Business Data Scientist - Marketing Analytics

Business Data Scientist, Marketing

Minimum qualifications:

• Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
  
• 3 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.
  

Preferred qualifications:

• Experience delivering meta-analysis, fully automated analytics pipelines or audience segmentation and propensity modeling.
• Understanding of Bayesian approaches and modeling frameworks.
• Ability to generate practical solutions for marketing analytics problems and use results to drive business change in partnership with cross-functional stakeholders.

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.

As a Business Data Scientist in the Marketing team, you will drive key analytical projects that deliver a scaled impact for Google Marketing across media campaigns.

You will partner with cross-functional teams to deliver pieces of project work including supporting the implementation of data science solutions, supporting the automation of data pipelines, running meta-analysis to understand drivers of marketing return on investment and helping your team develop evaluation metrics that provide better signals for the business to optimize towards.

As a Marketing Measurement Specialist you will play a strategic and technical role in driving all things media, data, analytics, and partnering with internal teams to evaluate strategic initiatives. Using first-party and third-party data sources, you will create innovative solutions to demonstrate the effectiveness of Google’s media investment. At Google-scale, this implies working on our industry’s toughest challenges. You will maintain global consistency, while keeping regional focus. This role requires working with teams operating across regions and marketing entities.

Responsibilities

• Partner with internal teams in advanced analytics work including experimentation, measurement and modeling.  
  
• Identify key drivers and correlations to meta-build analysis models that can explain and predict marketing effectiveness.
  
• Develop AI capabilities to identify and classify creative features for responsive ads, ensuring they are effective for diverse languages.
  
• Build data and extraction pipelines to collect and evaluate structured and unstructured data.
  
• 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.

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.

Experience Level

Mid Level