Posting record
Open 12+ days
- Ampleinsightinc's site dates the posting
- Ghostless first sees this listing
- Last checked: still up
How we know
It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.
Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Ampleinsightinc, so its true age is longer.
Last checked Nov 4, 2026.
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Upload your resumeWhat the posting discloses
Not stated: Pay, real vacancy, AI screening.
Why these three
Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.
Some employers add pay only on their own site. Check the original posting before you rule it out.
Skills mentioned
About the role
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
We have competitive compensation.
Work on cool projects based on your interests and skills. We believe in accountability and NOT micro-management.
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