Senior Data Scientist - Marketing

Summary

Join Mercury as a Marketing Data Scientist and partner with senior marketing leaders to acquire, engage, and convert customers globally. You will develop various skills as a full-stack Data Scientist, working on end-to-end projects and building deep domain expertise. Set the direction for marketing measurement strategy, ensuring alignment with Mercury’s broader goals. Collaborate with stakeholders to identify impactful business questions, conduct analysis, and communicate findings. Collaborate with other Data Scientists and Data Engineers to build and improve marketing measurement capabilities. Develop privacy-resilient measurement strategies and apply marketing measurement capabilities such as A/B testing and causal inference. Build and deploy machine learning models, and influence cross-functional teams to implement data-based recommendations.

Requirements

• Have 5+ years of experience working with marketing teams across full funnel measurement from brand awareness and content marketing to product adoption and customer retention
• Have expertise in marketing measurement strategies including brand lift studies, geo-experiments, survey-based measurement, cross-channel attribution, causal impact analysis, and experimentation design to identify growth opportunities
• Have fluency in SQL and other statistical programming languages (e.g. Python, R, etc.)
• Have experience with marketing analytics tools such as Google Analytics, Amplitude, social listening platforms, email/CRM analytics (e.g., Salesforce, HubSpot), and customer data platforms
• Have experience crafting data pipelines and dashboards, and understand different database structures
• Be super organized and communicative. You will need to prioritize and manage projects to maximize impact, supporting multiple stakeholders with varying quantitative skill levels

Responsibilities

• Collaborate with Marketing stakeholders and other cross-functional partners to identify impactful business questions, conduct deep-dive analysis, and communicate findings and actionable recommendations to audiences at all levels to inform data-driven decisions
• Collaborate with other Data Scientists and Data Engineers to build and improve different marketing measurement capabilities
• Develop privacy-resilient measurement strategies using techniques like synthetic control methods and incrementality testing to maintain attribution quality as the industry shifts away from third-party cookies and device identifiers
• Develop and apply marketing measurement capabilities such as A/B Testing, Causal Inference, Marketing Mix Modeling (MMM), and Multi-touch Attribution (MTA) to evaluate the performance of our marketing effort
• Build and deploy machine learning and statistical models such as Customer Lifetime Value, Lead Scoring, Segmentation, and time-series forecasting end to end
• Influence and partner with engineering, design, and business teams to implement data-based recommendations that will improve entrepreneurs’ lives and generate revenue for Mercury

Benefits

• Base salary
• Equity (stock options)