Data Science Manager

October 20

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Top Hat

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Top Hat is transforming student engagement by empowering educators to deliver personalized, meaningful and equitable learning. More than 3 million students at 750 of the top 1,000 colleges and universities in North America have used Top Hat.

201 - 500 employees

📋 Description

• Delivering AI and analytics solutions that improve learning outcomes (e.g., withdrawal-rate reduction, mastery-based personalization, agentic AI). • Driving the next generation of personalization across our products (Ace Practice, Study Planner, Recommendations, etc.). • Building a strong partnership with Product Development, and Learning teams to ship data-driven features at scale. • Cultivating a culture of curiosity, rigor, and measurable impact within your team. • Lead & Develop the Team: Coach, mentor, and grow a team of data scientists. Foster technical excellence and career development. • Advance AI-First Capabilities: Contribute to the design of agentic AI (using Google ADK, Vertex AI), adaptive mastery algorithms, and graph-based knowledge representations. • Deliver Impactful Models & Insights: Drive roadmap-aligned projects such as learning mastery diagnostics, recommender systems, and A/B experimentation. • Partner Cross-Functionally: Collaborate with Product, Engineering, Learning Materials, and Customer Success to translate educational goals into actionable AI solutions. • Ensure Quality & Reliability: Establish standards for experimentation, model governance, bias detection, and reproducibility. • Tell the Story with Data: Communicate complex technical concepts and evidence-of-impact to leadership and stakeholders.

🎯 Requirements

• Leadership Experience: 2-4 years managing data scientists or ML engineers; 6-8 years in data science, ML, or applied statistics. • Technical Depth: Expertise in Python, SQL, ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch), and modern cloud data platforms (BigQuery, Spark, etc.). Practical experience with LLM-based applications and agent frameworks (Google ADK, LangChain, etc.). • Applied ML/AI: Hands-on experience delivering personalization, recommender systems, or predictive analytics in production. • Business & Product Sense: Ability to translate ambiguous problems into measurable objectives and practical solutions. • Experimentation Skills: Strong grasp of causal inference, A/B testing, and evidence-based impact measurement. • Excellent Communication: Proven skill in presenting technical and non-technical stories to executives, educators, and cross-functional peers. • Passion for education technology and improving student outcomes.

🏖️ Benefits

• A noble mission that creates meaningful, fulfilling work • A team that cares deeply for customers and for each other • Flexible, remote first work environment • Professional learning and development for all role levels • An awesome and welcoming Toronto HQ • Competitive health benefits that start on day one • A management team focused on performance, growth, engagement and connection • Our winning strategy and market potential • Innovative PTO policy with lots of time and space for self-care • Passionate customers that believe in us—and what we do • A chance to work with new tech like generative AI—and see the customer impact