Senior Data Scientist
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Job Summary
To support a growing portfolio of client projects, the full-time Senior Data Scientist will design and build machine learning models, manage end-to-end data science workflows, and work remotely with clients to translate business problems into actionable insights.
Key responsibilities
- Define data requirements and build data pipelines to transform raw loyalty program data into structured datasets for analysis
- Design, build, and evaluate predictive models while making informed decisions on feature engineering and methodologies
- Synthesize insights from modeling results and communicate findings to non-technical clients to facilitate business decision-making
Required qualifications
- At least 5 years of professional experience in a data science, data engineering, or analytically focused role
- Bachelor's or master's degree in math, economics, statistics, engineering, computer science, or a related quantitative field
- Hands-on experience with Python and/or PySpark for cleaning and manipulating large datasets
- Strong expertise in SQL and the ability to build production-quality analytical workflows
- Familiarity with predictive modeling techniques and the ability to connect technical work to business goals
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