Customer Engagement, Staff Data Scientist, Go-To-Market, Metrics

Exl

Mountain View, CA

Full Time

Senior

183k-271k

6 days ago

Job Description

About the Role

In this role, you will help serve Google's worldwide user base of people. You will provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data team member, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with insight from data. You will make critical recommendations for your fellow Googlers in Engineering, Product Management, and User Experience. You relish analyzing the numbers one minute and communicating your findings to key stakeholders the next to influence product direction and quantify impact. As a Data Scientist in the Customer Engagement Data Science team, you will help drive the goal of how Google Ads builds customer success through go-to-market (GTM) metrics and measurement of Ads products.

Key Responsibilities

Align executive cross-functional Ads stakeholders (Sales, Support, Finance, Product) on a cross-organization process and discipline for the quantitative attribution of impact on key product initiatives.
Provide investigative thought leadership to executive leadership through proactive and strategic contributions, consistently use insights and analytics to drive decisions and alignment throughout the organization.
Consult with cross-functional stakeholders to improve experimentation velocity and analysis turnaround time through adoption of self-service tools and improved processes.
Define and report Key Performance Indicators (KPIs) and launch impact as part of regular business reviews with the cross-functional and cross-organizational leadership team.
Translate analysis results into business insights or product improvement opportunities.
Work with Product Management, User Experience, and Engineering to contribute to metric-backed annual and quarterly OKR settings.

Requirements

Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
10 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 8 years work experience with a Master's degree).
Experience in running experimentation-based decision-making processes, both quantitatively (inference, stats, etc.) and organizationally (discipline, alignment, stakeholder management).
Experience with data science for business problem resolution.

Nice to Have

Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
12 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
5 years of experience developing and managing metrics or evaluating programs/products.

Qualifications

Bachelor's degree in a relevant quantitative field.

Benefits & Perks

US base salary range for this full-time position is $183,000-$271,000 + 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.
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.