Data Scientist

THE ROLE

Our site in Billerica, MA or Aurora, IL or Chaska, MN is seeking a Data Scientist to join our team. We are looking for a skilled Data Scientist with expertise in statistics, knowledge graphs, machine learning and generative AI. The ideal candidate has a strong background in quantitative analysis, experience with complex data structures, and is well-versed in designing and implementing AI models using Knowledge Graphs. You will play a pivotal role in building and deploying sophisticated data models, extracting insights, and developing scalable AI solutions for our product lines. 

WHAT YOU'LL DO

• Statistical Analysis and Data Modeling 

• Conduct exploratory data analysis (EDA) and build statistical models to understand complex data patterns and drive strategic decisions. 

• Design and implement statistical experiments to validate hypotheses and measure outcomes, with a focus on scalability and reproducibility. 

• Utilize advanced statistical techniques, including Bayesian methods, time series analysis, and predictive modeling. 

• Develop and maintain interactive analytical tools and visualizations to support data-driven decision-making. 

• Knowledge Graph Development 

• Develop and maintain large-scale knowledge graphs to represent relationships across complex datasets. 

• Extract, transform, and load (ETL) data from various sources to create interconnected knowledge representations. 

• Implement graph-based algorithms to derive insights, improve recommendation systems, and enhance search capabilities. 

• Ensure knowledge graph scalability, accuracy, and performance for end-user applications. 

• Generative AI and Machine Learning 

• Design, train, and fine-tune generative AI models, such as language models (e.g., GPT, BERT), to generate new content and enhance data insights. 

• Work with large-scale datasets to create innovative solutions and deploy machine learning models that solve real-world business problems. 

• Collaborate with software engineers to integrate generative AI solutions into existing applications, ensuring seamless user experiences. 

• Cross-Functional Collaboration and Communication 

• Collaborate closely with manufacturing engineers, quality engineers, R&D scientists and data engineers to understand business requirements and translate them to successful model deployment. 

• Communicate complex technical concepts effectively to both technical and non-technical stakeholders. 

• Document methodologies, workflows, and best practices to support knowledge sharing and training within the team. 

WHAT WE SEEK

• Education: Master’s or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or a related field. 

• Experience: 3+ years of experience in data science, with a focus on statistical modeling, knowledge graphs, and/or generative AI applications. 

• Technical Skills: 

• Proficiency in Python, R, or a similar programming language for data analysis. 

• Experience with graph databases (e.g., Neo4j, ArangoDB) and graph algorithms. 

• Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch) and generative AI models. 

• Experience managing workloads in cloud analytic environments (e.g. GCP/AWS/Azure) 

• Strong foundation in statistical techniques, data structures, and algorithmic thinking. 

• Excellent communication skills and ability to work collaboratively in cross-functional teams. 

• Ability to manage multiple priorities in a fast-paced, dynamic environment. 

OUTSTANDING CANDIDATES WILL HAVE: 

• Experience with large language models and/or transformers. 

• Familiarity with knowledge representation and semantic web technologies (e.g., RDF, OWL). 

• Proficiency with cloud computing platforms (e.g., AWS, GCP, Azure) and containerization (e.g., Docker, Kubernetes). 

WHY WORK AT ENTEGRIS? 
 
Lead. Inspire. Innovate. Define Your Future. 
 
Not everyone who works for a global company shares the same background, experiences and perspectives. We leverage the differences of our employees to bring 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: