Senior Data Scientist
4 days ago
About This Role
Savormetrics is seeking a highly skilled Senior Data Scientist to contribute to the development of Artificial Intelligence driven sensing solutions for the food and agriculture sector.
Key Responsibilities
- Participate in the development of Savormetrics' Artificial Intelligence Platform
- Lead the development of machine learning algorithms, including artificial neural networks, deep learning, self/auto learning, and SVMs for various customer applications
- Collaborate with the team to design and implement analytics software solutions for customers
- Develop feature engineering techniques and participate in the design of data collection and interpretation software solutions
- Understand customer product requirements and how they relate to AI training and prediction design
- Use research/customer data sets to develop new algorithms for increased accuracy and efficiency for hardware devices
- Create, organize, manage, and analyze large datasets for R&D and product development
- Ensure appropriate software platforms are used to complement the hardware for optimal performance, meeting customer requirements
- Learn customer requirements and rapidly build advanced domain knowledge of the business sectors being focused on
- Design, execute, and report on commercial testing
- Provide support in development and participation in workshops, conferences, and other events, working with internal and external stakeholders
- Provide second-line support for customer issues
- Collaborate effectively with all members of the team
- Fulfill additional work-related duties as required/assigned
Requirements
- High-functioning MASC or PhD degree in Computer Science, Engineering, Mathematics, or a related discipline
- At least 5 years of hands-on industry-related experience with machine learning, artificial neural networks, deep learning, statistical learning, pattern recognition, image processing for information extraction and interpretation
- Knowledge of image processing techniques
- Experience with software/hardware interfacing would be an asset
- Experience in optics/scientific instrumentation space is beneficial
Core Traits
- Initiative and independence
- Objectivity and integrity
- Professionalism
- Problem-solving skills
- Diplomacy and tact
- Leadership potential
- High energy
- Team-player
- Positive attitude
- Result-driven
- Entrepreneurial spirit
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