Senior Data Scientist

Quick Facts

• Role: Senior Data Scientist

• Focus: Enterprise AI (Generative AI, Agentic AI), LLM applications, RAG, and advanced analytics

Description

Lead the design, development, and deployment of AI and advanced analytics solutions that accelerate digital transformation across Manufacturing, Quality, Supply Chain, Engineering, R&D, and corporate functions. Build LLM-based assistants and intelligent agents, conversational natural-language-to-SQL, semantic search/document intelligence/knowledge management, and scalable analytics platforms. Partner with business teams to identify high-value AI opportunities and translate requirements into production-ready solutions.

Responsibilities

• Design, develop, and deploy enterprise AI solutions using LLMs, Generative AI, Agentic AI, and RAG architectures

• Build AI assistants, intelligent agents, chatbots, and copilot solutions for engineering, manufacturing, quality, and supply chain workflows

• Develop natural-language-to-SQL capabilities for conversational access to enterprise data

• Implement semantic search, document intelligence, and knowledge management solutions

• Evaluate emerging AI technologies and lead pilot projects to demonstrate business value

• Build analytical tools and automation platforms using Python, SAS, SQL, and cloud-native technologies

• Apply machine learning, statistical analysis, predictive modeling, forecasting, and optimization techniques

• Design and implement scalable AI and analytics applications across multiple business units

• Develop APIs, web applications, and self-service analytical platforms

• Create reusable frameworks and accelerators for scalable, faster development

• Design and maintain analytical data models, views, and datasets in Snowflake and cloud platforms such as GCP/BigQuery

• Collaborate with IT and Data Engineering teams on scalable data architectures supporting AI and analytics

• Investigate and resolve data quality, integration, and pipeline issues affecting business-critical analytics

• Support enterprise data governance and data quality programs

• Partner with stakeholders to identify automation and AI opportunities and communicate solution roadmaps and value

Requirements

• Master’s degree in a related technical field (Data Science, Computer Science, Electrical Engineering, Statistics, AI, or Machine Learning)

• 5+ years of experience developing data science, machine learning, AI, or analytics solutions

• Strong expertise in Python and SQL

• Hands-on experience with Generative AI, LLMs, Agentic AI, and RAG

• Experience developing enterprise AI applications using frameworks such as LangChain, Hugging Face, Vertex AI, OpenAI, Gemini, or similar

• Production cloud deployment experience on GCP, AWS, or Azure

• Strong understanding of machine learning, NLP, predictive modeling, statistical analysis, and optimization

• Experience developing REST APIs and scalable software applications

• Experience with cloud data platforms such as Snowflake, BigQuery, Databricks, or similar

• Knowledge of MLOps/LLMOps and CI/CD pipelines for AI deployment

• Experience with Power BI or Tableau (or similar visualization platforms)

• Strong communication and stakeholder management skills

Benefits

• Compensation range: $86,500–$108,000 (final depends on skills and qualifications)

• 401(k) plan with employer match

• Health, dental, and vision insurance

• Flexible work schedule and 11 paid holidays

• Paid time off (PTO)

• Education assistance

• Values-driven culture