Senior Data Scientist

About this role

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

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