BranchFactor Summary

The original posting with the fluff stripped out

Management level: Individual contributor
Employment: Remote
Contract: Full-time

Compensation

No salary listed for this role.

Role speciality

Data ScienceMachine Learning

Useful technologies

NumPypandasPythonRscikit-learnTensorFlow

Preferred qualifications

Study levelMaster's or higher

Original posting

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.

What pay is competitive? →Which skills are in demand for this role? →

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