Manager Data Science - AI & ML Products

Must live in NY, SF, LA - in office 2-3 days a weekNO SPONSORSHIPA leading media technology platform modernizing the advertising ecosystem is seeking a hands‑on Data Scientist to manage a team that builds and optimizes machine learning and LLM‑powered features. You will work closely with Product, Engineering, and Infrastructure teams to design models, solve complex business problems, and deliver customer‑facing AI capabilities. This is a technical, impact‑driven role — management experience is not required.Responsibilities:Modeling & AI DevelopmentBuild, refine, and evaluate predictive models, recommendation systems, and LLM‑based solutions.Design algorithms that power customer‑facing features and unlock new product opportunities.Assess when ML, LLMs, or simpler analytical approaches are the best fit for a given problem.Product & Cross‑Functional CollaborationPartner with Product to define business needs, scope projects, and shape AI‑powered features.Work closely with Engineering and Infrastructure to align on roadmaps and ensure scalable delivery.Translate complex technical concepts into clear insights for non‑technical stakeholders.Project ExecutionLead multiple data science initiatives simultaneously, ensuring timely, high‑quality output.Establish lightweight processes for experimentation, iteration, and deployment.Evaluate existing models and determine whether to iterate, rebuild, or pursue new approaches.Qualifications:EducationMaster’s degree in a quantitative field (CS, Math, Engineering, Physics, etc.) or equivalent experience.Experience6–8 years of experience in Data Science, ML Engineering, or applied ML roles in small to midsize company.Experience in AdTech, media analytics, or performance optimization is a strong plus.Technical SkillsHands‑on experience with machine learning, predictive modeling, embeddings, LLMs, or recommender systems.Strong proficiency in Python, SQL, Git/GitHub, and cloud compute environments (AWS, Databricks).Familiarity with multiple modeling approaches (regression, probabilistic models, tree‑based models, neural networks, clustering, optimization, LLMs).Solid grounding in statistics, probability, and experimental design.About YouYou’re a technically strong, product‑minded Data Scientist who enjoys building models that directly power user‑facing features. You thrive in collaborative environments, communicate clearly, and can navigate ambiguity while delivering practical, high‑impact solutions.Reach out to ilana@analyticrecruiting.com with questions