Senior Scientist, Computer Vision & Robotics
Charles River Analytics · Cambridge, MA · 1 wk ago
EngineeringFull-time
About the role
This position is responsible for developing and implementing predictive maintenance solutions using advanced machine learning algorithms.Responsibilities
- Develop and maintain predictive maintenance models using data from various sources.
- Collaborate with cross-functional teams to understand operational needs and translate them into technical solutions.
- Perform data analysis to identify patterns and trends that can inform maintenance strategies.
- Ensure compliance with industry standards and regulations related to predictive maintenance.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field.
- At least 3 years of experience in predictive maintenance or similar roles.
- Strong proficiency in Python, R, or other relevant programming languages.
- Experience with machine learning libraries such as TensorFlow, PyTorch, or scikit-learn.
- Excellent problem-solving skills and ability to work independently and collaboratively.
Qualifications
- Knowledge of predictive maintenance methodologies and best practices.
- Experience with data preprocessing, feature selection, and model evaluation techniques.
- Understanding of statistical methods and their application in predictive modeling.
- Ability to communicate complex technical concepts to non-technical stakeholders.
Skills
- Proficiency in data visualization tools like Tableau or Power BI.
- Experience with cloud-based platforms such as AWS, Azure, or Google Cloud.
- Knowledge of IoT technologies and their integration into predictive maintenance systems.
Benefits
- Comprehensive health and wellness programs.
- Flexible work arrangements including remote work options.
- Professional development opportunities and training programs.
- Generous paid time off and vacation days.
- Employee discounts on company products and services.