Data Science Engineer

To support innovative marketing intelligence initiatives, the temporary remote Data Science Engineer will design, build, and productionize machine learning and Generative AI components, optimizing campaign performance and influencing strategic marketing decisions for a leading technology company. Key responsibilities Design and productionize machine learning and Generative AI components for media planning and campaign estimation Develop forecasting models and budget-allocation recommendations based on marketing performance analysis Manage the full model lifecycle independently, including feature engineering, model validation, and deployment as Python services Required qualifications Proven experience building and deploying ML models for marketing applications, including time-series forecasting and response curve modeling Strong Python skills with experience in libraries such as pandas, NumPy, and scikit-learn Sound understanding of statistics, experimentation, and model validation techniques Hands-on experience with batch ML pipelines in Apache Airflow Good understanding of developing Generative AI components and related evaluation frameworks