Machine Learning Data Scientist — Build Scalable Models

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

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.