Senior Data Scientist
Brampton, CA
3d ago

Job Description : THE POSITION


We’re looking for a Senior Data Scientist to join the BlackBerry Cylance Data Science team. At Cylance, we develop state-of-the-art machine learning techniques to solve long-standing problems in computer security.

We discover novel ML techniques and applications, build systems to handle petabytes of ludicrously high dimensional data, and protect people from bad guys.

With machine learning at the heart of all of Cylance’s products, the Data Science team is a critical, highly visible, and high-impact team within the company.

The team brings together experts from machine learning, stats, computer science, computer security, and various applied sciences, with backgrounds including deep learning, Bayesian statistics, time-series modeling, topology, scalable data processing, and software engineering.

You don’t need prior experience in security, although it helps. The right candidate will be able to gain domain expertise on the job, surrounded by some of the computer security industry’s leading minds.


Invent novel machine learning techniques to solve important problems in computer security.Improve upon existing machine learning techniques used within Cylance.

Write code that scales to very large datasets, often with millions of dimensions.Discover ways to strengthen machine learning models against adversarial attacks.

Collaborate closely with internal product and engineering teams to help turn ML research prototypes into new products or features.

Publish papers and present research at conferences, including ML / AI / Stats conferences, as well as security conferences like Black Hat, DEFCON, and RSA.

Stay abreast of the latest publications and state-of-the-art techniques in relevant research communities (e.g., ML and stats).

Consult with other teams within Cylance on applications of data science.Collaborate with other data scientists on the team to help accomplish all of the above.


Extensive knowledge of machine learning fundamentals. You don’t just blindly call fit() in sklearn; you have a deep understanding of how many common ML algorithms work and are able to explain why they work the way they do.

Strong math skills in general, especially linear algebra and statistics.Intermediate experience with python, at least to the point that you’re able to implement common machine learning algorithms without much trouble.

A Master’s degree or PhD in a relevant area can be substituted for equivalent years of experience.


Python, and libraries like sklearn, numpy, scipy, pytorch, and tensorflow.Various other languages, including Scala, C / C++, C#, Java, and x86 assembly.

GitSparkVarious AWS services, like EC2 and S3.


Excellent communication skills. You can clearly convey your ideas to others in speech and in writing.Kindness, and a deep willingness to help and collaborate with others.

Five years minimum related experience with machine learning, computer science, and / or statistics.Experience within Cyber Security

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