Data Scientist

Bounteous • Montreal, QC

10d

About The Position

Bounteous is a premier end-to-end digital transformation consultancy dedicated to partnering with ambitious brands to create digital solutions for today’s complex challenges and tomorrow’s opportunities. They deliver innovative and strategic solutions in Strategy, Analytics, Digital Engineering, Cloud, Data & AI, Experience Design, and Marketing, utilizing a Co-Innovation methodology. Their clients worldwide benefit from the skills and expertise of over 4,000+ expert team members across the Americas, APAC, and EMEA. By partnering with leading technology providers, they craft transformative digital experiences that enhance customer engagement and drive business success. The Data Scientist will work as part of a dedicated machine learning squad focused on building Artificial Intelligence solutions, including both traditional ML and Generative AI. The role requires proficiency in Python development, predictive analytics, and prompt engineering. The individual will collaborate with various clients and subject matter experts to understand business requirements, translate them into robust Python implementations, and build machine learning models supported by clear evidence and analysis. A strong understanding of the full lifecycle of ML and Gen AI solutions, including their maintenance and continuous performance monitoring, is essential.

Requirements

• Bachelor’s in computer science or related field.
• 5+ years of experience
• Hands-on experience in building ML and Data Science solutions for real world problems.
• Understanding of ML models and concepts, good practices and analysis.
• Experience/Understanding with Open AI and different LLM models, prompt engineering, testing and performance evaluation.
• Strong data science and statistical analytics skills.
• Strong in problem-solving with innovative mindset.
• Strong Python development skills.

Responsibilities

• Contribute to development and maintenance of Machine Learning models for business problems.
• Contribute to model evaluation, parameter tuning, feature selection and model calibration experiments for predictive analytics projects.
• Contribute towards prompt engineering for data analysis and discovery.
• Conduct regular testing and performance analysis.
• Conduct necessary bench-marking experiments.
• Promote and enforce awareness of key information security practices, including acceptable use of information assets, malware protection, and password security protocols
• Identify, assess, and report security risks, focusing on how these risks impact the confidentiality, integrity, and availability of information assets
• Understand and evaluate how data is stored, processed, or transmitted, ensuring compliance with data privacy and protection standards (GDPR, CCPA, etc.)
• Ensure data protection measures are integrated throughout the information lifecycle to safeguard sensitive information

Benefits

• Bounteous is willing to sponsor eligible candidates for employment visas.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 501-1,000 employees