Data Scientist

Compunnel, Inc.; Montreal (administrative region); On-site; CAD 85,000 - 120,000; Full time

Job summary

Compunnel, Inc. is seeking a Data Scientist to join a machine learning squad focused on AI solutions, including ML and Generative AI.

You will translate client requirements into robust models, ensuring performance and scalability in production settings. Responsibilities include developing and maintaining ML models, evaluating with tuning and feature selection, prompt engineering for data analysis, benchmarking, and monitoring throughout lifecycle, while collaborating with SMEs and clients for

Qualifications

• Bachelor's degree in Computer Science or related field.
• Hands-on experience building ML and Data Science solutions for real-world problems.
• Strong understanding of ML models and concepts, best practices, and analysis.
• Experience with OpenAI and LLM models including prompt engineering, testing, and performance evaluation.

Responsibilities

• Develop and maintain ML models for business applications.
• Conduct model evaluation including parameter tuning, feature selection, and calibration experiments.
• Contribute to prompt engineering for data analysis and discovery.
• Perform testing and performance analysis to ensure solution reliability.
• Conduct benchmarking experiments for model and prompt optimization.
• Collaborate with SMEs and clients to understand requirements and deliver tailored solutions.
• Monitor ML/GenAI solutions throughout their lifecycle for continuous improvement.

Skills

Python

Machine learning

Data analysis

Prompt engineering

Cross-functional collaboration

Education

Bachelor's degree in Computer Science or related field

Tools

OpenAI API

LLMs

Job description

The Data Scientist will join a machine learning squad focused on developing Artificial Intelligence solutions, including ML and Generative AI. This role requires expertise in Python development, predictive analytics, and prompt engineering to deliver innovative solutions for complex business problems. The candidate will collaborate with clients and SMEs to translate requirements into effective models, ensuring performance, scalability, and ongoing monitoring.

Key Responsibilities

• Develop and maintain ML models for business applications.
• Conduct model evaluation including parameter tuning, feature selection, and calibration experiments.
• Contribute to prompt engineering for data analysis and discovery.
• Perform testing and performance analysis to ensure solution reliability.
• Conduct benchmarking experiments for model and prompt optimization.
• Collaborate with SMEs and clients to understand requirements and deliver tailored solutions.
• Monitor ML/GenAI solutions throughout their lifecycle for continuous improvement.

Required Qualifications

• Bachelor’s degree in Computer Science or related field.
• Hands-on experience building ML and Data Science solutions for real-world problems.
• Strong understanding of ML models and concepts, best practices, and analysis.
• Experience with OpenAI and LLM models including prompt engineering, testing, and performance evaluation.
• Strong data science and statistical analytics skills.
• Excellent problem-solving with an innovative mindset.
• Strong communication skills for cross-functional collaboration.

Preferred Qualifications (if any)

• Prior experience in predictive analytics projects.
• Exposure to GenAI solution lifecycle and maintenance.