Hybrid Data Scientist, Product Analytics & Experimentation

McAfee; Southwestern Ontario; Hybrid; CAD 85,000 - 110,000; Full time

Job summary

A leading personal security company is looking for a Data Scientist specializing in Product Analytics. This role involves leading advanced analytics and experimentation to improve customer experience and product strategy. Responsibilities include designing A/B tests, developing predictive models, and mentoring junior data scientists. A strong background in Python and SQL is required, along with 5–8 years of experience in data science. This is a hybrid position based in Southwestern Ontario, Canada, allowing for both onsite and remote work.

Benefits

Bonus Program

Pension and Retirement Plans

Medical, Dental and Vision Coverage

Paid Time Off

Paid Parental Leave

Support for Community Involvement

Qualifications

• 5–8 years of industry experience in data science, experimentation, or product analytics.
• Strong experience with A/B testing design, implementation, and interpretation.
• Excellent problem-solving, communication, and collaboration skills.

Responsibilities

• Lead data‑driven experimentation: Design and analyze A/B tests.
• Drive product insights: Conduct deep analyses on user journeys.
• Develop predictive models: Apply machine learning and statistical techniques.

Skills

Data science

Experimentation

Product analytics

Python

SQL

A/B testing

Machine learning

Education

Bachelor’s or master’s degree in a quantitative field

Tools

Power BI

Tableau

Looker

Job description

A leading personal security company is looking for a Data Scientist specializing in Product Analytics. This role involves leading advanced analytics and experimentation to improve customer experience and product strategy. Responsibilities include designing A/B tests, developing predictive models, and mentoring junior data scientists. A strong background in Python and SQL is required, along with 5–8 years of experience in data science. This is a hybrid position based in Southwestern Ontario, Canada, allowing for both onsite and remote work.