Senior Data Scientist

SAVORMETRICS; Halifax; On-site; CAD 90,000 - 130,000; Full time

Job summary

A leading company in AI-driven solutions for food and agriculture is seeking a Senior Data Scientist. The role involves developing machine learning algorithms and AI platforms, requiring a strong background in data science and significant industry experience. Ideal candidates will have an MSc or PhD and expertise in image processing and neural networks, with a focus on innovative problem-solving and teamwork.

Qualifications

• Minimum 5 years of industry experience with machine learning and related techniques.
• Knowledge of image processing techniques is essential.
• Experience in optics/scientific instrumentation is beneficial.

Responsibilities

• Lead the development of machine learning algorithms including neural networks and deep learning.
• Design and implement analytics software solutions for customers.
• Create, manage, and analyze large datasets for R&D and product development.

Skills

Machine Learning

Neural Networks

Deep Learning

Pattern Recognition

Image Processing

Problem-Solving

Innovative Thinking

Education

MSc or PhD in Computer Science, Engineering, Mathematics, or related field

Tools

Software/Hardware Interfacing

Optics/Scientific Instrumentation

Job description

The Senior Data Scientist will contribute to the development of Artificial Intelligence-driven sensing solutions for the food and agriculture sector. The successful candidate will develop and implement AI platforms utilizing various machine learning methodologies, including neural networks, deep learning, self/auto learning, and SVMs, tailored for customer applications. Familiarity with data processing techniques such as image processing, signal processing, and pattern recognition is essential.

What exactly would you be doing?

1. Participate in the development of Savormetrics’ AI Platform.
2. Lead the development of machine learning algorithms including neural networks, deep learning, self/auto learning, and SVMs.
3. Develop feature engineering techniques.
4. Design and implement analytics software solutions for customers.
5. Design and implement data collection and interpretation software solutions.
6. Understand customer product requirements and their relation to AI training and prediction design.
7. Develop new algorithms for increased accuracy and efficiency using research and customer data sets.
8. Create, organize, manage, and analyze large datasets for R&D and product development.
9. Ensure software platforms complement hardware for optimal performance and meet customer requirements.
10. Rapidly learn customer requirements and develop domain knowledge of the focused business sectors.
11. Design, execute, and report on commercial testing.
12. Support development activities and participate in workshops, conferences, and events with stakeholders.
13. Provide second-line support for customer issues.
14. Collaborate effectively with team members.
15. Perform additional duties as required and demonstrate commitment to professional development.

Education and experience required

1. High-functioning MSc or PhD in Computer Science, Engineering, Mathematics, or related field.
2. Minimum 5 years of industry experience with machine learning, neural networks, deep learning, statistical learning, pattern recognition, and image processing.
3. Knowledge of image processing techniques.
4. Experience with software/hardware interfacing is advantageous.
5. Experience in optics/scientific instrumentation is beneficial.

Core traits required

• Initiative and independence.
• Objectivity and integrity.
• Professionalism.
• Problem-solving skills and innovative thinking.
• Diplomacy and tact.
• Leadership potential.
• High energy and adaptability in a fast-paced environment.
• Team-oriented attitude and flexibility.