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 selected by the leadership team. The position requires deep immersion in data analysis, insight generation, and development of strategic recommendations.
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 stakeholders, translating complex analyses into actionable insights.
The ideal candidate should have strong quantitative skills with a Master's degree in a relevant field and at least 4 years of experience in analytics and coding. Proficiency in Python, R, and SQL is essential, along with strong statistical modeling capabilities. The role requires excellent communication skills to explain complex methodologies to various stakeholders and the ability to navigate ambiguous business scenarios.
This position offers the opportunity to work with Google's cutting-edge technology and data infrastructure while contributing to significant business decisions. You'll be part of a team that directly influences program design and goal-setting methodologies, working on projects that have substantial impact on Google's business operations.
The role is based in Bengaluru, India, and offers the chance to work with Google's global teams while tackling challenging problems in the intersection of data science, business strategy, and technology. This is an excellent opportunity for someone looking to combine technical expertise with business impact at one of the world's leading technology companies.
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
