We seek a detail-oriented Manufacturing Data Scientist to help optimize manufacturing processes, improve quality, and reduce costs through data-driven decision-making. This role involves working closely with cross-functional teams and leveraging analytics tools to turn factory floor data into actionable insights. You will play a critical role in identifying trends, improving operational performance, and enabling data-driven process improvements across production and assembly lines.
Job Responsibilities (3+ years of Data Analytics Experience)
◦ Collect, clean, and analyze large datasets from manufacturing systems, including production metrics, downtime, scrap rates, and quality control data.
◦ Identify process inefficiencies and bottlenecks, providing data-driven recommendations for performance improvement.
◦ Conduct root cause analysis to uncover the drivers behind defects, downtime, and other manufacturing challenges.
◦ Collaborate with production, engineering, and supply chain teams to implement changes that improve efficiency and quality.
◦ Use predictive modeling to forecast production needs, predict potential equipment failures, and optimize maintenance schedules.
◦ Develop dashboards and KPis using Power BI or Tableau to monitor operational performance and provide clear insights to leadership.
◦ Create and maintain technical documentation, including process flows, SOPs, and analytics reports.
◦ Work with Databricks, Python, R, and SQL to develop analytical models and automate reporting.
Required Skills and Qualifications
· Bachelor's or Master's in Engineering, Mathematics, Statistics, Computer Science, Industrial Engineering, or a related field.
· 3+ years of data analytics experience, preferably in manufacturing, assembly, or operations.
· Proficiency in Python, R, or SQL for statistical analysis and automation.
· Strong understanding of statistical analysis, Lean Manufacturing, Six Sigma, and process optimization techniques.
· Experience with Databricks for analytics and modelling.
· Familiarity with ERP and MES systems.
· Strong analytical problem solving skills and attention to detail.
· Excellent communication and collaboration skills to translate complex data into actionable insights for non-technical stakeholders.
· US Citizen
- · Austin based, onsite role: Monday through Thursday in the office, Friday WFH.
