Senior Business and Marketing Data Scientist

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 with statistical programming in experimental design and data validation
• Experience managing end-to-end brand measurement frameworks, including brand lift studies, Marketing Mix Modeling (MMM), or Multi-Touch Attribution (MTA)

Nice to haves:

• 8 years of experience delivering marketing analytics, marketing mix modeling, geo experiments, meta analysis, audience segmentation and propensity modeling
• Experience working in root cause analysis to ensure that problems are solved at both a tactical and strategic level
• Experiences with experimental design and supervised/unsupervised machine learning approaches for both regression and classification tasks
• Understanding of Bayesian approaches and modeling frameworks and applied knowledge of R or Python for statistical analysis and SQL including end-to-end automation of analytics pipelines and workflows
• Ability to generate practical solutions for marketing analytics problems and use results to drive business change

What you'll be doing:

• Provide support in media strategy, measurement and optimization that require expertise in advanced analytics work, with special focus on marketing analytics methods and data science
• Partner with internal teams in advanced analytics work including experimentation, measurement and modeling. Identify patterns and behaviors that are effective predictors of performance and critical drivers for a successful media plan
• Deliver customer-centric, data-driven approach, based on a people-based marketing strategy to build, segment, and test audiences for best business results
• Partner with internal teams to scope, build and deliver strategic initiatives driving all things marketing data, with a strong focus on digital marketing data pipelines
• Develop evaluation frameworks for large-scale models, new metrics, and investigate anomalies. Frame and solve ambiguous problems by scoping technical priorities and innovating on statistical methods

Perks and Benefits:

• Google's leadership team hand-picks thorny business challenges
• You fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations
• 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