Job Summary: Demonstrated ability to integrate AI-powered solutions into data science workflows, including data preparation, feature engineering, modeling, and reporting Develops and/or uses algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes Perform analyses of structured and unstructured data to solve multiple and/or complex business problems utilizing advanced statistical techniques and mathematical analyses and broad knowledge of the organization and/or industry Collaborate with business partners to understand their problems and goals, develop predictive modeling, statistical analysis, data reports and performance metrics Develops and participates in presentations and consultations to existing and prospective constituents on analytics results and solutions Interacts with internal and external peers and managers to exchange complex information related to areas of specialization Use strong knowledge of algorithms and predictive models to investigate problems, detect patterns and recommend solutions Use strong programming skills to explore, examine and interpret large volumes of data in various forms Extensive experience with SQL, Python, Spark & Cloud computing (AWS, Google Cloud Platform, MS Azure)

Required Qualifications: Bachelor’s degree in mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline Experience in data analytics, BI, data engineering or applied data science Experience with SQL and Python/R.

Preferred Qualifications: Master's or PhD degree in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline Experience in data analytics, BI, data engineering or applied data science Experience with SQL and Python/R