Location: Vancouver - Pender St, Canada
Thales people architect identity management and data protection solutions at the heart of digital security. Business and governments rely on us to bring trust to the billons of digital interactions they have with people. Our technologies and services help banks exchange funds, people cross borders, energy become smarter and much more. More than 30,000 organizations already rely on us to verify the identities of people and things, grant access to digital services, analyze vast quantities of information and encrypt data to make the connected world more secure.
Thales CPL and Imperva have combined forces to become the largest data security vendor in the world and to jointly develop cybersecurity products for the largest companies around the globe. The joint offering allows covering all aspects of data security for our customers in a way no other vendor can compete with, and makes the Thales and Imperva brand the strongest in the market worldwide!
Vancouver, BC, Canada - Hybrid
Position Summary
Thales an Imperva Company is seeking a talented and experienced Data Scientist who is ever curious about data. We expect this team member to be able to show initiative and creatively find problems as well as solve them. Much of the work of this team is analyzing detection mechanisms in production and then figuring out how to make advances in bot detection, followed by executing on that roadmap.
Key Areas of Responsibility
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Data curiosity. Many of the problems we face reduce to data problems. Must be proficient with analysis and processing of very large datasets
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Determination to solve problems through technical and organizational hurdles.
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Interest in threat detection/identification in an arms race situation. Attackers are constantly trying to bypass our systems. We need to patch vulnerabilities in our existing detection methods that attackers are exploiting as well as come up with new methods and techniques.
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Customer focus: this is both a product team as well as a research team. We need to be willing and able to work with the codebase and provide value to our customers.
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Ability to execute. What we want is demonstrated ability to get things done and work through impediments when they arise.
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Staying informed about developments in Data Science, statistics and related fields. The ideal candidate can read and implement the ideas of research papers.
Minimum Requirements
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Advanced degree in Data Science, Data Analysis, Statistics, Computer Science, or equivalent experience
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Extensive experience performing data analysis
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Demonstrated experience with software experience fundamentals: command line, version control, pull request review, software maintenance, etc.
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Proficiency in analytical programming in Python, R or Julia (Python is preferred)
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In-depth knowledge of data processing and analysis libraries such as Pandas or R’s tidyverse
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In-depth, experienced understanding of SQL and data visualization
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Working knowledge of data structures and algorithms.
The anticipated TTC range for this role is CAD $85,600 - 130,000 Annual. The Company reserves the right to ultimately pay more or less than the posted range and offer additional benefits and other compensation, depending on circumstances not related to an applicant’s status protected by local, state, or federal law.
If you’re excited about working with Thales, but not meeting the requirements for this position, we encourage you to join our Talent Community! https://careers.thalesgroup.com/global/en/jointalentcommunity. You can upload your CV and our recruiters can get in touch with any new opportunities that may be of interest to you.
Why Join Us?
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Thales is an equal opportunity employer which values diversity and inclusivity in the workplace. Thales is committed to providing accommodations in all parts of the interview process. Applicants selected for an interview who require accommodation are asked to advise accordingly upon the invitation for an interview. We will work with you to meet your needs. All accommodation information provided will be treated as confidential and used only for the purpose of providing an accessible candidate experience.
