BS (or higher) in Computer Science or a related engineering field
Experience with implementing and scaling machine learning models in production environments
Strong understanding of machine learning theory
Hands-on experience with statistics
Ability to rapidly prototype based on new research
Proficient in Python, R, TensorFlow, and relevant data science tools
Analytical mindset combined with strong business acumen
Responsibilities
Solve real-world problems with data
Work with structured and unstructured data
Productize scalable machine learning models
Conduct critical analysis and problem-solving
Implement prototypes of innovative research
Benefits
Competitive compensation
Opportunities to work on projects aligned with your interests
Emphasis on accountability over micro-management
Full 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!
Additional Information
We have competitive compensation.
Work on cool projects based on your interests and skills. We believe in accountability and NOT micro-management.
