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. In this Senior Business Data Scientist role, you will be one of the key data science leads on the team. Your primary mission will be to help our Global Business Strategy and Operations (GBS&O) partners make the best possible decisions using data. You will own the full data science lifecycle for high-impact, ambiguous business problems, from initial analysis to strategic recommendation.
Requirements
- coding (e.g., Python, R, SQL), querying databases or statistical analysis.
- Experience in designing and implementing causal inference methods.
- coding (e.g., Python, R, SQL), querying databases or statistical analysis.
- applying Causal Inference, predictive modeling, etc.
- own the technical infrastructure and advanced analytical roadmap for systems that measure our customer and sales teams ecosystems.
- use your expert toolkit (SQL, R, and Python) to find creative, scalable solutions and build automated data pipelines, BI infrastructure, and dashboards from the ground up.
Responsibilities
- Lead the data infrastructure and analytics of critical survey programs, from designing data pipelines and tooling to executing advanced statistical analysis and generating strategic insights.
- Own the full data science lifecycle, applying your expertise in causal inference, predictive modeling, and descriptive analytics to build frameworks that solve complex business problems.
- Manage ambiguous problems by diving into complex, messy datasets, then use your expert toolkit (SQL, R, and Python) to find creative, scalable solutions and build automated data pipelines, BI infrastructure, and dashboards from the ground up.
- Act as a data storyteller and strategic partner, translating complex findings into compelling narratives and strategic recommendations that influence and align executive leaders and various teams (Strategy, Product, Engineering).
Other
- 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
- 6 years of experience using analytics to solve product or business problems
- 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.
