Senior Data Scientist

4 weeks ago


Vancouver, British Columbia, Canada Conexiom Full time

Data Science Role Overview

Conexiom is a leading provider of touchless automation solutions for manual processing of purchase orders and other business documents, leveraging AI-driven automation technology.

This position, Senior Data Scientist - AI Driven Automation Expert, is central to our data science endeavors and requires a skilled professional to develop and implement machine learning models, conduct data analysis, and ensure seamless deployment and integration into production systems.

Key Responsibilities

  • Experiment with various machine learning algorithms and techniques to identify 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.
  • Collaborate with data engineer and Principal ML engineer.
  • Stay updated with the latest advancements in machine learning, AI, and data science.

Requirements and Qualifications

  • 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 environments.
  • Experience in all parts of the ML project lifecycle, 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 like FastAPI.
  • Knowledge of database technologies (SQL, MongoDB, Databricks) and data pipeline tools.
  • Familiarity with ML CI/CD pipelines for development, testing, versioning, and task automation.
  • Familiarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
  • Experience building an enterprise-class business automation solution is a plus.
  • Experience working in a SaaS environment is a plus.

Compensation

The targeted salary range for this position falls between $140,000 and $170,000 CAD, depending on experience and qualifications.


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