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Aylo

Sr. Full-Stack Data Scientist - Data Services

Sorry, this job was removed at 12:27 a.m. (EST) on Thursday, May 21, 2026
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In-Office
Montréal, QC, CAN
In-Office
Montréal, QC, CAN

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Established in 2004, we are a tech pioneer offering world-class adult entertainment and games on some of the internet’s safest and most popular platforms. With the support of an international team of dynamic and collaborative innovators, we are on a mission to enable safe user experiences and empower our communities by celebrating diversity, inclusion, and expression — all while maintaining robust trust-and-safety protocols.

We embrace the best of both worlds! Local talent can thrive in our collaborative office space with the flexibility of a hybrid work environment, while remote team members play an integral role in shaping our dynamic culture from afar. We have offices in Montreal (Quebec), Austin (Texas) and Nicosia (Cyprus). 

*A select number of positions require full-time in office attendance*

With billions of data points recorded daily from our products, the Data Science team is responsible for improving business operations and user experiences. Some of our Data Science systems include content recommendation, automated multimedia tagging, and fingerprint matching.  As a Senior Data Scientist, you will help enhance our current systems and work on new state-of-the art projects.

What you'll be doing:  

  • Researching solutions to unique data science challenges to meet business needs
  • Developing new efficient solutions
  • Deploying scalable systems
  • Monitoring and maintaining systems
  • When needed, returning to research to find improvements

What you'll need to be successful:

Must Haves:

  • 5+ years of experience in all areas of Data Science (research, development, deployment, maintenance)
  • Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field, or equivalent practical experience.
  • Strong programming skills in Python
  • Strong knowledge of algorithms and their limitations (e.g. execution speed and memory usage)
  • Experience dealing with very large datasets
  • Expertise in cloud providers (AWS, GCP) and Terraform
  • Proficiency in database environments, SQL, and DataBricks
  • Knowledge of containers (like Docker)
  • Familiarity with UNIX/Linux environments
  • Capability to work in teams and exchange constructive feedback
  • Ability to communicate clearly to non-experts

 

As an equal opportunity employer, we celebrate diversity and are committed to creating an inclusive environment for all employees

In this role you may be exposed to adult content



Aylo Montréal, Québec, CAN Office

Montréal, Quebec, Canada

What you need to know about the Montreal Tech Scene

With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.

Key Facts About Montreal Tech

  • Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
  • Major Tech Employers: SAP, Google, Microsoft, Cisco
  • Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
  • Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
  • Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
  • Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal

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