Business Data Scientist, Google Customer Solutions Ads Finance
Job Description
Google is seeking a Business Data Scientist to join their Google Customer Solutions Ads Finance team. This role is part of Google's BizOps team, where members tackle complex business challenges hand-picked by the leadership team. The position requires deep immersion in data collection, analysis, and developing synthesized recommendations for senior executives.
As a Business Data Scientist, you'll play a crucial role in shaping business incentives and futures through data-driven decision making. The role involves sophisticated time series analysis, examination of business drivers, and building foundational infrastructure for business analytics and research. You'll work with both technical and business teams to influence program design and integrate data solutions into critical systems.
The ideal candidate should have strong quantitative skills with a Master's degree in a relevant field and significant experience in analytics, coding, and statistical analysis. You'll need to demonstrate expertise in SQL and Python/R, along with the ability to translate complex technical concepts for various stakeholders. The role offers an opportunity to directly impact business outcomes through data science applications while working with cutting-edge analytics tools and methodologies.
Google offers a collaborative environment where you'll work alongside talented professionals while enjoying the benefits of working for a global technology leader. The position is based in Bengaluru, India, and requires strong communication skills and the ability to navigate ambiguous business challenges with data-driven solutions.
Responsibilities For Business Data Scientist, Google Customer Solutions Ads Finance
- Incorporate business insights into incentives models, develop frameworks, driver models and conduct analysis
- Develop statistical hypotheses and build predictive models
- Build and work with complex datasets effectively. Create and maintain solutions using SQL, Python or R
- Work with business teams to influence program design and explain goal setting and investigative methodologies
- Work with technical teams to integrate goals and other data sets into critical systems like Connect Sales
Requirements For Business Data Scientist, Google Customer Solutions Ads Finance
- 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, coding (e.g., Python, R, SQL), querying databases or statistical analysis
- Experience with modeling and analysis, and understanding of application of statistics and data science
- Experience in SQL, and familiarity with Python or R
- Ability to translate complexity and explain analysis and methodologies to both engineering and business stakeholders
- Ability to grasp business concepts, apply business insights to decision frameworks and model development
- Excellent partnering skills, and ability to navigate ambiguity
Related Jobs
