Senior Data Scientist (Architect)

About the role

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.
• Follow data, cybersecurity, AI governance, safety, privacy, and change-management requirements.
• Present technical results to both technical and nontechnical audiences and maintain clear documentation.
• Promote reusable analytical methods, standards, and best practices across plants and manufacturing domains.

Requirements

• Bachelor's degree in a technical field such as computer science, computer engineering or related field required.
• At least 8-10 years of experience.
• Experience with SQL, Python, Spark, and Databricks.
• 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.

Skills

• 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.

Benefits

Benefits and PTO included.

Pay

$80-90 per hour (W2).