Data Scientist, McAfee

Data Scientist, McAfee

Company McAfee
Job title Data Scientist (Data Engineering & Analysis)
Job location Canada
Type Full Time

Responsibilities:

  • Work with large and diverse datasets to profile, clean, and transform data for analysis.
  • Build and refine data pipelines, ensuring data is structured and ready for analytical use.
  • Use SQL and Python for querying, transforming, and analyzing data from various sources.
  • Perform data profiling to understand data characteristics and uncover patterns and anomalies.
  • Collaborate with stakeholders to understand business metrics and ensure data aligns with key business objectives.
  • Support the development of customer 360° views by integrating data from various sources and creating relevant attributes.
  • Continuously explore and ask questions about the data to uncover new insights and drive better decision-making.
  • Maintain clear documentation of data transformation processes and methodologies.

Requirements & Skills:

  • Proficiency in SQL for complex data queries and data transformations.
  • Strong experience with Python for data manipulation, analysis, and pipeline development.
  • Hands-on experience working with large datasets, data profiling, and transforming raw data into structured formats.
  • Familiarity with Databricks or other big data platforms is a plus.
  • Excellent problem-solving skills with a curiosity-driven approach to exploring data.
  • Ability to think critically and connect data insights to business metrics.
  • Comfortable working with ambiguity and incomplete data, and can proactively seek solutions.
  • Knowledge of data science concepts (e.g., basic statistics, predictive modeling, recommendation systems).
  • Familiarity with cloud-based data infrastructure (e.g., AWS, Azure) is a plus.
  • Understanding of Ad Tech, Martech, and customer analytics, especially in a Customer360 context is a plus.

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