Rocket Money is looking to improve marketing efficiency, attribution, and experimentation efforts through advanced modeling and a systematic experimentation program, ultimately strengthening customer relationships and driving financial prosperity for millions.
Requirements
- proficiency in SQL, at least one scripting language, statistical modeling, and engineering scalable experimentation solutions.
- Expert level experiment design and assessment skills.
- direct experience building production grade tooling for operational use by teams of internal decision makers.
- drive marketing and product strategy with experimental and observational data and build the tools that can implement it at the tactical level.
- worked with engineering teams to design optimal feedback signals between applications and ad networks or build experimentation platforms.
- 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.
Responsibilities
- Lead internal marketing effectiveness measurement and estimation approaches.
- 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.
- 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.
- Create scalable approaches and tooling that allow others on the data team to undertake product experimentation without your direct input.
Other
- 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.
- 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.
- Be on the cusp of new developments in marketing data science tech and drive operational changes in marketing that are cutting edge.
- Collaborate closely with Product, Marketing, and Engineering teams to define marketing measurement and optimization strategy and build internal predictive tools.
- You are a team player with a proven ability to collaborate across teams and communicate technical insights effectively, driving alignment with marketing strategy and operations.
- You care about products, not publications. Solving business problems is your primary goal.
- You care just as much about why you're solving a problem as the solution. You always want a deep understanding of context and business impact.
- Excellent writing, presentation, and communication skills. Documenting, soliciting feedback, and securing alignment among collaborators is second nature.
- Experience in fintech, banking, or finance is a plus.
