Sr. Full-Stack Data Scientist - Data Services
About The Position
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.
Requirements
- 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
Responsibilities
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
251-500 employees
