AI Data Scientist — Greenfield Manufacturing

Skill; Austin (TX); On-site; USD 185,976,000 - 199,752,000; Full time

Benefits offered by this job

Health benefits

Vision & dental

Retirement match

Paid time off

Training & learning

Job summary

Aquent Talent is partnering with a global leader to build a brand-new AI-driven application for manufacturing operations. This greenfield project offers creative freedom to design data models and analytics that improve safety, quality, throughput, and equipment reliability.

You will translate complex problems into measurable questions, access diverse data sources, and productionize models with dashboards and interfaces that drive decisions across facilities.

Qualifications

• Bachelor's degree in a technical field (Computer Science, Computer Engineering, or related)
• 8–10 years of professional data-focused experience
• 8–10 years in data modeling and data structures
• 8–10 years building and managing robust data pipelines
• 8–10 years of data analytics extracting insights from complex data
• Proficiency in SQL, Python, Spark and Databricks
• Strong statistics, ML and optimization background
• Excellent communication and cross-team collaboration
• US work authorization without employer sponsorship

Responsibilities

• Translate complex operational challenges into measurable analytical questions and use cases
• Access and assess data from diverse manufacturing sources
• Design and build robust analytical datasets and scalable pipelines with SQL, Python, Spark, Databricks
• Conduct exploratory analysis, forecasting, optimization, and experimentation for data-driven decisions
• Develop, validate, document, and monitor predictive/prescriptive models for downtime, scrap, defects, bottlenecks, anomalies
• Evaluate data quality, lineage and readiness before deployment
• Translate analytical findings into practical recommendations for plant personnel
• Create dashboards and visualizations communicating trends, risks, opportunities
• Collaborate with data engineering and OT teams to productionize analytics
• Monitor model performance and data drift post-deployment
• Support cloud migration and data-product modernization initiatives
• Uphold data governance, cybersecurity and AI governance standards
• Present technical results to diverse audiences with clear documentation
• Promote reusable analytical methods and best practices across domains

Skills

SQL

Python

Spark

Databricks

Data modeling

Data pipelines

Statistics

Machine learning

Communication

Cross-functional collaboration

Education

Bachelor's degree in a technical field (Computer Science / Computer Engineering)

Tools

Databricks

Job description

Aquent Talent is partnering with a global leader to build a brand-new AI-driven application for manufacturing operations. This greenfield project offers creative freedom to design data models and analytics that improve safety, quality, throughput, and equipment reliability.

You will translate complex problems into measurable questions, access diverse data sources, and productionize models with dashboards and interfaces that drive decisions across facilities.