Marketing Data Scientist, Global Media Lab

Key Skills

Framework, Java Programming, Large scale data processing, Machine learning techniques, Python Programming, R Programming, SQL, Statistical modeling

Job Description

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 5 years of measurement and business analytics experience.
• Experience with marketing research and statistical modeling (e.g., causal inference, regression, and classification models).
• Experience with conducting quantitative analyses.

Preferred qualifications:

• Experience with experimental design and data-driven measurement solutions.
• Experience with supervised and unsupervised machine learning approaches for both regression and classification tasks.
• Knowledge of Bayesian modeling framework.
• Ability to apply statistical techniques to generate practical solutions for business problems.
• Excellent statistical programming skills (e.g., R, Python, or SQL) with large-scale multidimensional data.

About the job

In this role, you will play a strategic and technical role in driving all things media, marketing, analytics. You will partner 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. In this role, you will maintain a global scope and work with teams operating across regions and marketing entities.

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

• Provide support in media strategy, measurement, and optimization that require expertise in advanced analytics work.
• Partner with internal teams in all areas including experimentation, measurement, modeling, and audience science.
• 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.