Business Data Scientist Finance

About The Job

Google's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll-up your sleeves to help drive implementation and check back-in to see the impact of your recommendations.As a YouTube team member, you will have the knowledge of our products (both ad and consumer), but not limited to - YouTube, applying technical skills to drive principled business decisions always grounded in data. These will include ad hoc questions from the business, as well as multi-year projects to evolve Global Business Organization (GBO's) priorities, strategy, and metrics. You will bring all these skills together in the service of supporting key business decisions. You will also be adept at building cross-functional relationships with various stakeholders and using data to influence strategy and outcomes. You will report to the Senior Business Data Scientist Manager leading YouTube+ efforts and be based in San Bruno.The US base salary range for this full-time position is $138,000-$198,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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

• Manage a portfolio of data-driven analysis projects within a technical team to guide and support decision making for YouTube.
• Build relationships with the YouTube team and present the Finance point of view in various decision making forums.
• Develop infrastructure and tooling to understand the value that customers are receiving from our YouTube products (such as DemandGen and Brand) and understand where there’s opportunity to accelerate budgets.
• Build tooling to decompose the drivers of growth (and identify the areas of opportunity) across all regions or channels.
• Develop with the team the next generation of opportunity sizing methods and tooling, navigate partner teams (e.g. Brand Planner) to deliver consistent work to leaders and sellers, which includes contributing to the statistical incrementality workstream with the Economics team co-developing new methodologies.

Key skills/competency

• Data Analysis
• Business Strategy
• Financial Modeling
• Statistical Analysis
• Python
• R
• SQL
• Data Visualization
• Cross-functional Collaboration
• Communication