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Business Data Scientist, Google Customer Solutions Ads Finance

Business Data Scientist, Google Customer Solutions Ads Finance

Google Inc.Mountain View, CA, United States
4 days ago
Job type
  • Full-time
Job description

Overview

Business Data Scientist, Google Customer Solutions Ads Finance — Mountain View, CA. Mid level role focusing on driving progress, solving problems, and mentoring junior team members with deeper expertise in the relevant area.

About the job

Google's leadership team hand-picks thorny business challenges, and BizOps team members work in small teams to find solutions. As part of this team you immerse yourself in data collection, draw insights from analysis, and develop compelling, synthesized recommendations. Communicate recommendations to senior-level executives, help drive implementation, and check back to see the impact of your recommendations. You will have an opportunity to directly shape the incentives and future of our business, contribute to multiple programs, develop data science skills, explore time series analysis, examine business drivers, and help build the foundational infrastructure for revenue analytics and research.

Compensation

The US base salary range for this full-time position is $166,000-$244,000 plus bonus, equity, and benefits. Salary ranges are determined by role, level, and location; individual pay is determined by location and other factors. Your recruiter can share more about the specific salary range for your location during the hiring process. Note : compensation details reflect base salary only and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

  • Develop statistical hypotheses and build predictive models.
  • Build and work with complex datasets. Create and maintain analytical solutions using SQL, Python or R.
  • Collaborate with business teams to influence program design and explain goals and investigative methodologies.
  • Translate complex analyses into actionable insights for engineering and business stakeholders.

Qualifications

  • Master\'s degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
  • 4 years of experience using analytics to solve product or business problems, including coding (Python, R, SQL) and querying databases.
  • Preferred qualifications

  • PhD in Economics, Statistics, or a related field
  • 6 years of experience using analytics to solve product or business problems, coding (Python, R, SQL), querying databases or statistical analysis.
  • Google is an equal opportunity and affirmative action employer. We are committed to creating a diverse workforce and providing equal employment opportunities regardless of race, color, religion, gender, sexual orientation, gender identity / expression, national origin, disability, age, or other protected characteristics. See Google's EEO Policy and related resources for details.

    Google is a global company and English proficiency is a requirement for all roles unless stated otherwise in the job posting.

    For recruitment agencies : Google does not accept agency resumes. Do not forward resumes to our jobs alias or to Google employees. Google is not responsible for any fees related to unsolicited resumes.

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