Senior Business Data Scientist, Ads and Commerce Finance

Google • Mountain View, CA

3d

About The Position

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.

Harness the power of efficiency, scale, and Ads and Commerce product insights to drive exponential impact to our business partners. Serve as the driving force behind smarter decisions and excellence in Ads and Commerce; our unique value proposition lies in our visibility across all Ads products and the vast resources of our business. Committed to pioneering excellence in processes, uncovering valuable insights, and fostering innovation, we are at the forefront of change. We provide indispensable support to our partners as we collectively redefine the landscape we operate in. With a laser focus on strategy, we are the catalysts for positive transformation, ensuring our team's impact resonates across the entire Ads business.The US base salary range for this full-time position is $166,000-$244,000 + 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 [https://careers.google.com/benefits/].

Requirements

• 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 in both SQL and dashboard.

Nice To Haves

• 6 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.

Responsibilities

• Serve as a key contributor to the innovation of our investigative frameworks, acting as a thought leader and first mover on key technological innovation for the Ads and Commerce Finance team.
• Use SQL and create dashboards/tools to automate processes, generate reports, and guide product decisions.
• Develop and maintain scalable financial tools and infrastructure, including advanced datasets and intuitive dashboards, to aid the broader organization in achieving our problem-solving goals.
• Work with Ads and Commerce Finance data science analyst community to integrate requirements into critical datasets and systems.
• Analyze data and incorporate business insights into core reporting and infrastructure in support of our executive reporting agenda.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level