Senior Data Scientist

Entegris

Senior Data Scientist advancing Entegris semiconductor-manufacturing AI and analytics. Building generative AI, machine learning, and data-platform solutions across operations and corporate functions.

Posted 8/25/2026full-timeAustin • Minnesota, Texas • 🇺🇸 United StatesSenior💰 $86,500 - $108,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying AI solutions, including Generative AI and LLMs, while leveraging strong programming skills in Python and SQL. Capable of collaborating with cross-functional teams to translate business needs into technical solutions and ensuring data quality and governance.

Highest-signal resume keywords

AI Solution DesignPython DevelopmentGenerative AI ExpertiseCloud Platform DeploymentData Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningStatistical AnalysisPredictive ModelingNatural Language ProcessingSQL DevelopmentAPI DevelopmentData ModelingAutomation PlatformsAnalytical ToolsOptimization Techniques

Soft Skills

Communication SkillsStakeholder ManagementCollaboration

Tools & Technologies

GCPAWSAzureSnowflakeBigQueryPower BITableauLangChainHugging FaceFastAPI

Certifications & Qualifications

Master's Degree in Data ScienceMaster's Degree in Computer ScienceMaster's Degree in Electrical EngineeringMaster's Degree in StatisticsMaster's Degree in Artificial IntelligenceMaster's Degree in Machine Learning

Industry Keywords

Generative AIAgentic AIRAG ArchitecturesMLOpsLLMOpsCI/CD PipelinesSemantic SearchKnowledge ManagementData QualityWorkflow Automation

Tech Stack

Tools & technologies

AWSAzureBigQueryCloudGoogle Cloud PlatformPythonSQLTableau

About the role

Key responsibilities & impact

Lead the design, development, and deployment of AI, Generative AI, Agentic AI, and advanced analytics solutions
Design and deploy enterprise AI solutions using LLMs, Generative AI, Agentic AI, and RAG architectures
Build AI assistants, intelligent agents, chatbots, and copilot solutions to automate business workflows
Develop natural-language-to-SQL solutions
Design semantic search, document intelligence, and knowledge management solutions
Evaluate emerging AI technologies and lead pilot projects
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
Create scalable AI and analytics applications for multiple business units
Design and implement APIs, web applications, and self-service analytical platforms
Develop reusable frameworks and accelerators
Design, develop, and maintain analytical data models, views, and datasets in Snowflake, GCP, BigQuery, and enterprise data platforms
Collaborate with IT and Data Engineering teams on scalable data architectures
Investigate and resolve data quality, integration, and pipeline issues
Support enterprise data governance and data quality programs
Partner with Manufacturing, Quality, R&D, Supply Chain, Operations, and Corporate teams to identify AI and automation opportunities
Translate business requirements into technical 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

Requirements

What you’ll need

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 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
Entegris does not provide immigration-related sponsorship for this role; applicants must not require Entegris immigration sponsorship now or in the future
Preferred: Experience developing multi-agent AI frameworks and autonomous workflow solutions
Preferred: Experience with FastAPI, cloud-native application development, and AI platform engineering
Preferred: Experience implementing semantic search, vector databases, embeddings, and knowledge retrieval systems
Preferred: Experience supporting manufacturing, engineering, quality, or supply chain organizations

Benefits

Comp & perks

Generous 401(K) plan with an impressive employer match
Excellent health, dental and vision insurance packages
Flexible work schedule
11 paid holidays a year
Paid time off (PTO) policy
Education assistance
Values-driven culture with colleagues that rally around People, Accountability, Creativity and Excellence