Skip to content

Data Scientist

Seekless can write your résumé for this posting first.
Before you apply
LocationToronto, ON, ca
Work moderemote · Canada
Typefull-time
SeniorityMid
Company size8+ people
PostedJan 6, 2026 · 10mo ago
Verified live48m ago
May no longer be actively hiring
Posted by the company on Jan 6, 202663% of this company's open roles have been listed for 90+ days
How we check a job is still live
At a glanceSummarised by Seekless from the posting.
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
Skills
Python
Pandas
Numpy
scikit-learn
R
TensorFlow
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 Machine Learning, and have deep knowledge in Statistics and Computer Science. You enjoy doing data science projects with structured and/or unstructured data and are motivated to productize scalable machine learning models. We will also rely on you to build data products to extract valuable business insights. 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
Benefits
We have competitive compensation.
Work on cool projects based on your interests and skills. We believe in accountability and NOT micro-management.