Data Scientist Tech Lead, Google Messages
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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 and working with statistical packages (e.g., R or Python).
- 5 years of experience with data mining, querying, and managing analytical projects.
- 3 years of experience developing and managing metrics or evaluating programs/products.
Preferred qualifications:
- PhD in a quantitative field such as Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience.
- 5 years of experience in scripting or statistical analysis (e.g., R, Stata, SPSS, SAS).
- 3 years of experience preparing and delivering technical presentations to executive leadership.
- Experience in scripting with SQL, extracting sets of data, and design of ETL flows.
- Experience in the areas of spam, abuse detection and measurement, and platform integrity.
- Ability to translate analysis results into business recommendations, with excellent written and verbal communication skills.
About the job
Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.
As a Data Scientist, you will work with product managers, engineers, and others to conduct data-forward analyses, develop metrics, design A/B experiments, build statistical models, and synthesize information and present insights to support strategic decisions as it relates to Communications Apps products. You will provide quantitative support, market knowledge, and a strategic perspective to partners throughout the organization.
Responsibilities
- Own the data science program for Messages Spam and drive relationships between data science and data engineering for the broader organization.
- Lead the design, analysis, and interpretation of product experiments related to Spam and business messaging.
- Provide analytical thought leadership through proactive and strategic contributions (e.g., suggests new analyses, infrastructure or experiments to drive improvements in the business).
- Own outcomes for projects by covering problem definition, metrics development, data extraction and manipulation, visualization, creation, and implementation of analytical/statistical models, and present to stakeholders.
- Develop solutions, lead, and manage problems by framing problems, generating hypotheses, and making recommendations from a perspective that combines both, analytical and product-specific knowledge.
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