need Entegris immigration sponsorship (e.g., H1B, TN, STEM OPT, etc.) now or in the future. At Entegris we are committed to providing equal opportunity to all employees and applicants. Our policy is to recruit, hire, train, and reward employees for their individual abilities, achievements, and experience without regard to race, color, religion, sexual orientation, age, national origin, disability, marital or military status.