Senior Data Scientist, Growth Marketing

Rocket Money•Washington, DC

2d•$180,000 - $235,000•Onsite

About The Position

Rocket Money is looking for a Senior Data Scientist to drive marketing efficiency, attribution, and experimentation efforts through the use of tools like customer lifetime value modeling, media mix attribution modeling, and causal impact assessments of marketing strategies. This role will also lead product scientific experimentation program efforts, including building tooling and processes for self-service product and CRM experimentation.

Requirements

6+ years of professional experience in data science, with proficiency in SQL, at least one scripting language, statistical modeling, and engineering scalable experimentation solutions.
Direct experience building production grade tooling for operational use by teams of internal decision makers.
Ability to drive marketing and product strategy with experimental and observational data and build the tools that can implement it at the tactical level.
Experience working with engineering teams to design optimal feedback signals between applications and ad networks or build experimentation platforms.
Team player with a proven ability to collaborate across teams and communicate technical insights effectively, driving alignment with marketing strategy and operations.
Focus on solving business problems.
Deep understanding of context and business impact.
Excellent writing, presentation, and communication skills. Documenting, soliciting feedback, and securing alignment among collaborators is second nature.
Deep experience in several of the following in a professional capacity: customer segmentation, customer lifetime value modeling, A/B testing and causal inference, media mix modeling.

Nice To Haves

Experience in fintech, banking, or finance is a plus.

Responsibilities

Build the next generation of Rocket Money’s customer lifetime value models and integrate into the operational decision making and optimization of our marketing portfolio.
Support internal marketing effectiveness measurement and estimation approaches.
Be responsible for leading projects from start to finish — making key decisions on both implementation and scope while balancing technical and business goals and working stakeholders to implement operational change.
Design and conduct experiments to estimate the impact of marketing and product strategies. Create scale by leading a systematic marketing and product experimentation program. Contribute to product experimentation via expert level experimental design, assessment, and collaboration with product managers.
Work with data engineering and analytics teams to build scalable and durable machine learning to data analytics pipelines that enable marketing and product experimentation operations.
Optimize to continuous product feedback loops — you understand that data product development is the practice of a continuous lifecycle of measurement, analysis, modeling, and hypothesis testing. You understand how to build, test, and deliver internal facing predictive tools. You understand how to effectively design and assess experiments for a variety of user facing experiences.
Maintain a high technical bar by mentoring other members, participating in code reviews, and ensuring quality in production systems. Level up others around you via effective technical mentoring.
Work with engineering teams to design and architect predictive feedback mechanisms for digital ad networks and add new features to our in-house experimentation engine.
Be on the cusp of new developments in marketing data science tech and drive operational changes in marketing that are cutting edge.
Create scalable approaches and tooling that allow others on the data team to undertake product experimentation without your direct input.