Sr. Data Scientist

at  Conexiom

Conexiom® is at the forefront of touchless automation for manual processing of purchase orders and other business documents, all powered by our AI-driven automation platform.
With Conexiom’s ongoing significant growth, we are propelling our data science endeavors further. As a Sr. Data scientist at Conexiom, you’ll be at the center of problem-solving. This position is responsible for developing and implementing machine learning models, conducting data analysis, and ensuring the seamless deployment and integration of these models into production systems.
This position is based in Vancouver, where our headquarters are located, and will require occasional in-person days for team meetings or social events.

SKILLS / REQUIREMENTS:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, Statistics, or a related field.
• 3+ years’ experience in implementing scalable ML systems into production environment.
• Experience in all parts of the lifecycle of ML projects, including initial conceptualization, data handling, model development, and deployment.
• Proficiency in programming languages including Python.
• Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-Learn, etc.
• Experience developing python APIs using tools such as FastAPI.
• Knowledge of database technologies (SQL, MongoDB, Databricks) and data pipeline tools.
• Familiar with ML CI/CD pipelines for development, testing, versioning, and task automation.
• Familiar with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
• Experience building an enterprise class business automation solution a plus.
• Experience working in a SaaS environment a plus.
• Stay updated with the latest advancements in machine learning, AI, and data science.
  Compensation:
  The targeted salary range for this position falls between $140,000 and $170,000 CAD depending on experience and qualifications.
  About Conexiom:
  Conexiom is a cloud-based, purpose-built automation platform that automates the most critical and complex B2B document transactions between buyers and sellers. Manufacturers and distributors across the globe, such as Grainger, Genpak, Honeywell, and Lonza, trust Conexiom to create resilient operations that scale, drive growth, reduce costs, and build frictionless relationships with their customers. Conexiom is based in Vancouver, British Columbia, and has offices in Kitchener, Ontario; London, England; and Chicago, Illinois. Visit Conexiom.com.
  Conexiom embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We are working to ensure that the profile of our staff reflects the profile of the communities we work in and serve. For that reason, we seek resumes and expressions of interest from a broad and diverse talent pool. Strength comes from the inclusion of diverse perspectives and experiences.

• Experiment with various machine learning algorithms and techniques to identify the most suitable ones for given tasks.
• Conduct and validate model performance through comprehensive evaluation metrics.
• Analyze large datasets to extract actionable insights and trends.
• Implement machine learning models into production environments ensuring scalability and reliability.
• Monitor and maintain the performance of deployed models, making updates and improvements as necessary.
• Work closely with data engineer and Principal ML engineer.
• Stay updated with the latest advancements in machine learning, AI, and data science.