Senior Business and Marketing Data Scientist
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.
Minimum qualifications:
- Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
- 4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
- Experience with Generative AI, Large Language Models (LLMs), or Machine Learning.
Preferred qualifications:
- 7 years of business analytics experience building big data pipelines, schemas and data sets, specifically within a media data context.
- Experience using reporting tools (e.g., Tableau, Looker, Power BI) to build business solutions to improve decision making and execution.
- Experience of project managing and building data pipelines, schemas and data sets working with both internal and external partners.
- Experience working with cross functional teams and stakeholders and experience in root cause analysis to ensure that problems are solved at tactical level.
- Experience with marketing data.