Staff Behavioral Data Scientist, YouTube Marketing

Key Skills

Data science techniques, Python Programming, R Programming, SQL

Job Description

Minimum qualifications:

• Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
• 7 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases, or statistical analysis.
• Experience with panel measurement and survey design.

Preferred qualifications:

• Master’s degree or PhD. in the social sciences (e.g., Economics, Political Science, Sociology, Psychology, Communication), or in a quantitative field (e.g., Statistics, Informatics, Econometrics).
• 9 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases, or statistical analysis.

About the job

Google's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll-up your sleeves to help drive implementation and check back-in to see the impact of your recommendations.

Know the user. Know the magic. Connect the two. At its core, marketing at Google starts with technology and ends with the user, bringing both together in unconventional ways. Our job is to demonstrate how Google's products solve the world's problems from the everyday to the epic, from the mundane to the monumental. We approach marketing in a way that only Google can, changing the game, redefining the medium, making the user the priority, and ultimately, letting the technology speak for itself.

YouTube Marketing Data Science, Infrastructure and Analytics (DSIA) is a data science team that influences and informs YouTube’s Marketing and Products teams. We work on projects that are at the heart of go-to-market (GTM) and brand strategy for YouTube. We empower YouTube Marketing with measurements, data-driven insights, and investment frameworks that optimize marketing efficacy and unlock new strategic growth opportunities with robust data science, analytics, and data engineering solutions.

The US base salary range for this full-time position is $197,000-$291,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Define and own the strategic roadmap for all brand and behavioral measurement initiatives, ensuring alignment with overarching marketing goals. Act as the primary technical leader and thought partner for marketing leadership on these topics.
• Lead the development and implementation of advanced panel and survey-based measurement methodologies to assess brand health, consumer sentiment, and marketing effectiveness.
• Design and execute robust causal inference studies using observational methods (e.g., quasi-experimental designs, synthetic control) when traditional experiments are not feasible, to understand the impact of brand marketing activities.
• Provide technical oversight, guidance, and mentorship to other data scientists and business analysts working on brand and behavioral measurement projects, ensuring methodological and high-quality deliverables.
• Drive analytical efforts to establish and quantify the connection between brand perception/metrics and measurable behavioral outcomes (e.g., engagement, conversion, etc.).