Minimum qualifications:
- Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, a related quantitative field or equivalent practical experience.
- 10 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 5 years of experience with a Master's degree.
- Experience in machine learning or generative, predictive, or attribution modeling.
- Experience in Intelligent Tutoring Systems (e.g., Bayesian Knowledge Tracing, Item Response Theory).
About the job
In this role, you will work with companies, government agencies, and academic institutions to help individuals develop and grow their technology skills with Google Cloud.Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Want more jobs like this?
Get Data and Analytics jobs delivered to your inbox every week.
The US base salary range for this full-time position is $177,000-$266,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
Responsibilities
- Gather, synthesize, and translate business requirements to design and develop scalable solutions to address the business needs.
- Own and drive complex technical projects from planning stages through to execution following SDLC principles.
- Partner with the Strategy and Operations team to project prioritization and create a roadmap to execute upon.
- Collaborate directly with the business intelligence infrastructure team on leveraging tools, processes, and code reviews to deliver scalable, robust, and quality solutions.