Senior Business Data Scientist, Media Lab Marketing

Minimum qualifications:

• Master's degree in a quantitative discipline such as Maths, Economics, 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, or a relevant PhD degree.
• Experience working with marketing analytics and media data

Preferred qualifications:

• Experience generating practical solutions for marketing analytics problems and use results to drive business change in partnership with cross-functional stakeholders.
• Experience with Bayesian approaches and modeling frameworks.
• Experience delivering analysis, fully automated analytics pipelines or audience segmentation and propensity modeling.
• Experience with experimental design and supervised/unsupervised machine learning approaches for both regression and classification tasks.
• Experience in root cause analysis to ensure that problems are solved at both a tactical and strategic level.
• Applied knowledge of R or Python for statistical analysis and SQL.

About the job

Google's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also 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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $163000 - $237000 (USD) + 15% bonus target + bonus + equity + benefits

Learn more about benefits at Google.Responsibilities

• Provide support in media strategy, measurement and optimization that require expertise in advanced analytics work, with special focus on marketing mix models (MMMs).
• 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.
• 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. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.