Business and Marketing, Data Scientist

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Apache Hadoop, Scala Programming, Machine learning techniques, Data science techniques, PyTorch, TensorFlow, MapReduce, R Programming

Job Description

Minimum qualifications:

• Bachelor’s degree in a quantitative discipline (e.g., statistics, economics, computer science) or equivalent practical experience.
• 3 years of experience in data science within marketing, product, or sales environments.
• Experience in SQL and statistical programming language (e.g., Python).

Preferred qualifications:

• Experience in creating machine learning models.
• Experience with Google Cloud Platform technologies.
• Experience in querying large complex datasets (e.g., BigQuery).
• Experience in data visualization tools (e.g., Looker) and presentation of data.
• Experience leveraging data insights into storytelling for marketing stakeholders.

About the job

The Google Cloud Platform team helps customers transform and evolve their business through the use of Google’s global network, web-scale data centers and software infrastructure. The Cloud Marketing team is looking for people who can help us write and tell the story of our customer's journey. Understanding the power of our products and how they impact businesses, you will help share how we provide our customers with the best solutions for innovation. If you’re as excited about building what’s next as we are, Google Cloud is the place for you.

In this role, you will drive analyses, experimentation, and machine learning projects in support of marketing at Google Cloud. You will build machine learning (ML) models to support lead and account scoring, and work with a cross-functional group of stakeholders on data science projects to optimize demand funnel outcomes, while leveraging Google’s AI.

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

• Apply analytics techniques to large datasets, including the use of machine learning to solve complex business problems with data.
• Enhance the lead scoring algorithm to drive continuous improvements in lead to opportunity (LTO) conversion.
• Evolve the account scoring approach to drive adoption by marketers that ultimately results in higher business growth.
• Translate business requirements into analysis and ML model needs that can address key questions.
• Build or contribute to existing solutions to facilitate work as necessary (e.g., data pipelines) and develop knowledge of Google data, technology, and metrics.