Data Science Developer (USA & Canada)

Location: US or Vancouver, Canada

About the Role:

We are seeking a highly skilled Data Science Developer to join our team in either the US or Vancouver, Canada. As a Data Science Developer, you will be responsible for developing and implementing machine learning models and data-driven solutions. This is a very hands-on role that requires a deep understanding of machine learning algorithms and programming skills.

Key Responsibilities:

  • Develop and implement machine learning models and data-driven solutions
  • Work closely with data scientists to understand business requirements and develop solutions
  • Develop and maintain code for machine learning algorithms and models
  • Collaborate with software engineers to integrate machine learning models into production systems
  • Optimize models for accuracy, efficiency, and scalability
  • Design and implement data pipelines for machine learning models
  • Identify opportunities for process improvements and efficiency gains in machine learning workflows
  • Stay up-to-date with the latest developments in machine learning, data science, and programming languages
  • Ability to travel to the US or Canada as required


  • Bachelor’s /Master’s or Ph.D. degree in Computer Science, Engineering, Physics, Mathematics or Statistics or a related field
  • 3+ years of experience in data science or a related field
  • Strong programming skills in Python or a similar language
  • Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
  • Experience with data visualization tools such as Matplotlib or Tableau
  • Strong understanding of statistics and machine learning algorithms
  • Experience with cloud platforms such as AWS, GCP, or Azure
  • Strong problem-solving and troubleshooting skills
  • Ability to work in a fast-paced environment and meet project deadlines

If you are passionate about data science, have a deep understanding of machine learning algorithms, and are looking for an exciting opportunity to work with a talented team, we would love to hear from you.