| 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.
