The Data Scientist applies statistics, machine learning, optimization, and programming to manufacturing data to improve safety, quality, throughput, cost, equipment reliability, and decision-making across plants. The role partners closely with Manufacturing IT, plant operations, engineering, quality, maintenance, and data engineering teams.
RESPONSIBILITIES
Translate plant and business problems into measurable analytical questions and use cases.
Identify, access, and assess data from MES, quality systems, equipment historians, maintenance systems, production systems, and other manufacturing sources.
Build reliable analytical datasets and pipelines using SQL, Python, Spark, and Databricks.
Develop, validate, document, and monitor predictive or prescriptive models for use cases such as downtime, scrap, defects, bottlenecks, anomaly detection, yield, and preventive maintenance.
Evaluate data quality, lineage, coverage, missingness, bias, and operational readiness before modeling.
Convert findings into practical recommendations that plant personnel and leaders can use in daily decisions.
Create dashboards, visualizations, reports, and user interfaces that clearly communicate trends, risks, and opportunities.
Productionize analytics and models in partnership with data engineering, application, and Manufacturing IT teams.
Monitor model performance, data drift, pipeline health, and business impact after deployment.
Support manufacturing modernization initiatives, including cloud migration, data-product development, automation, and legacy-system retirement.
REQUIREMENTS
Bachelors Degree in a technical field such as computer science, computer engineering or related field required
8-10 years applicable experience required
Data modeling at least 8-10 years of experience
Data pipeline at least 8-10 years of experience
Data analytics – able to build something out of messy data at least 8-10 years of experience
Experience with database technologies
Knowledge of the ETL process
Knowledge of at least one scripting language
Strong written and oral communication skills
Strong troubleshooting and problem solving skills
Demonstrated history of success
Desire to be working with data and helping businesses make better data driven decisions
#LI-CH1
Numbers & Facts
Location
Austin, TX
Skills
Analysis Skillsunmatched
Automationunmatched
Cloud Computingunmatched
Communication Skillsunmatched
Computer Engineeringunmatched
Computer Scienceunmatched
Data Analysisunmatched
Data Managementunmatched
Data Migrationunmatched
Data Modelingunmatched
Data Qualityunmatched
Data Scienceunmatched
Data Setsunmatched
Database Extract Transform and Load (ETL)unmatched
Database Technologyunmatched
Equipment Maintenance/Repairunmatched
Forecastingunmatched
Identify Issuesunmatched
Information Technology & Information Systemsunmatched
Machine Learningunmatched
Manufacturingunmatched
Manufacturing Execution Systems (MES)unmatched
Manufacturing Systemsunmatched
Performance Analysisunmatched
Performance Modelingunmatched
Predictive Modelingunmatched
Presentation/Verbal Skillsunmatched
Preventative Maintenanceunmatched
Problem Solving Skillsunmatched
Product Developmentunmatched
Production Systemsunmatched
Python Programming/Scripting Languageunmatched
Quality Managementunmatched
Reporting Dashboardsunmatched
Root Cause Analysisunmatched
SQL (Structured Query Language)unmatched
Safety/Work Safetyunmatched
Scripting (Scripting Languages)unmatched
Statisticsunmatched
Use Casesunmatched
User Interface/Experience (UI/UX)unmatched
Writing Skillsunmatched
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