- Perform advanced analytics to generate actionable insights
- Partner with stakeholders to translate business needs into data-driven solutions
- Analyze large, complex datasets to identify trends, patterns, and opportunities
- Develop, test, and deploy statistical and machine learning models
- Communicate findings through data visualization and storytelling
- Partner with cross-functional teams to define requirements and deliver data-driven solutions
- Perform data preparation, cleansing, and feature engineering
- Write, maintain, and deploy code to support analytics and modeling solutions
Requirements
- Bachelor’s degree in a quantitative field (e.g., Data Science, Computer Science, Mathematics, Engineering, or related)
- Knowledge of statistical methods, data analysis, and modeling techniques
- Experience working with data in academic or professional settings
- Experience with Python, SAS, and SQL (preferred)
- Experience working with Snowflake or similar cloud data platforms (preferred)
- Strong data manipulation, querying, and analysis skills (preferred)
- Familiarity with machine learning techniques and model development (preferred)
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