[Remote] Data Science Manager at Top Hat

Canada

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

EdTech, Higher EducationIndustries

Requirements

2-4 years managing data scientists or ML engineers; 6-8 years in data science, ML, or applied statistics
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.)
Hands-on experience delivering personalization, recommender systems, or predictive analytics in production
Ability to translate ambiguous problems into measurable objectives and practical solutions
Strong grasp of causal inference, A/B testing, and evidence-based impact measurement
Proven skill in presenting technical and non-technical stories to executives, educators, and cross-functional peers
Passion for education technology and improving student outcomes
Nice to Have: Experience with graph databases (e.g., Neo4j) and knowledge graph-driven personalization
Nice to Have: Background in education analytics, psychometrics, or learning science

Responsibilities

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
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 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 the team

Skills

Key technologies and capabilities for this role

Data ScienceMachine LearningAIVertex AIGoogle ADKRecommender SystemsA/B ExperimentationPredictive ModelingGraph AlgorithmsModel GovernanceBias Detection

Questions & Answers

Common questions about this position

Is this Data Science Manager position remote?

Yes, the position is fully remote.

What technical skills are required for the Data Science Manager role?

Required skills include expertise in Python, SQL, ML frameworks like scikit-learn, TensorFlow, and PyTorch, modern cloud data platforms such as BigQuery and Spark, and practical experience with LLM-based applications and agent frameworks like Google ADK and LangChain.

What leadership experience is needed for this role?

Candidates need 2-4 years managing data scientists or ML engineers, plus 6-8 years in data science, ML, or applied statistics.

What is the company culture like for the Data team at Top Hat?

The team culture emphasizes curiosity, rigor, measurable impact, technical excellence, and career development.

What makes a strong candidate for the Data Science Manager position?

Strong candidates have leadership experience managing data scientists, deep technical expertise in Python, SQL, ML frameworks, and AI tools, hands-on applied ML/AI experience, business acumen, experimentation skills, excellent communication, and passion for education tech.

Top Hat

Provides educational tools and resources

About Top Hat

Top Hat provides educational tools and resources aimed at enhancing the learning experience for both educators and students. Its main products include Top Hat Pages, which allows educators to personalize content easily, and interactive response tools that engage students during lessons. Additionally, Top Hat offers a collection of fully editable textbooks, giving educators the flexibility to tailor their teaching materials. Unlike many competitors, Top Hat focuses on creating a user-friendly platform that caters to diverse learning needs across entire campuses, making it suitable for both individual courses and whole institutions. The goal of Top Hat is to empower educators to deliver personalized and equitable learning experiences, ensuring that education is accessible and engaging for all students.

Toronto, CanadaHeadquarters

2009Year Founded

$228.5MTotal Funding

SERIES_ECompany Stage

Consumer Software, EducationIndustries

201-500Employees

Risks

Increased competition may erode Top Hat's market share in EdTech.

Recent layoffs could affect employee morale and service quality.

CEO transition might lead to strategic shifts misaligned with market trends.

Differentiation

Top Hat transforms passive lectures into active learning with interactive tools.

The platform offers customizable, editable textbooks for personalized learning experiences.

Top Hat supports hybrid learning models, catering to both in-person and online environments.

Upsides

AI adoption in education enhances Top Hat's personalized learning capabilities.

Hybrid learning models expand Top Hat's market reach in higher education.

Data-driven decision-making trends increase demand for Top Hat's analytics tools.

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