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.
Roles and 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
Requirements:
- 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.
