Manager Data Science - AdTech

* Must live in NY, SF, LA - in office 2-3 days a week

* NO SPONSORSHIP

* MUST HAVE BUILT RECOMMENDATION SYSTEMS AND BUILT PREDICTIVE MODELS

* Must be currently managing a team

Leading media technology platform dedicated to modernizing the advertising landscape is seeking a Data Science Manager to lead AI Product function. This is a foundational leadership role where you will build and manage a specialized team of data scientists focused on customer-facing features powered by ML and LLMs. While this is a management-first role, you should possess the technical depth to guide modeling strategies and system design.

Key Responsibilities

* Team Leadership: Hire, mentor, and grow a team of data scientists; conduct performance reviews and support career development.

* Product Innovation: Facilitate the design of algorithms and models that drive new business opportunities and enhance existing product features.

* Cross-Functional Collaboration: Partner with Product, Engineering, and Infrastructure to align on roadmaps and accelerate the delivery of AI-powered features.

* Project Oversight: Own DS prioritization, manage resource allocation, and ensure high-quality, timely delivery of ML projects.

* Process Excellence: Develop lightweight, effective processes for fast iteration and scalable AI delivery.

Qualifications

* Education: Master’s degree (or equivalent experience) in a quantitative field (CS, Math, Physics, etc.).

* Experience with LLMs, embeddings, or recommender systems.

* Experience: 2+ years of people management experience plus 6+ years in a Data Science or related technical role.

* Technical Depth: Advanced knowledge of statistics/probability and hands-on experience with SQL, Python, AWS, and modern ML workflows.

* Strategic Mindset: Proven ability to lead through ambiguity and manage complex dependencies across multiple stakeholders.

* Communication: Ability to translate complex technical concepts for non-technical stakeholders.

* Background in AdTech or Media analytics.

Reach out to [email protected] with questions