Job Overview
Job TitleBusiness and Marketing Data Scientist
Job TypeFull Time
Offered Salary$239,000
LocationNew York, NY
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Job Description
About The Job
The US base salary range for this full-time position is $169,550 - $239,000 + 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 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. Position reports to the Google New York, New York office and may allow for a hybrid schedule per Google policy. The Global Business Organization (GBO) is the engine that powers Google’s full ecosystem of products and services to help customers and partners succeed and grow. GBO includes the commercial arms of Ads sellers, business development teams, and customer services and support, as well as overlay programs that enable coordinated engagement with Google's most complex and important customers and partners.Responsibilities
- Collaborate with stakeholders to translate business goals into tractable analytical questions, defining requirements and roadmaps.
- Lead the gathering, extraction, and validation of data from diverse sources, ensuring quality, security, and confidentiality.
- Formulate and interpret complex datasets to generate actionable conclusions and provide expert guidance on analytical challenges.
- Develop key performance metrics and create automated dashboards and tools to monitor solutions and guide product decisions.
- Drive product strategy by identifying gaps through data analysis, helping teams prioritize work, and influencing business decisions.
- Implement and scale solutions by writing production-level code, creating reusable documentation, and driving adoption of recommendations.
Key skills/competency
- Business Data Science
- Data Extraction
- Data Manipulation
- Data Cleaning
- SQL
- Python
- R
- Statistical Analysis
- Algorithm Implementation
- Leadership Presentation
How to Get Hired at Google
- Tailor your resume: Highlight SQL, Python/R, and data analysis experience.
- Showcase problem-solving: Detail how you framed ambiguous business problems quantitatively.
- Quantify achievements: Use data to demonstrate impact in previous roles.
- Prepare for technical interviews: Brush up on SQL, Python/R, and statistics.
- Research Google's culture: Understand their commitment to data-driven decisions.
Frequently Asked Questions
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