Business Data Scientist, Android, Platforms And Devices Marketing - New York, Mountain View, Or San Francisco

Business Data Scientist, Android, Platforms and Devices Marketing

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.

The Platforms and Devices (P&D) Marketing analytics team works to deliver insights that drive better decisions. We leverage data analytics to unlock the potential of marketing at Google. The team is looking for a Data Scientist to drive the implementation of data science solutions, supporting the improvement of data pipelines, running geo-experiments, evaluating impact of marketing investments with external partners or helping the team develop evaluation metrics that provide insights to the business. This person will be passionate about marketing, has an innate curiosity about the consumers, and is eager to leverage advanced analytic capabilities to explain the impact from marketing actions.

We are looking for a proactive leader to drive measurement, analysis and testing initiatives across a wide range of activities from brand media investment, partnerships, performance marketing, retail marketing and co-marketing with external partners. In this role, you will manage measurement for Android partner marketing investments. You will leverage your data science skills to design experiments using internal data and while also guiding partners to set up effective experiments and measurement to help us evaluate impact of the marketing strategy.

Responsibilities:

• Own data infrastructure. Manage and evolve the data infrastructure to generate deep user, tactic, and market insights, while scaling best practices across regional teams and the broader product portfolio.
• Drive causal experimentation. Work with external partners to design and consult on rigorous A/B experiments that isolate the causal impact of specific marketing actions.
• Narrate insights using data. Deliver customer-centric, data-driven insights that are grounded in data and clear frameworks, to understand the impact of full-funnel marketing strategies on the business.
• Enable effective decision making. Frame and solve ambiguous problems by scoping technical priorities and using statistical methods.
• Develop evaluation frameworks for making decisions, identify new metrics, and investigate anomalies.
• Innovate measurement. Build relationships with product teams and the broader Data Science community to develop new measurement methodologies, including AI tools to automate data solutions.