Senior Data Scientist - Marketing

Mercury

About The Position

In the 1840s, Charles Babbage and Ada Lovelace worked on an early version of the computer known as the “Analytics Engine”. In the words of computing historian Doron Swade, “What Lovelace saw...was that numbers could represent entities other than quantity” and together they laid the foundation for general-purpose computing. While much has changed since then, the importance of numbers in building great technology remains. We’re looking for Data Scientists who can help us build our analytics engine by making meaning from data and identifying opportunities for improvement. As a Marketing Data Scientist at Mercury, you will partner with senior Marketing leaders and the Performance Marketing team, as well as Brand Marketing, Product Marketing and Lifecycle Marketing to acquire, engage, and convert Mercury customers around the globe. You will develop various skills as a full-stack Data Scientist working on projects end-to-end and build deep domain expertise in the intersection of Data Science and Marketing. You will set the direction for our marketing measurement strategy and ensure it fits within Mercury’s broader growth, product and company goals.

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.