Business Data Scientist, Ads Marketing Analytics
Marketing
Ad Analytics
Analytics
Artificial Intelligence
Big Data
Business Analytics
Business Intelligence
Data
Data Analysis
Data Analytics
Data Engineer
Data Pipeline
Data Platform
Data Processing
Data Science
Data Visualization
Data Warehouse
Database
Databases
Digital Marketing
Experimentation
Google Adwords
Marketing Analytics
Paid Advertising
Reporting and Analytics
Software Development
SQL
Statistical Modeling
Job Description
Work onsite in Kirkland, WA with a role focused on Ads marketing analytics at Google. You’ll help turn large datasets into actionable measurement, scalable analytics pipelines, and recommendations for leadership, supporting experimentation and incrementality across Google Ads marketing programs.
What you’ll do
- Work with large, complex data sets by formulating problems, specifying requirements, gathering data, processing and analyzing results, and delivering findings through presentations.
- Design and analyze controlled experiments and counterfactual causal inference studies to estimate the incremental impact of Ads marketing programs.
- Build and prototype analysis pipelines iteratively to deliver insights at scale, develop strong knowledge of Google data structures and metrics, and advocate for changes when needed.
- Partner cross-functionally to produce business recommendations such as cost-benefit, forecasting, and experiment analysis, using visual quantitative displays for stakeholders at multiple levels.
- Develop and automate reports, and iteratively build and prototype dashboards that address business priorities and provide scalable visibility.
What you bring
- Master’s degree in a quantitative field (Statistics, Mathematics, Data Science, Bioinformatics, Economics, etc.) or equivalent practical experience.
- 3 years of experience in a data science field.
- Experience with statistical software such as R, Python, or MATLAB and database languages including SQL.
- Experience using analytics to solve product or business problems, including querying databases and performing statistical analysis.
Preferred qualifications
- PhD in Statistics or related quantitative discipline.
- 2 years of experience including statistical data analysis such as generalized linear models, multivariate analysis, clustering or segmentation, and sampling methods.
- Experience in controlled experiment design and causal inference.
- Ability to prioritize requests in an environment with competing stakeholder demands.
- Strong communication and teamwork, including translating analysis insights for non-technical audiences, with willingness to teach and learn new techniques.
Compensation and location
Kirkland, WA (onsite). Salary range: USD 138,000 - 197,000 per year.
US compensation includes 15% bonus target + equity + benefits, and individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Benefits
- Health, dental, vision, life, and disability insurance
- 401(k) with company match
- 20 days of vacation per year, accruing at 6.15 hours per pay period for the first five years of employment
- 40 hours/year sick time (increased to 69 hours/year for Seattle), including 5 discretionary sick days per instance
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- 13 paid holidays per year
Tools: R, Python, MATLAB, SQL