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About the Role
Google's BizOps team tackles complex business challenges by immersing themselves in data collection, deriving insights from analysis, and developing synthesized recommendations. This role involves persuasively communicating recommendations to senior executives, assisting with implementation, and tracking impact. The marketing team at Google focuses on connecting technology with users, demonstrating how Google's products solve problems. As a Business Data Scientist supporting marketing projects, you will lead initiatives, translate business problems into solutions, and guide the team in implementing data science solutions, improving data, and building models for business insights.
Responsibilities
- Provide support in media strategy, measurement and optimization that require expertise in advanced analytics work, with focus on marketing analytics methods and data science.
- Improve our understanding of our customers through user segmentation and cohort exploration.
- Identify and quantify our highest LTV customers, and help us acquire and retain them.
- Design and analyze controlled experiments or counterfactual causal inference studies to examine the incremental impact of our initiatives (marketing and GTM).
- Build the data infrastructure connecting complex first- and third-party user logs to enable your work.
- Build and improve the infrastructure that you will use for modeling and analysis.
- Work with a range of stakeholders ranging from technical to non-technical.
- Synthesize and communicate business insights from advanced techniques to executives in simple language.
Requirements
- 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 relevant PhD degree.
- 4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
- Experience managing end-to-end brand measurement frameworks, including brand lift studies, Marketing Mix Modeling (MMM), or Multi-Touch Attribution (MTA).
- Experience with LTV modeling and user segmentation analyses.
- Experience with querying and manipulating large data sets, particularly in SQL.
- Experience with root cause analysis to ensure that problems are solved at both tactical and strategic levels.
Skills
- Python
- R
- SQL
- Marketing Mix Modeling (MMM)
- Multi-Touch Attribution (MTA)
- LTV modeling
- User segmentation
- Root cause analysis
- Data science
- Advanced analytics
- Statistical analysis
- Machine learning
Experience Level
- 3 years
- 4 years
Education Level
- Master's degree
- PhD degree
Salary/Compensations
- US: $138000 - $197000 (USD) + 15% bonus target + equity + benefits
Benefits
- 15% bonus target
- equity
- benefits
About the Company
- Google's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions.
- 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.
- And 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.