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Minimum qualifications:
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.
Responsibilities
- Master's degree in Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience.
- 3 years of experience with statistical data analysis, data mining, and querying (e.g. SQL).
- 3 years of experience managing analytical projects.
- 5 years of experience in scripting, statistical analysis (e.g., R, Stata, SPSS, SAS), developing and managing metrics, and evaluating programs/products.
- 3 years of experience working in a complex, matrixed organization.
- 3 years of experience preparing and delivering technical presentations to executive leadership.
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.
Responsibilities
- Identify and structure business problems, and 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 executive stakeholders and cross-functional partners, obtain buy-in for potential solutions, and adapt messaging and suggested recommendations.
Key Skills
Ranked by relevance
data analysis
data mining
spss
sas
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- Posted
- Jan 11, 2025
- Type
- Full-time
- Level
- Not Applicable
- Location
- Bengaluru
- Company
Industries
Information Services
Technology
Information
Internet
Categories
Information Technology
Engineering
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