Keyrus Matters

We are passionate about our people, our data and our clients! At Keyrus we offer people careers, not just jobs, and to make that successful we need a shared passion.

Our goal is to make data matter in life, in society and in our future. If you are passionate about the same things as we are then you definitely want to read on.

In short, we are a global consultancy, currently in 27 countries that develops data and digital solutions for performance management. Combining business and technical expertise we help companies uncover the most value possible from data while optimizing digital strategy and customer experience. We are more than 3200 worldwide offering the know-how of a large organisation whilst preserving the agility of a young company.

Keyrus Canada is at an exciting time! We’re aligning with the Keyrus Americas team, including US/Canada/Latam to leverage our offerings, clients, and team members.

About the role

As a Machine Learning-AI Specialist you will meet with us the exciting challenges of the most important ML and AI projects in Canada!

•Ability to combine quantitative data with business domain knowledge with large datasets and derive summaries/insights.

• Clean, prepare and analyze complex datasets for ML algorithms, knowledge of statistical methodology and analysis with adv anced programming skills to perform exploratory data analysis with large datasets. 

• Design, build, deploy and refine large-scale machine learning models and algorithmic decision-making systems that solve real-world problems for customers• Experience in Machine learning algorithms, model implementation and optimization to solve Regression, Classification and Segmentation problems.

• Experience in forecasting algorithms, model implementation and optimization

• Experience with ML frameworks/libraries and NLP e.g. Scikit-learn, Pandas, Matplotlib, Seaborn, Tensor flow or PyTorch, etc.

• Experience in deploying ML algorithms in cloud platforms such as Azure, AWS.

• Contribute to data quality control, model validation, model explainability investigation.

• Ability to work in a fast-paced environment, using new techniques and algorithms best suited for solving challenging problems.

Our ideal candidate:

Technical Skills: 

• Strong proficiency in Python, Ro Experience with SQL – Snowflake, SSIS
• In depth knowledge of statistical, ML and forecasting algorithmso Experienced with deployments of ML models in any of the cloud architectures – Azure, AWS or GCP
• Familiarity with version control and CI/CD - Git
• Strong problem-solving skills and the ability to think critically and creatively to develop innovative solutions.

• Soft Skills: 

• Excellent communication and interpersonal skills.
• Strong problem-solving abilities and attention to detail.
• Ability to work collaboratively in a team environment and manage multiple tasks effectively.

• Documentation and Task Management: 

• Maintain thorough documentation of reports, data models, and processes.
• Utilize task management tools (e.g., Monday, JIRA, Trello) to track progress and manage workload.

WHAT WE OFFER

• Location: Montreal
• Hybrid work model: 2 days in the office, 3 days remote.
• A stimulating environment where you will be able to surpass yourself and discover new horizons.
• A strong culture of innovation and entrepreneurship
• Many occasions to celebrate your success: 5 @ 7, team activities, birthdays, breakfasts, and other special events.
• Group insurance for you and your family members.
• RRSP and DPSP participation plan
• Monthly well-being allowance
• Reimbursement of telecommunication costs
• 4 weeks of paid vacation
• Language courses (French & English)
• Access to continuing education (in-house, conferences, events, courses, certifications, etc.)
• Development plan for each employee and coaching.