• Develop and implement statistical models and machine learning solutions to solve real-world business problems • Analyze large, messy datasets and apply rigorous data cleaning, feature engineering, and validation techniques • Build predictive and descriptive models to identify trends, patterns, and opportunities • Design and execute experiments (A/B tests, hypothesis testing, model evaluations) • Partner with stakeholders to translate business questions into analytical approaches • Create clear visualizations and narratives that communicate findings to technical and non-technical audiences • Collaborate with data engineers to productionize models and analytics pipelines • Leverage AWS services to build scalable, secure data science solutions