Business Data Scientist, Global Ads, Web Business Insights

Minimum qualifications:

• Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
  
• 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.

Preferred qualifications:

• Experience in performance marketing.
• Ability to be comfortable with engineering best practices, including developing Business Requirements Documents (BRDs)/Product Requirements Documents (PRDs)/Design Docs, code reviews, etc.
• Ability to translate ambiguous business needs into clear technical requirements for impactful data products.
• Excellent presentation skills, with the ability to convey complex technical solutions and analysis to senior stakeholders.
• Exceptional problem-solving skills, adept at synthesizing data into actionable insights and communicating them effectively.

Strong project management skills, adept at handling multiple projects concurrently under tight deadlines in a fast-paced environment.

About the job

As a Quantitative Analyst, you will be responsible for analyzing large data sets and building expert systems that improve our understanding of the Web and improve the performance of our products. This effort includes performing complex statistical analysis on non-routine problems and working with engineers to embed models into production systems. You will manage fast changing business priorities and interface with product managers and engineers.

Business Data Scientists within the Marketing Technology and Operations team are responsible for leveraging data to drive strategic decision-making, identify new opportunities, and optimize business processes for Ads Marketing teams. This involves analyzing large datasets to understand user behavior, campaign performance, and product adoption trends. By employing advanced statistical techniques and machine learning algorithms to uncover hidden patterns and relationships in the data, Business Data Scientists will identify opportunities to improve the efficiency and effectiveness of our marketing efforts, ultimately helping advertisers achieve better results.

As a Business Data Scientist, you will join our team and help us better understand user behavior on the web surfaces. In this role, you will use your expertise in data analysis and visualization to uncover actionable insights that will help us improve the website and grow our business. You will be responsible for analyzing data from various sources, developing and implementing statistical models, and communicating your findings to stakeholders across the organization.

Know the user. Know the magic. Connect the two. At its core, marketing at Google starts with technology and ends with the user, bringing both together in unconventional ways. Our job is to demonstrate how Google's products solve the world's problems--from the everyday to the epic, from the mundane to the monumental. And we approach marketing in a way that only Google can--changing the game, redefining the medium, making the user the priority, and ultimately, letting the technology speak for itself.

The US base salary range for this full-time position is $127,000-$187,000 + 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 .

Responsibilities

• Utilize various data sources to understand user journeys, identify pain points, and uncover opportunities for improvement in the website experience.
• Create clear and insightful visualizations of key metrics and trends to communicate findings to stakeholders, including Marketing and Product teams.
• Communicate findings through compelling presentations and visualizations, enabling stakeholders to make informed decisions about website improvements and marketing strategies.
• Collaborate with cross-functional teams to define relevant Key Performance Indicators (KPIs) and establish a robust framework for evaluating website performance.