Skills Required: This position requires three (3) years of experience with the following: Developing and optimizing SQL queries to extract and manipulate datasets for business intelligence purposes including querying and joining data across various levels and environments; Creating Python scripts for data analysis, automation, and the development of machine learning models to streamline data processing; Conducting research on transactions using regular expression rules to query data in Snowflake and AWS Athena and evaluating consumer behavior to predict spending at a merchant; Developing sales and operational forecasts using stats and Machine learning models such as regression, time series, XGBoost, or random forest models to enhance sales capabilities and drive business growth; Validating and enhancing robust models to improve strategic planning and risk assessment; Improving, fine-tuning and implementing machine learning algorithms to improve predictive accuracy and automate decision-making; Using customer transaction data to develop personalized targeting strategies, monitoring campaign performance and improve customer engagement; Using PitchPro+ in Microsoft PowerPoint to create executive level presentations; Presenting analysis methodology and results to non-technical stakeholders; Designing and developing interactive Excel and PowerPoint reports with advanced functionalities including lookup, index match, and calculations for non-technical stakeholders. QUALIFICATIONS: Minimum education and experience required: Master's degree in Statistics, Mathematics, Information Science, or Business Analytics or related field of study plus 3 years of experience in the job offered or as Data Scientist Associate, Data Analyst, or a related occupation.