Data Scientist, Growth

THE ROLE

Data Scientist, Growth

We are seeking a Data Scientist, Growth to join our growing team. In this high-exposure role, you will own the machine-driven decision engines and automated bidding infrastructure guiding a massive global performance marketing spend across 40+ business units. You will have the 0-to-1 autonomy to build end-to-end production models and write the core software fueling our growth engine. Blending rigorous applied research with immediate technical execution, this position offers a direct line to executive leadership and a clear, measurable view of your impact on our top and bottom lines.

Responsibilities

• Work on the core automated bidding infrastructure and allocation algorithms to model where the next advertising dollar yields maximum return.
• Build end-to-end production machine learning models from 0 to 1 with immediate, high-visibility impact on the company's top line.
• Design, build, and productionalize autonomous models and production-level data pipelines that automate operational business logic and spend efficiency.
• Manage ad platform integrations, handle bidding automation, and optimize complex marketing tech workflows.
• Work on automated processes for design and creative production
• Function as a deep, independent individual contributor digging deep into complex systems and tackling loosely defined optimization and statistical problems.
• Collaborate cross-functionally with marketing, product, and data science teams while maintaining high-visibility access to executive leadership.

Qualifications

Required

• 2+ years of technical experience, including at least 1 year of corporate/industry experience.
• Technical proficiency in Python and SQL.
• Proven background as a Data Scientist, Machine Learning Engineer, or ML Researcher with hands-on experience independently pushing machine learning models into a live production environment.
• Deep analytical and problem-solving strengths with a demonstrated history of working independently on loosely defined optimization and statistical problems.
• Excellent collaboration and communication skills to work effectively with cross-functional partners and leadership teams.
• Ability to dig deep into complex systems within a fast-paced, high-leverage entrepreneurial environment without a massive supporting infrastructure.

Preferred

• Direct domain experience in ad tech infrastructure, automated campaign management, digital advertising, performance marketing tech, programmatic bidding optimization or automated investment platforms.
• Experience working within a direct-to-consumer, retail, or e-commerce environment, particularly owning data pipelines for real-time bid pricing or user attribution platforms.
• Practical engineering exposure to large language models (such as Claude) and working with vector spaces.