Join our dynamic team to tackle complex business challenges by leveraging data. You will immerse yourself in data collection, derive insights from analysis, and develop compelling, synthesized recommendations. This role involves communicating recommendations to senior executives, assisting with implementation, and tracking impact.

As a Data Scientist within the Marketing team, you will spearhead key measurement and analytics initiatives that drive scaled impact for Google Marketing's media campaigns. You'll contribute to project execution, including implementing data science solutions, enhancing data pipelines, managing global projects, and developing evaluation metrics that provide critical business insights.

Your responsibilities will include defining project milestones, guiding agencies and vendors, delegating tasks, prioritizing efforts, and directing teams to ensure project completion. You will play a strategic and technical role in all aspects of media, marketing, and analytics, partnering with internal teams to evaluate strategic initiatives. Utilizing both first-party and third-party data, you'll develop innovative solutions to showcase the effectiveness of Google’s media investments and tackle industry-leading challenges at scale, maintaining global consistency while emphasizing regional focus.

Apply your data analytics expertise to devise solutions for marketing challenges. Uncover opportunities for enhanced measurement and optimization to elevate brand and performance marketing efforts.

Develop comprehensive cross-product measurement and testing plans, defining requirements, reporting structures, key metrics, and benchmarks for major campaigns. Optimize for the incremental impact of marketing investments through initiatives like conversion lift tests, matched market analyses, and brand lift studies.

Collaborate with internal teams on advanced analytics, including experimentation, measurement, and modeling.

Adopt a customer-centric, data-driven approach grounded in people-based marketing strategies to build, segment, and test audiences for optimal business outcomes.

Create evaluation frameworks for large-scale models and new metrics, investigating any anomalies. Skillfully frame and resolve ambiguous problems by defining technical priorities and innovating statistical methodologies.

A Master's degree in a quantitative field such as Statistics, Engineering, or Sciences, or equivalent practical experience, is required. You should possess at least 3 years of experience in utilizing analytics to address product or business challenges, including coding proficiency (e.g., Python, R, SQL), database querying, or statistical analysis. A PhD degree is also considered.

Preferred qualifications include translating business problems into research questions and conveying research findings into actionable media and marketing recommendations. Experience with delivering meta-analysis, fully automated analytics pipelines, audience segmentation, and propensity modeling is beneficial. Research experience in designing, scoping, and managing brand measurement, including panel setup, tracking, media brand lift, agency management, and statistical testing, is also valued.

Demonstrate a proven ability to generate practical solutions for marketing analytics issues and leverage results to drive business change in collaboration with cross-functional stakeholders. Applied knowledge of R or Python for statistical analysis and SQL is expected.