Senior Data Scientist

Jobtailor

Minnesota

On-site

USD 150,000 - 230,000

Full time

9 days ago

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Job summary

Entegris is seeking a senior AI Solutions lead to architect and deploy scalable AI and analytics platforms. You will guide multi‑discipline teams, translate business needs into technical blueprints, and ensure data governance while advancing Generative AI and agentic workflows.

You will collaborate with IT, Data Eng, and business units to drive pilots, establish roadmaps, and deliver ROI through automation and advanced analytics capabilities.

Qualifications

Master's degree in Data Science, Computer Science, Electrical Engineering, Statistics, AI, or related field.

Responsibilities

Lead design, development, and deployment of AI, Generative AI, Agentic AI, and 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 using Python, SAS, SQL, and cloud-native tech.
Apply ML, statistics, predictive modeling, forecasting, and optimization techniques.
Create scalable AI apps for multiple business units.
Design APIs, web apps, and self-service analytics platforms.
Develop reusable frameworks and accelerators.
Maintain data models, views, and datasets in Snowflake, GCP, BigQuery, and enterprise platforms.
Collaborate with IT and Data Engineering on scalable data architectures.
Resolve data quality and pipeline issues; support data governance programs.
Partner with Manufacturing, Quality, R&D, Supply Chain, and Ops teams to identify AI opportunities.
Translate business requirements into technical solutions; present roadmaps and value to leadership.
Serve as technical advisor for AI, analytics, and automation initiatives.

Skills

Python development

SQL development

Generative AI

LLMs

RAG architectures

REST API development

NLP

Predictive modeling

Statistical analysis

Optimization techniques

Data governance

Collaboration with cross-functional

Stakeholder management

Communication skills

Education

Master's degree in Data Science

Master's degree in Computer Science

Master's degree in Electrical Engineering

Master's degree in Statistics

Master's degree in Artificial Intelligence

Master's degree in Machine Learning

Tools

LangChain

Hugging Face

Vertex AI

OpenAI

Gemini

FastAPI

Snowflake

BigQuery

Databricks

Job description

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

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

Core Competencies

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.

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