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Data Scientist, Product, Google Ads Billing

Data Scientist, Product, Google Ads Billing

2 Hours ago • 3-5 Years • Data Analyst

About the job

3 skills required for this role

Test your skills to join the top 1% applicants for this job

python

sql

matlab

Job Description

This Data Scientist role at Google Ads Billing focuses on providing quantitative support and strategic insights to partners. Responsibilities include performing technical analyses of unstructured data (e.g., logs) to assess the success of billing initiatives, designing and evaluating experiments to understand the impact of product changes on advertiser experience, investigating fundamental business and product strategy questions, and driving strategic analysis and reporting for business health metrics (retention, cost savings, performance). The ideal candidate will have strong statistical skills, experience with various data tools (SQL, R, Python), and a proven ability to communicate complex data insights effectively to both technical and non-technical audiences. The role involves working with large datasets, developing innovative solutions, and collaborating closely with engineering and product management teams.

Must have:

Master's degree in quantitative field
3+ years experience with statistical packages (R, SAS, etc.)
Experience with SQL and data analysis
Strong communication skills
Experience with experimental design

Good to have:

5+ years of experience in data analysis and coding (Python, R, SQL)
Experience with multiple datasets/data warehouses
Experience in A/B and multivariate testing
Experience in incremental analysis

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Minimum qualifications:

Master's degree in Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience
3 years of experience working with statistical packages (e.g., R, SAS, Stata, MATLAB, etc.).
Experience in articulating product questions, pulling data from datasets (e.g., SQL), and using statistics.

Preferred qualifications:

5 years of experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (e.g., Python, R, SQL).
Experience working with multiple datasets/data warehouses, with the ability to pull from data sets using tools and coding.
Experience in experimental design (e.g., A/B, multivariate) and incremental analysis.

About the job

Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.

Responsibilities

Perform technical analyses with unstructured data (e.g., logs) to assess success of Billing initiatives in driving better user billing workflows.
Design and evaluate experiments to help the team understand how product changes affect advertiser experience. Identify methodologies for the team to identify directional impact.
Investigate fundamental business and product strategy questions. Deliver deep insights on specific topics and areas to provoke new feature/product ideas, or new interventions to drive improved advertiser policy and billing experiences.
Drive strategic analysis and reporting for business health metrics, focusing on retention, cost savings and performance.

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About The Company

Google

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A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.