Senior Data Scientist (Growth)

Join our team as a Senior Data Scientist (Growth) and take ownership of our machine-driven decision engines and automated bidding infrastructure. In this high-exposure role, you will have the autonomy to build end-to-end production models and write the core software fueling our growth engine. You will work on the core automated bidding infrastructure, build production machine learning models, manage ad platform integrations, and collaborate cross-functionally with marketing, product, and data science teams. This position offers a direct line to executive leadership and a clear, measurable view of your impact on our top and bottom lines.

Responsibilities

• Ownership of machine-driven decision engines and automated bidding infrastructure for performance marketing.
• Building end-to-end production machine learning models and writing core software to fuel growth.
• Collaborating cross-functionally with marketing, product, and data science teams to optimize advertising spend.

Requirements

• Ability to dig deep into complex systems within a fast-paced, high-leverage entrepreneurial environment without a massive supporting infrastructure
• 2+ years of technical experience, including at least 1 year of corporate/industry experience
• Deep analytical and problem-solving strengths with a demonstrated history of working independently on loosely defined optimization and statistical problems
• 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

Technical proficiency in Python and SQL

• Excellent collaboration and communication skills to work effectively with cross-functional partners and leadership teams
• 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

USD 171,000 - 198,000