Data Science Manager

You will apply your battle-tested experience; deep technical knowledge of software and systems, including machine learning and AI technologies; and leadership skills to unblock and guide our ML/AI team members to design and build scalable, performant, maintainable, and testable models and pipelines in various domains using industry best practices which are aligned in close collaboration with the ML team in the US, highlighting cross-functional collaboration.

Responsibilities:

Lead, mentor and guide data scientists and machine learning and AI engineers to build solutions adhering to industry best practices and deliver scalable solutions, including model architecture and algorithm selection.

Translate business questions into a data science framework; develop data analysis and data models for complex ad challenges with fast turnaround.

Drive innovation and apply data science and statistical analysis in a variety of areas to enhance every aspect of advertising serving, including inventory forecasting, ad experience, ad pacing, pricing, targeting, advertising creation and enhancement, and efficient ad delivery.

Define and evaluate key metrics in various product areas.

Develop standard operating procedures for human-driven evaluations or labelling.

Deliver data insights and provide data-driven recommendations to cross-team stakeholders.

Design and analyse A/B tests for machine learning algorithm iterations.

Establish strong partnerships with stakeholders, including product managers, engineers and programme managers, in a collaborative environment.

Mentor team members and support their technical growth.

Requirements:

Minimum and Preferred. Inclusive of licences/certs (including functional experience as well as behavioural attributes and/or leadership capabilities).

MS or PhD (preferred) in computer science, statistics or equivalent experience.

At least 8 years of relevant industry experience in data science and 2 years in managing data scientists at leading internet or creative technology companies

Experience creating ML datasets and rigorous dataset labelling or evaluation processes for models.

Strong interest in learning about generative mixed media, generative video, and diffusion-based technology.

Solid knowledge of data science and statistics. Strong communication skills and business acumen.

Experience designing and building machine learning models.

Passionate about understanding the ad business, applying data science to relevant business scenarios, and seeking innovation opportunities to enhance business effectiveness.

Experienced building data-driven services and applications for production.

A proven track record of thriving in a fast-paced, data-driven, and collaborative work environment is required.

Preferred Qualifications:

Experience in digital video advertising or digital marketing domain

Experience in production-grade development, rapid prototyping, or generative AI-related research using LLMs, generative imagery or video, or agentic flows. Otherwise a strong interest to learn

Experience with Airflow, data warehouses, Databricks or SageMaker.