Data Scientist, Growth

About the role

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.

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

• 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.

Pay

All posted ranges are reflective of base salary and may vary depending upon experience level and location. Bonus and equity may also be provided for eligible roles. Pay Range $171,000—$198,000 USD