Description:

The company is a fast-growing consulting firm based in Toronto, comprised of a world-class team of engineers and data scientists from leading tech companies such as Facebook, Uber, Amazon, and Google.
The firm serves a diverse clientele, including startups developing impactful technologies and Fortune 500 companies aiming to enhance their engineering and data capabilities.
The role of Data Scientist involves solving real-world problems and working with both structured and unstructured data.
Candidates should be motivated to develop scalable machine learning models and possess critical thinking and problem-solving skills.

Requirements:

A BS (or higher, such as MS or PhD) in Computer Science or a related engineering field that involves coding is required.
Candidates must have experience in implementing and scaling machine learning models in production environments.
A strong understanding of machine learning theory is essential.
Hands-on experience with statistics is necessary.
The ability to quickly implement prototypes based on cutting-edge research papers is required.
Proficiency in Python (including libraries such as Pandas, Numpy, scikit-learn), R, TensorFlow, and other data science-related tools and libraries is expected.
An analytical mind and strong business acumen are important for this position.

The company offers competitive compensation for its employees.
Employees have the opportunity to work on interesting projects that align with their interests and skills, promoting a culture of accountability without micro-management.

Skills