Role Overview:
As a Data Scientist at McAfee, you will work closely with our data engineering and analytics teams to profile, transform, interpret data, and build a 360° view of our customers. Your primary focus will be to dive deep into datasets, understand how they relate to business goals, and shape data to drive insights and business metrics. You will use languages like SQL, Python to extract, manipulate, and analyze data, and contribute to developing robust customer 360 attributes.
In this role, you would focus on hands-on data profiling, transformations, and analysis. We are looking for a strong sense of curiosity, problem-solving ability, and a knack for working through data challenges.
Location: This is a Hybrid position in Canada. Candidates who live within commutable distance of Waterloo or Toronto are preferred. You will be required to be onsite from time to time as determined by the needs of the business.
About the role:
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Work with large and diverse datasets to profile, clean, and transform data for analysis.
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Build and refine data pipelines, ensuring data is structured and ready for analytical use.
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Use SQL and Python for querying, transforming, and analyzing data from various sources.
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Perform data profiling to understand data characteristics and uncover patterns and anomalies.
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Collaborate with stakeholders to understand business metrics and ensure data aligns with key business objectives.
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Support the development of customer 360° views by integrating data from various sources and creating relevant attributes.
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Continuously explore and ask questions about the data to uncover new insights and drive better decision-making.
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Maintain clear documentation of data transformation processes and methodologies.
About You:
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Proficiency in SQL for complex data queries and data transformations.
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Strong experience with Python for data manipulation, analysis, and pipeline development.
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Hands-on experience working with large datasets, data profiling, and transforming raw data into structured formats.
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Familiarity with Databricks or other big data platforms is a plus.
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Excellent problem-solving skills with a curiosity-driven approach to exploring data.
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Ability to think critically and connect data insights to business metrics.
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Comfortable working with ambiguity and incomplete data, and can proactively seek solutions.
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Knowledge of data science concepts (e.g., basic statistics, predictive modeling, recommendation systems).
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Familiarity with cloud-based data infrastructure (e.g., AWS, Azure) is a plus.
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Understanding of Ad Tech, Martech and customer analytics, especially in a Customer360 context is a plus.
#LI-Remote
Company Overview
McAfee is a leader in personal security for consumers. Focused on protecting people, not just devices, McAfee consumer solutions adapt to users’ needs in an always online world, empowering them to live securely through integrated, intuitive solutions that protects their families and communities with the right security at the right moment.
Company Benefits and Perks:
We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.
- Bonus Program
- Pension and Retirement Plans
- Medical, Dental and Vision Coverage
- Paid Time Off
- Paid Parental Leave
- Support for Community Involvement
We're serious about our commitment to diversity which is why 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.
Top Skills
What We Do
McAfee is a global organization with a 30-year history and a brand known the world over for innovation, collaboration and trust. McAfee’s historical accomplishments are founded upon decades of threat and vulnerability research, product innovation, practical application and a brand which individuals, organizations and governments have come to trust.
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