Data Scientist

Role Overview:

As a Data Scientist, Product Analytics at McAfee, you will lead advanced analytics and experimentation to guide product strategy and improve customer experience. You will own the end-to-end analytics process — from defining metrics and designing experiments to building predictive models — to uncover actionable insights that shape how millions of users interact with McAfee’s security products.

This role requires both strategic thinking and hands-on technical execution, with opportunities to influence product direction, mentor team members, and drive data excellence across the organization.

This is a Hybrid Position located in either Waterloo or Toronto, Canada. We are only considering candidates within a commutable distance to either location. You will be required to be onsite on an as-needed basis; when not working onsite, you will work from your home office.

Job Description

About the Role

• Lead data-driven experimentation: Design, execute, and analyze A/B tests to evaluate product and feature impact on engagement, retention, and customer satisfaction.
• Drive product insights: Conduct deep-dive analyses on user journeys, feature adoption, and product funnels to identify opportunities for growth and optimization.
• Develop predictive models: Apply machine learning and statistical techniques to forecast behavior, personalize user experience, and reduce churn.
• Elevate analytics quality: Partner with engineering and data platform teams to ensure high-quality telemetry data, reliable pipelines, and consistent business definitions.
• Collaborate cross-functionally: Work closely with Product, UX, and Engineering to translate insights into actionable product improvements.
• Mentor and guide junior data scientists and analysts, promoting best practices in experimentation design, causal inference, and data storytelling.
• Communicate insights effectively to product and executive stakeholders through clear, visual narratives that drive decision-making.

About You

• 5–8 years of industry experience in data science, experimentation, or product analytics.
• Proven track record of applying causal inference methods such as difference-in-differences, matching, regression discontinuity, or instrumental variables.
• Strong experience with A/B testing design, implementation, and interpretation.
• Proficient in Python (pandas, scikit-learn, stats models) and SQL; experience with data visualization tools (Power BI, Tableau, or Looker) preferred.
• Solid understanding of product telemetry data and experience analyzing user engagement, adoption, or retention patterns.
• Experience developing and deploying machine learning models in product or business contexts.
• Excellent problem-solving, communication, and collaboration skills — comfortable influencing decisions at all levels.
• Bachelor’s or master’s degree in a quantitative field (Statistics, Computer Science, Engineering, Mathematics, or related) is preferred.

#LI-Hybrid

Accommodations:

McAfee recognizes and supports its obligation to reasonably accommodate applicants and employees with disabilities. We are here to help. Please let us know if you need a reasonable accommodation for any part of the application, interviewing, hiring, or at any other time during the employment process. Please do not include personal medical information in the email.

Diversity is foundational for our business success. We want to be a workplace of choice for all people and we value the unique perspectives offered by a diverse workforce. McAfee does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, citizenship, disability, protected veteran status, age, ancestry, medical condition, genetic information, marital status, pregnancy, or any other legally protected status. This principle applies to all areas of employment: recruitment and hiring, training, performance evaluations, promotions and transfers, compensation and benefits, and social and recreational programs.

McAfee desires to be an employer of choice with an inclusive environment for all individuals. As part of this goal and in compliance with various laws and regulations, McAfee provides reasonable accommodation to applicants and employees. Requests for reasonable accommodation for applicants and employees are evaluated on a case-by-case basis.

Posting Statement:

McAfee prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.