4+ years as a software engineer, data engineer, or AI/ML practitioner writing technical design documents, data pipeline documentation, or API specifications
Proven track record in developing, evaluating, and validating statistical or machine learning models using appropriate validation approaches and performance metrics
Lead data quality and governance efforts, including schema standardization, lineage tracking, SLA monitoring, and best practices that increase reliability and user trust.
Collaborate with business and technical teams to gather requirements and develop dashboards, reports, and visualizations that support business decision-making.
Supporting marketing initiatives across project and campaign lifecycles, including measurement plans, primary and secondary research and performance reporting