Senior Data Scientist, Decisions Job at Truebill (San Francisco, CA)

Job Description

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.

Job Responsibility

Lead internal marketing effectiveness measurement and estimation approaches
Lead projects from start to finish
Design and conduct experiments to estimate the impact of marketing and product strategies
Lead 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
Build, test, and deliver internal facing predictive tools
Effectively design and assess experiments for a variety of user facing experiences
Mentor other members, participate in code reviews, and ensure quality in production systems
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
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
Collaborate closely with Product, Marketing, and Engineering teams to define marketing measurement and optimization strategy
Build the next generation of Rocket Money’s customer lifetime value models
Level up our product experimentation program
Rigorously design experiments to assess the effectiveness of product experiences
Reassess baseline approaches and strategies
Create tooling to enable self-service experimentation by teams of data analysts

Requirements

6+ years of professional experience in data science
Proficiency in SQL
Proficiency in at least one scripting language
Proficiency in statistical modeling
Proficiency in 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
Experience driving marketing and product strategy with experimental and observational data
Experience working with engineering teams to design optimal feedback signals between applications and ad networks or build experimentation platforms
Proven ability to collaborate across teams and communicate technical insights effectively
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