Data Scientist
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
Full-time — employment source
Employment type in the employer’s listing: Full-time
From the employer’s posting
What you’ll work on
Full postingProductize scalable machine learning models
Build data products that extract business insights
Work on data science projects with structured and unstructured data
Quickly prototype cutting-edge research papers
From the employer’s posting
motivated to productize scalable machine learning models
We will also rely on you to build data products to extract valuable business insights
You enjoy doing data science projects with structured and/or unstructured data
Capable of quickly implementing prototypes of cutting-edge research papers
What you’ll bring
All qualificationsCore experience
- BS or higher in Computer Science or a related engineering field involving coding
- Experience implementing and scaling machine learning models in production
- Strong understanding of machine learning theory
- Hands-on experience with statistics
- Proficient in Python, R, and TensorFlow
Qualification wording
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
Proficient in Python (i.e. Pandas, Numpy, scikit-learn, etc), R, TensorFlow, amongst other data science related tools and libraries
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
- Jan 6, 2026
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 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
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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