Job & Company Overview

As a Data Scientist, you will be responsible for analyzing large datasets to extract meaningful insights, develop predictive models, and support data-driven decision-making across the organization. You will collaborate with cross-functional teams to solve complex business problems and drive innovation through data analytics.

What You’ll Do

• Collect, clean, and preprocess large datasets from various sources.
• Develop and implement predictive models and machine learning algorithms.
• Design and maintain the complete workflow of ML development process.
• Analyze data to identify trends, patterns, and opportunities for improvement.
• Collaborate with business stakeholders to understand their needs and translate them into analytical solutions.
• Communicate findings and insights through reports, dashboards, and visualizations.
• Conduct A/B testing and other experiments to validate model performance.
• Stay current with the latest developments in data science and machine learning.
• Document methodologies and maintain detailed records of analytical processes.

What You’ll Need

• Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• 5+ years of experience implementing AI/data science algorithms using one or more modern ML frameworks (e.g., Scikit-learn, PyTorch, LightGBM, XGBoost, etc.).
• Strong knowledge of statistical analysis, machine learning algorithms, and data mining techniques.
• Experience deploying machine learning models in production environments.
• Proficiency in programming languages such as Python, R, or SQL.
• Familiarity with code and data version control tools such as Git and DVC.
• Excellent analytical and problem-solving skills.
• Strong communication, collaboration, and presentation skills.
• Familiarity with agile development methodologies.
• Hands-on experience with cloud-based ML development platforms such as Vertex AI and Azure ML Studio/AI Foundry.

Preferred Qualifications

• Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• Experience working on supply chain management-related application development.
• Experience with deep learning frameworks (e.g., TensorFlow, Keras).
• Knowledge of natural language processing (NLP) and computer vision.
• Familiarity with cloud platforms (AWS, Azure, or Google Cloud).
• Familiarity with big data technologies (e.g., Hadoop, Spark) is a plus.

What We Value

• Get our hands dirty: We hustle for our customers and our team.
• Pick up a shovel: We take initiative and focus to move the business forward.
• Win as a crew: We respect, listen, and challenge each other to succeed.
• Have fun: We love a good laugh and encourage everyone to be their authentic selves.
• Great team culture: We want to hear your ideas! We have a work-hard, play-hard team mentality. Click on link below to view our culture code:
  • English version
  • French version