Data Scientist, Marketing Automation, Google Ads

Job Description

Note: By applying to this position you will have an opportunity to share your preferred working location for this position from the following: San Francisco, CA, USA; New York, NY, USA

Qualifications

Minimum qualifications:

• Bachelor's degree in Computer Science, a quantitative discipline, or equivalent practical experience.
• 4 years of experience in information retrieval, mining, or machine learning.
• Experience with C++, Python, or Java.
• Experience in SQL, and data processing software (such as Hadoop, Spark, Pig, Hive, Beam, etc.).

Preferred qualifications:

• Master's degree in Computer Science, a quantitative discipline, or equivalent practical experience.
• Ability to work cross functionally with technical and business stakeholders.
• Knowledge of data warehousing concepts, including technical architectures, infrastructure components, ETL, and reporting/analytics tools and environments.
• Strong listening, critical thinking, and problem solving skills.

About the job

As a Quantitative Analyst, you will be responsible for analyzing large data sets and building expert systems that improve our understanding of the Web and improve the performance of our products. This effort includes performing complex statistical analysis on non-routine problems and working with engineers to embed models into production systems. You will manage fast changing business priorities and interface with product managers and engineers.

The Marketing Automation team is a multidisciplinary group of engineers, data scientists, designers, and marketers in Google Ads. We drive customer acquisition, product adoption, business growth, and brand affinity for Google’s advertising business and products.

As a Data Scientist you will evaluate and improve the data sets and pipelines that power our projects. You will bring scientific accuracy and statistical methods to the challenges of data quality, insights, and system performance.

This role is focused on analyzing diversity and inclusion trends in advertising content in order to help foster equitable representation of all audiences. You will be expected to use machine learning and AI tools to help advance projects. You will prototype and build data pipelines iteratively to provide insights at scale.

Know the user. Know the magic. Connect the two. At its core, marketing at Google starts with technology and ends with the user, bringing both together in unconventional ways. Our job is to demonstrate how Google's products solve the world's problems--from the everyday to the epic, from the mundane to the monumental. And we approach marketing in a way that only Google can--changing the game, redefining the medium, making the user the priority, and ultimately, letting the technology speak for itself.

Responsibilities

• Solve difficult, non-routine analysis problems, applying advanced analytical methods and mathematical models as needed.
• Integrate additional data sources into existing data sets and perform impactful calculations.
• Develop and maintain production implementations and use them to analyze large, complex data sets.
• Create track metrics via dashboards describing the quality of data produced by pipelines and identify quality issues, ensure they are visible to the appropriate stakeholders, and drive the resolution process.
• Prioritize requests and work well in an environment with competing demands from multiple stakeholders.

Locations

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 .

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