Data Scientist

About the Role

Apply machine learning to optimize production processes and predict material performance.

Responsibilities

• •Develop machine learning models for process optimization
• •Analyze large datasets to identify patterns and insights
• •Create predictive models for material performance and quality
• •Build data pipelines and automation workflows
• •Collaborate with engineering teams to implement data-driven solutions
• •Develop dashboards and visualizations for stakeholders
• •Stay current with latest ML/AI technologies and best practices

Qualifications

• •Master's or PhD in Data Science, Computer Science, Statistics, or related field
• •3-5 years of experience in data science or machine learning
• •Proficiency in Python, R, and SQL
• •Experience with ML frameworks (TensorFlow, PyTorch, scikit-learn)
• •Knowledge of statistical analysis and experimental design
• •Experience with cloud platforms (AWS, Azure, or GCP)
• •Strong communication skills to explain complex concepts

Benefits & Perks

• •Competitive salary and equity options
• •Remote/hybrid flexibility
• •Comprehensive benefits
• •Professional development budget
• •Cutting-edge technology stack
• •Collaborative data science team