The Search Data Science team's goal is to drive Search product excellence and growth with data insights. We perform analysis to help the Search organization make big investment decisions. We do research on topline and operational metrics for Search products to help them make data-driven decisions. We work closely with product teams end-to-end to help them build products that users love. This includes headroom analysis, product-market fit, experiment analysis, and helping leadership make trade-offs between engaging metrics (e.g., richness of experience versus search latency). We provide insights to drive responsible growth for Search; most importantly, long-term user value is what we care about the most.
As a Data Scientist on the Google Workspace team, you will help improve the user experience and drive growth for a product with over 100 million users. You will join a motivated and dedicated team, where your work will have a significant global impact. You will use user log analysis, experimentation, and data visualization to deliver more accurate information and ensure users can easily meet their needs. Ultimately, you will help make Google Workspace the go-to source for relevant information, globally.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $138000 - $198000 (USD) + 15% bonus target + equity + benefits
Learn more about
benefits at Google.
Responsibilities
- Work closely with cross-functional team members within Google's App Growth organization to define and execute strategies for acquiring and retaining users on both iOS and Android platforms.
- Provide quantitative support, market understanding, and a perspective to our partners throughout the organization.
- Work with large data sets and solve non-routine investigative issues, applying statistical methods to measure quality, improve consumer products, and understand end-user behavior.
- Make compelling business recommendations through effective presentations of findings to multiple levels of stakeholders and solid storytelling with data.
- Interact cross-functionally with a wide variety of teams, working closely with Product Manager and Engineering leads to identify growth and quality opportunities for the product.
Minimum qualifications:
- Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- 5 years of work experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) or 2 years of experience with a Master's degree.
Preferred qualifications:
- Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.