Data Scientist, Marketing Innovation

As a Data Scientist in Marketing Innovation, you will play a crucial role in defining success metrics for agentic marketing systems and leading indicators. Your primary responsibility will be to design measurement frameworks for always-on marketing systems and collaborate with Product Managers/Engineers to evaluate and monitor launches. You will leverage your expertise to translate signals into actionable decisions on scaling and intervention, ultimately building repeatable decision loops. With over 10 years of experience in a quantitative role, including working with SMBs or self-serve models, you should be well-versed in experimentation, causal inference, and statistics. Proficiency in SQL and Python is essential to handle messy behavioral data and translate results into impactful decisions. Your excellent communication skills will be key in influencing senior leaders and partnering effectively with cross-functional teams.

Key Responsibilities

• Define success metrics for marketing systems
• Design measurement frameworks for always-on marketing systems
• Collaborate with PMs/Engineers to evaluate and monitor launches
• Translate signals into actionable decisions on scaling and intervention
• Build repeatable decision loops from analysis to implement changes

Requirements & Qualifications

• 10+ years in a quantitative role
• Experience with SMB or self-serve models
• Strong grounding in experimentation, causal inference, and statistics
• Fluent in SQL and Python
• Proven track record of translating results into actionable decisions
• Strong business judgment and bias toward action
• Excellent communicator and partner to PMs/Engineers
• Ability to influence senior leaders