Data Scientist - Machine Learning
Toronto, ON, Canada
- Pay
- Pay not listed
- Work setting
Remote — work setting source
Work setup in the employer’s listing: Remote
From the employer’s posting- Employment
Contract — employment source
Employment type in the employer’s listing: Contract
From the employer’s posting
What you’ll work on
Full postingSolve real-world problems using structured and unstructured data
Productize scalable machine learning models
Quickly prototype cutting-edge research papers
From the employer’s posting
passionate about solving real world problems
motivated to productize scalable machine learning models
Capable of quickly implementing prototypes of cutting-edge research papers
What you’ll bring
All qualificationsCore experience
- Experience implementing and scaling machine learning models in production
- BS or higher in Computer Science or a related engineering field involving coding
- Strong understanding of machine learning theory
- Proficiency in Python, R, and TensorFlow
- Hands-on statistics experience and strong business acumen
Qualification wording
Experienced implementing and scaling machine learning models in production environments
BS (or higher, e.g., MS, or PhD) in Computer Science or related engineering field involving coding
Strong understanding of machine learning theory
Proficient in Python (i.e. Pandas, Numpy, scikit-learn, etc), R, TensorFlow, amongst other data science related tools and libraries
Hands on experience with Statistics
Education & alternatives
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
Tools in this posting
- Python
- R
- NumPy
- pandas
- scikit-learn
- TensorFlow
Source — Tool mentions in context
- 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
Posting record
Report an errorOpen 5 monthsWe first saw this listing 164 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- May 14, 2026 · 164 days ago
- Recorded sightings
- 140
- Last seen by us
- Oct 25, 2026
- Employer says posted
- Oct 27, 2025
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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Job description
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.
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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Toronto, ON, Canada
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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