Business and Marketing Data Scientist

Key Skills

Java Programming, Design of Experiment, Python Programming, SQL, Machine learning techniques, Google BigQuery, R Programming

Job Description

Minimum qualifications:

• Experience in data science, data extraction, and analytics.
• Experience using Python, R, or SQL in an analytical role.

Preferred qualifications:

• Experience working with BigQuery.
• Experience working with cross-functional teams and stakeholders.
• Experience with experimental design and supervised/unsupervised machine learning approaches for both regression and classification tasks.
• Experience with root cause analysis to ensure that problems are solved at both a tactical and strategic level.

About the job

Whether you're on a consumer product (like Gmail, Search, Maps, Chrome, Android) or a business product (Google Ads, AdSense, Google Marketing Platform, Analytics), you take part in a complete marketing experience as you lead every facet of the product's journey. From determining positioning, naming, competitive analysis, feature prioritization and external communications, you help shape the representation of the product and help it grow a consumer base. This means you work with a cross-functional team across Sales, corporate communications, legal, webmasters, product development, engineering and more. In this role, you'll be involved with product marketing strategy from beginning to end.

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. 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

• Partner with internal teams in advanced analytics work 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.
• Partner with internal and external teams to build, develop and maintain data pipelines for our raw marketing data needs. Whilst ensuring to create “self-serve” capabilities within the team for non-technical users.
• Develop detailed technical end-user documentation and training to ensure all stakeholders align and understand how we build and maintain our data infrastructure.