Google—Marketing Data Scientist

Job description

Description: 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. As a Data Scientist in the Marketing team, you will drive key measurement and analytics programs that deliver a scaled impact for Google Marketing across media campaigns. You will support your team by delivering pieces of project work including supporting the implementation of data science solutions, supporting the improvement of data pipelines, managing APAC’s share of global projects, or helping your team develop evaluation metrics and best practices that provide insights to the business. You will own measurement and define milestones, provide direction for agencies/vendors, delegate, prioritize, plan, and direct a group of people to drive the project to completion. Specifically, you will play a strategic and technical role in driving all things media, marketing, analytics, and partnering with internal teams to evaluate strategic initiatives. Using first-party and third-party data sources, you will create innovative solutions to demonstrate the effectiveness of Google’s media investment. At Google-scale, this implies working on our industry’s toughest challenges. You will maintain global consistency, while keeping regional focus. This role requires working with teams operating across regions and marketing entities. - Use your knowledge of data analytics to develop solutions for marketing challenges, while also uncovering opportunities for measurement and optimization to push brand and performance marketing to the next level. - Build cross-product measurement and testing plans, tracking requirements, reporting, metrics, and benchmarks for our largest campaigns to optimize for the incremental impact of our marketing dollars (e.g., conversion lift tests, matched market analyses, and brand lift studies). - Partner with internal teams in advanced analytics work including experimentation, measurement and modeling. - Deliver customer-centric, data-driven approach, based on a people-based marketing strategy to build, segment, and test audiences for best business results. - Develop evaluation frameworks for large-scale models, new metrics, and investigate anomalies. Frame and solve ambiguous problems by scoping technical priorities and innovating on statistical methods. Requirements: Minimum qualifications: - Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience. - 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree. Preferred qualifications: - Experience translating business problems into research questions and translating research findings and insights into media and marketing recommendations. - Experience delivering meta-analysis, fully automated analytics pipelines or audience segmentation and propensity modeling. - Research experience in designing, scoping, and managing brand measurement including panel setup and tracking, media brand lift measurement, agency management, and statistical testing. - Applied knowledge of R or Python for statistical analysis and SQL. - Proven ability to generate practical solutions for marketing analytics problems and use results to drive business change in partnership with cross-functional stakeholders. - Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience. - 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree. Skills: Google