Data Scientist, Media Lab

Minimum qualifications:

• 5 years of experience in measurement and business analytics.
• Experience in SQL or statistical programming languages (e.g., R, Python).
• Bachelor's degree or equivalent practical experience.
• Experience working with multiple stakeholders within a business.

Preferred qualifications:

• Experience conducting quantitative analyses to drive valuable change or optimization in a business context.
• Experience in root cause analysis to solve problems in a tactical and strategic level.
• Experience with experimental design and supervised/unsupervised machine learning approaches for regression and classification tasks.
• Experience working with media data and transforming it into variables/data frames for representation purposes.
• Understanding of Bayesian modeling framework.

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.
As a Data Scientist, you will play a strategic and technical role in driving all things media, marketing, 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 industry challenges. Regardless of geographic location, you will maintain a global scope and require working 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.
The US base salary range for this full-time position is $146,000-$220,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
Responsibilities

• Partner with internal teams in advanced analytics work including experimentation, measurement and modeling.
• Provide support in media strategy, measurement and optimization that require expertise in advanced analytics work, with special focus on Marketing Mix Modeling (MMMs).
• Deliver data-driven approach, based on a people-based marketing strategy to build, segment, and test audiences.
• Identify patterns and behaviors that are effective predictors of performance and critical drivers for a successful media plan.
• Partner with internal teams to scope, build and deliver strategic initiatives driving all things marketing data, with a focus on digital marketing data pipelines.

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 .