Data Scientist

Imagine what you can do here. Apple is a place where extraordinary people gather to do their lives best work. Together we create products and experiences people once couldn’t have imagined, and now, can’t imagine living without. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do Description APPLE PAYMENTS SERVICES LLC has the following available in Dallas, Texas. APPLE PAYMENTS SERVICES LLC is a subsidiary of Apple Inc. Analyze and interoperate of new sources of data. Identify and investigate activity that could pose a risk of money laundering or other financial crimes in support of all legal and regulatory requirements. Develop and enhance rules and models while creating reports, fulfilling data requests, designing monitoring scenarios, and performing ongoing analysis to support compliance initiatives. Perform ad-hoc and reoccurring statistical analyses using Python. Work with data warehouse architects in SQL and software developers to generate seamless business intelligence solutions for business partners. Responsible for statistical analysis including machine learning and AI techniques to support compliance of financial products with laws and regulations. 20% domestic travel required to other Apple sites. 40 hours/week. Minimum Qualifications • Master’s degree or foreign equivalent in Data Science, Applied Statistics or related field and 2 years of experience in the job offered or related occupation. • Experience and/or education must include: • Utilizing Statistical and Machine Learning methodology to develop robust models. • Utilizing programming languages Python, PySpark, SQL, and R to build and develop data platforms. • Applying model risk management and model audit practices to ensure regulatory compliance. • Utilizing data science to build and derive insights from data, build predictive models, and implement data-driven strategies. • Utilizing project management skills to manage the lifecycle of a project to drive team strategies. • Utilizing Tableau, ArcGIS, Streamlit, and Python to create interactive visualizations of data. Preferred Qualifications • N/A Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . Submit Resume