Time since we first saw it
Day 174
Up longer than most. Similar jobs usually come down between day 7 and day 55.
From 10,000 similar postings that came down. Coming down is not always a hire.
Data Scientist
Toronto, ON, Canada
Open 5 months, first seen by us 174 days ago- Pay
- Pay not listed
- Work setting
Remote — work setting source
Work setup in the employer’s posting: Remote
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: 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
Posting record
Report an errorOpen 5 monthsWe first saw this posting 174 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, 2026174 days ago
- Recorded sightings
- 150
- Last seen by us
- Nov 4, 2026
- Employer says posted
- Jan 6, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Ample Insight is hiring
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- 50% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- R
- NumPy
- pandas
- scikit-learn
- TensorFlow
Where the posting names them
- 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
Your next step
Complete your application on jobs.smartrecruiters.com. The employer’s form will show what is required.
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About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
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.