Minimum qualifications:- Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics or a related field and 5 years of progressive post-baccalaureate experience in the job offered or in a Business Data Science-related occupation.
- Alternatively, will accept a Master's degree in Data Science, Statistics, Computer Science, Mathematics or a related field, and 3 years of experience in the job offered or in a Business Data Science-related occupation.
- Position requires 3 years of experience in the following: Framing ambiguous business problems into tractable quantitative solutions. Statistical analysis using Python or R to build statistical and optimization models for solving business problems. Querying databases and extracting large datasets using SQL Presenting technical analysis and statistical concepts to non-technical audiences and senior leadership. Creating data dashboards for exploratory data analysis.
About the jobThe US base salary range for this full-time position is $138,000 - $198,000 15% bonus target equity benefits determined by role, level, and location. Individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Learn more about benefits at Google
Position reports to the Google Atlanta, GA office & may allow for a hybrid schedule as per Google policy.
Responsibilities- Oversee the gathering, extraction, and validation of data from diverse sources to ensure quality and security standards are met;
- Collaborate with stakeholders to define business goals, data requirements, and analytical roadmaps for key projects;
- Formulate and interpret complex data to derive actionable conclusions and guide strategic business decisions;
- Create automated dashboards, tools, and reports to monitor performance, guide product decisions, and streamline processes;
- Develop and implement metrics to track and evaluate the deployment and impact of data-driven solutions across teams; and Contribute production-level solution code and provide technical expertise to identify product gaps and mentor other teams.
