Data Scientist - Machine Learning

Groupe Kardol; Toronto; On-site; CAD 90,000 - 130,000; Full time

Benefits offered by this job

Competitive compensation

Challenging projects

Job summary

Himalayas is seeking passionate Data Scientists to solve real-world problems using structured and unstructured data. You will build and productionize scalable ML models while applying strong statistics and ML theory.

Join a world-class team of engineers and data scientists from leading tech companies; work on cool projects with real impact in a Toronto-based consulting firm. Competitive compensation and growth opportunities offered.

Qualifications

• BS (or higher) in Computer Science or related engineering field involving coding.
• Experienced implementing and scaling ML models in production environments.
• Strong understanding of ML theory and statistics.
• Capable of quickly implementing prototypes of cutting-edge research papers.

Responsibilities

• Solve real-world problems using structured and unstructured data.
• Productize scalable machine learning models for production use.
• Collaborate with engineers and data scientists to build end-to-end data solutions.

Skills

Python

Pandas

Numpy

scikit-learn

R

TensorFlow

Analytical mindset

Education

BS in CS or related engineering field

Tools

Python

Pandas

Numpy

scikit-learn

R

TensorFlow

Job description

We are looking for Data Scientists who are passionate about solving real world problems.

Encoded

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.

• 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,

• We have competitive compensation.
• Work on cool projects based on your interests and skills. We believe in accountability and NOT micro-management.

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.

Originally posted on Himalayas

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We have competitive compensation.

Ul

• 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

Li

We have competitive compensation.

Em

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.

A

Himalayas

Expiry Date

Fri, 20 Nov 2026 12:51:56 GMT