Data Scientist

Location: India, US, Canada (Vancouver/Toronto)

Flexday invites AI/Machine Learning/ NLP researchers, hobbyists and thought leaders to join our research and development team.

We are seeking a data scientist who is skilled and interested in developing cutting-edge AI-driven solutions for real-world problems. The ideal candidate will be equally comfortable with theoretical reasoning, software engineering, and collaborating with others. Note that this is not a managerial role, and requires extensive hands-on engineering and data analysis work.


  • Own the end-to-end development of ML products: from collecting requirements from business stakeholders to deploying and maintaining production models.
  • Contribute to the design of highly scalable machine learning (ML) workflows that comply with software engineering best practices.
  • Contribute to improving the quality of existing ML products.
  • Communicate with business stakeholders and technical teams, and write and maintain documents for different kinds of audiences.
  • Collaborate with other data scientists and ML engineers.
  • Supervise interns, including planning and regular guidance.
  • Keep up to date with the latest ML research and technical skills.
  • Be able to deliver and iterate within constrained timeframes.
  • Be comfortable communicating regularly while working remotely in a distributed team.

Skills Requirement:

  • Excellent knowledge of ML, especially Natural Language Processing (NLP) or computer vision.
  • Strong knowledge (at least 5 years) of Python.
  • Strong knowledge (at least 3 years) of ML frameworks and libraries, particularly, PyTorch and scikit-learn.
  • Good knowledge of ML Ops processes and technologies.
  • Good knowledge of cloud infrastructures such as Azure, AWS, or GCP.
  • Good knowledge of *nix systems, including working with *nix commands.
  • Basic knowledge of working with relational databases and SQL.
  • Experience with performance-driven design.
  • Excellent verbal and written English communication skills.

Educational Qualification:

  • Masters or PhD in a quantitative discipline.

NB: Flexday promotes a flexible work model supporting a blend of in-office, remote, and on-the-go work styles as per employee convenience.