Staff Data Scientist, Product, Google Play

Responsibilities

• Identify and structure business problems, communicate challenges and opportunities.
• Act as a thought partner to produce insights and metrics for various technical and business stakeholders.
• Deliver effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information.
• Follow engineering best practices to create scalable data pipelines and models.
• Engage and influence senior stakeholders and cross-functional partners, obtain buy in for potential solutions, adapt messaging and suggested recommendations.

Minimum qualifications:

• Master's degree in Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience.
• 7 years of experience with statistical data analysis, modeling, experimentation, causal inference, data mining, querying, and managing analytical projects with programming in SQL, Python, or R.
• 7 years of experience developing and managing metrics or evaluating programs/products.
• 3 years of experience as a people manager within a technical leadership role.

Preferred qualifications:

• 5 years of experience in scripting or statistical analysis (e.g., R, Stata, SPSS, SAS) in a complex, matrixed organization.
• 3 years of experience preparing and delivering technical presentations to executive leadership.
• 3 years of experience in a technical leadership role.
• 3 years of people management experience (e.g., supervision, or team lead role).