Overview
Data Scientist II Jobs in Toronto, Ontario, Canada at Sundayy
Title: Data Scientist II
Company: Sundayy
Location: Toronto, Ontario, Canada
About The Company
Scribd, Inc. is dedicated to advancing human understanding through innovative digital content solutions. Our mission is to help billions of people worldwide move beyond mere access to information and into realms of insight, application, and expertise. We achieve this through our suite of products, including Scribd®, Slideshare®, Everand™, and Fable, which serve diverse user needs across reading, sharing, and learning experiences. With a focus on fostering a culture of boldness, authenticity, and customer-centricity, Scribd, Inc. supports a dynamic work environment that encourages debate, collaboration, and continuous growth. Our commitment to flexibility is exemplified by Scribd Flex, empowering employees to choose work styles and locations that optimize their performance while maintaining meaningful in-person interactions to strengthen our community and culture.
About The Role
We are seeking a highly skilled Data Scientist II to join our Applied Research team. This team comprises data scientists and content specialists who leverage machine learning, natural language processing, and generative AI models to develop impactful solutions for our users and business operations. As a key contributor, you will design, develop, and deploy advanced AI and ML systems that enhance content enrichment, search, recommendations, translation, and more across diverse media formats. Collaborating closely with Product, Engineering, and Data Engineering teams, you will work on large-scale datasets, utilizing state-of-the-art language models and machine learning techniques to solve complex challenges. The ideal candidate is curious, collaborative, and passionate about building scalable models that deliver measurable impact, with an emphasis on simplicity, end-to-end visibility, and innovation.
Qualifications
- 3+ years of professional experience in developing and deploying machine learning models at scale
- Proficiency in Python programming
- Hands-on experience building ML pipelines and working with distributed data processing frameworks such as Apache Spark, Databricks, or similar
- Intermediate expertise in at least three of the following areas: classification algorithms, natural language processing, search, information retrieval, named entity recognition, deep learning, generative models
- Intermediate or advanced experience with SQL or PySpark
- Bachelor’s or Master’s degree in Statistics, Computer Science, Data Science, Artificial Intelligence, or related quantitative discipline
- Strong understanding of machine learning algorithms, data processing, and model deployment
- Excellent communication skills, both written and verbal, with the ability to collaborate effectively across teams
Responsibilities
- Develop and implement a variety of content classification use cases, utilizing traditional NLP techniques, large language models, and generative AI
- Investigate and propose solutions for complex problems at scale, focusing on performance and accuracy
- Collaborate with cross-functional teams including Data Scientists, Machine Learning Engineers, and Data Engineers to design and deploy scalable AI systems
- Utilize a broad range of algorithms and tools, from classical models in Scikit-learn and NumPy to custom neural networks in PyTorch and third-party LLM APIs
- Process and analyze large datasets using Python, SQL, Spark, and other data processing tools
- Document project approaches, results, and insights clearly and concisely for stakeholders
- Stay updated with the latest advancements in AI and machine learning, applying innovative techniques to enhance product capabilities
Benefits
- Scribd Flex: flexible work model supporting workstyle and location choices
- Comprehensive health, dental, and vision insurance coverage
- Mental health support and disability benefits
- Generous paid time off, including vacation, sick leave, holidays, winter break, volunteer days, and sabbaticals
- Paid parental leave and family support programs
- Retirement matching contributions and employee stock options
- Access to learning and professional development resources
- Wellness stipends and home office allowances
- Complimentary access to Scribd products and enterprise AI tools
Equal Opportunity
Scribd, Inc. is an equal employment opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees regardless of race, color, religion, gender, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by law. We encourage individuals from all backgrounds to apply and join us in building innovative solutions that make a meaningful impact.
