Hiring: Sr. Staff Data Scientist - QB Platform Marketing and Media Company: Intuit Location: Mountain View, CA Job Posted Time: 2026-09-10 12:53:12 Target Skills & Keywords : ETL, Python, SQL About the job Experience: •8+ years in data science or analytics, including significant depth in marketing, growth, or go-to-market measurement, with a track record of driving strategy and impact across multiple initiatives or business units. Required Skills: •Operationalize and execute marketing measurement through data instrumentation, reporting, marketing measurement models, experimentation, and other causal measurement techniques, powered by agentic systems •Synthesize business performance narratives for paid media, leveraging the full complement of marketing measurement tools to clearly articulate the unified understanding of performance drivers and headwinds against growth targets. •Identify opportunities through insightful analysis and operationalize motions to win against them •Unpack media channel contribution and drive continuous x-channel optimization to improve customer growth and marketing ROI •Own the data architecture and systems that power clean views on marketing performance; build and enhance with new data sources and technology integrations. •Build a durable understanding of our target audiences and the path to grow them via data-backed hypotheses and measurement Qualifications: •Proven ability to direct growth roadmaps and influence strategy with data-backed hypotheses and measurement initiatives •Expertise in core marketing measurement techniques include advanced marketing models, experimentation, synthetic control, and channel attribution. •Demonstrated capacity to partner with XFN leaders and advocate for DS projects that require downstream dependencies, own program prioritization and execution of a broad portfolio of DS responsibilities •Deep strategic and business management thinking with domain knowledge on core finance, product marketing, and corporate strategy concepts •Exceptional tops-down executive communication: proven ability to construct a data narrative in dynamic situations with Director and VP-level leaders •Advanced SQL and Python, hands-on instrumentation and pipeline/ETL construction, and comfort working directly in large, multi-source enterprise data •BS or MS in Statistics, Mathematics, Economics, Econometrics, Operations Research, Computer Science, Engineering, Business or a related quantitative field, or equivalent work experience. Advanced degree preferred. Compensation: •$210,500 - $284,500 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!