EngineeringManager,DataScience(AdTech)

Fluent is building the next-generation advertising network, Partner Monetize & Advertiser Acquisition. Our vision is to build an ML/AI-first network of advertisers and publishers to achieve a common objective — elevating relevancy in E-commerce for everyday shoppers. As our Engineering Manager, Data Science, you will lead the team responsible for driving business value through machine learning and advanced analytics in the Adtech space. You will own ROAS optimization, audience propensity modeling, and deep learning powered capabilities that differentiate Fluent's advertising products and drive client success. We are seeking expert-level knowledge of sequence modeling (Transformers/Attention) and generative approaches for user behavior, moving beyond legacy logistic regression to implement deep architectures that solve for data sparsity and long-term user value. This role combines hands-on ML expertise with people leadership, requiring you to set technical direction for modeling initiatives while building and developing a high-performing data science team. This role is fully remote, with occasional travel to NYC. ### **What You'll Do** _**Machine Learning & Modeling**_ * Drive the Deep Learning Evolution: Lead the architectural transition from legacy tree-based models (XGBoost) to advanced Neural Network architectures (Deep Learning) for audience propensity, lookalike modeling, and real-time segmentation. * Own Value-Based Bidding (ROAS): Evolve our bidding strategy from simple conversion prediction to sophisticated ROAS-based optimization, developing models that predict user value (LTV) to maximize client returns within dynamic auction environments. * Champion Agentic AI & Automation: Spearhead the exploration and adoption of autonomous agentic workflows to enhance decisioning and operational efficiency, moving beyond static models to self-correcting systems. * Build Production Deep Learning Systems: Oversee the end-to-end engineering of high-scale inference pipelin