Build data/model pipelines to automate recurring data pull and modeling processes.
Use ML techniques to build propensity models for email targeting
Collaborate with marketers to develop hypotheses and conduct experiments to optimize marketing communications.
Track and measure performance of email campaigns to quantify business impact
Communicate findings clearly to technical and non-technical audiences.
Leverage Tableau and Keynote to visualize insights and deliver results in business presentations and dashboards.
Hands on professional experience building propensity, uplift, and other machine learning models
Relevant background in Analytics and Data Science.
Outstanding verbal and written communication skills.
Strong technical skills in SQL and Python.
Experience with Tableau to deliver actionable insights.
Prior professional experience in financial products and services, marketing, advertising, or customer analytics
Experience with GenAI to scale analyses and shorter lead times
Fluency with SQL queries in large and complex fragmented datasets and relational databases.
Expertise in causal inference modeling and advanced statistical/ econometrics models, including regression and time series modeling.
Degree in Analytics, Data Science, Marketing or similar
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.