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Added - 2 days ago IT Data Analyst 5 Information Technology Austin , Texas | Contract Or

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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.
• Perform exploratory analysis, statistical studies, root-cause analysis, forecasting, optimization, and experimentation.
• 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

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