Offer summary

Qualifications:

Bachelor's degree or higher in Computer Science or related engineering field involving coding., Experience implementing and scaling machine learning models in production environments., Strong understanding of machine learning theory and hands-on experience with statistics., Proficiency in Python (Pandas, Numpy, scikit-learn), R, TensorFlow, and other data science tools..

Key responsibilities:

Develop and scale machine learning models for real-world applications.

Work with structured and unstructured data to solve complex problems.

Prototype and implement research ideas into production-ready models.

Collaborate with a team of engineers and data scientists on various projects.

Job description

Company Description

You will join a world-class team of engineers and data scientists from Facebook, Uber, Amazon and Google. We are a fast growing consulting firm based in Toronto with clients ranging from leading startups building impactful technologies to Fortune 500 companies looking to scale their engineering and data capabilities.

Job Description

We are looking for Data Scientists who are passionate about solving real world problems. You enjoy working with both structured and/or unstructured data and are motivated to productize scalable machine learning models. Critical thinking and problem-solving skills are essential for this role.

Qualifications

BS (or higher, e.g., MS, or PhD) in Computer Science or related engineering field involving coding
Experienced implementing and scaling machine learning models in production environments
Strong understanding of machine learning theory
Hands on experience with Statistics
Capable of quickly implementing prototypes of cutting-edge research papers
Proficient in Python (i.e. Pandas, Numpy, scikit-learn, etc), R, TensorFlow, amongst other data science related tools and libraries
Analytical mind and strong business acumen

If you're passionate about data science and is hungry to learn, please apply!