Senior Data and Automation Engineer

We are looking for a Senior Data & Automation Engineer to join our Product Analytics team and drive data-driven solutions, automation, and analytics tools across our manufacturing operations. If you're passionate about building impactful systems, have strong software engineering skills combined with data analytics expertise, and thrive in a collaborative environment, we'd love to hear from you!

What You'll Be Doing

• Design, develop, and deploy automation solutions, dashboards, and analytical tools using Python Build and maintain data pipelines and workflows to improve data integrity and streamline data flows across systems
• Participate as a data analyst and technical contributor in cross-functional task forces addressing critical manufacturing and quality challenges
• Perform system characterizations and collaborate with internal teams to identify opportunities for optimization and deliver custom solutions
• Develop machine learning and AI-driven solutions for anomaly detection, quality control, and predictive analytics
• Present technical insights and recommendations to stakeholders and drive data-informed decision-making
  
  

• BSc in Computer Science, Engineering, Information Systems, or relevant field
• 5+ years of hands-on software development and data analysis experience
• Strong proficiency in Python with experience in data science libraries (Pandas, NumPy, SciPy, Matplotlib)
• Experience with machine learning frameworks (Scikit-learn, XGBoost) and AI/ML platforms
• Proven track record of building automation tools, scripts, and production-ready software solutions
• Experience with SQL and working with large-scale datasets Proficiency with version control systems (Git)
• Experience in dashboard development and data visualization tools (Streamlit, Plotly, Dash, Power BI or similar)
• Excellent communication and collaboration skills with ability to work across multiple teams Self-driven with a problem-solving mindset and ability to translate business needs into technical solutions
  
  

• Background in manufacturing, yield engineering, or product engineering environments
• Experience deploying ML models in production environments
• Familiarity with CI/CD practices and automated testing