Business Data Scientist, Ads Marketing Analytics

Work onsite in Kirkland, WA and apply advanced data science to Ads Marketing Analytics at Google. You will help advance marketing science for customers by driving experimentation, measurement, and scalable analytics pipelines that support global marketing programs. Collaboration with marketers, product managers, data scientists, and engineers will be central, with opportunities to translate data-driven findings into recommendations for leadership.

What you’ll do

• Work with large, complex datasets to solve analysis problems using advanced investigative methods, including statistical and machine learning models when needed. Own work from problem formulation and requirements specification through processing, analysis, ongoing deliverables, and presentations.
• Design and analyze controlled experiments and counterfactual causal inference studies to evaluate the incremental impact of Ads marketing programs.
• Build and prototype analysis pipelines iteratively to deliver insights at scale. Develop deep knowledge of Google data structures and metrics, including advocating for changes when required.
• Partner across teams to make business recommendations such as cost-benefit, forecasting, and experiment analysis, using clear presentations and visualizations of quantitative information for stakeholders at multiple levels.
• Develop and automate reports, iteratively build and prototype dashboards, and produce insight delivery aligned with business priorities.

What you’ll need

• 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, and MATLAB, plus database languages such as SQL.
• Experience using analytics to solve product or business problems, including querying databases and conducting statistical analysis.

Preferred qualifications

• PhD in Statistics or a related quantitative discipline.
• 2 years of experience including statistical data analysis such as generalized linear models, multivariate analysis, clustering/segmentation, and sampling methods.
• Experience with controlled experiment design and causal inference methods.
• Ability to prioritize requests and partner effectively in an environment with competing stakeholder demands.
• Strong communication skills to convey analysis insights to non-technical audiences, including the willingness to teach and learn new techniques.
• Excellent communication, teamwork, and problem-solving skills.

Tools you’ll use

R, Python, MATLAB, SQL

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

Compensation: US $138,000 - $197,000 (USD) + 15% bonus target + equity + benefits. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.