Google Customer Solutions (GCS) Data Science is harnessing the power of machine learning and artificial intelligence to build solutions that enable Small and Medium Businesses Ads Sales teams to grow smarter and faster
Requirements
- 3 years of experience coding with one or more programming languages (e.g., Python, Java, C/C++)
- 3 years of experience designing data pipelines (ETL) and model data, for synch and asynch system integration and implementation
- 3 years of experience analyzing data, database query (e.g., SQL), and creating dashboards/reports
- Experience working in a data science environment, creating feature stores and supporting feature engineering and model automation needs
- Experience working with cloud platforms, big data tools and distributed computing
- Experience with creation and usage of graph and other non-relational databases
- Ability to analyze data sets and convert them into information that drives business decisions
Responsibilities
- Build data pipelines, reports, best practices and frameworks that enable program managers, analysts and other stakeholders across the organization
- Recognize and adopt best practices in developing pipelines, investigative insights including data integrity, test design, analysis, validation and documentation
- Design and develop scalable and actionable solutions (e.g., dashboards, automated collateral, web applications) that tell a story and provide insights to help our advertisers grow
- Work closely with various stakeholders to understand feature/tooling gaps and innovate on behalf of our customers
- Build data pipelines and tools that enable data scientists, Machine Learning Operations engineers, and analysts
- Create automated data extracts and production ready Machine Learning feeds that provide scaled insights for both the data science team and their users
- Use an investigative, data-driven approach to drive a deep understanding of our fast changing business
Other
- Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience
- Master’s degree in Engineering or Computer Science or related field, or equivalent practical experience
- Ability to easily break down ambiguous problems and propose impactful data modeling designs
- Must be willing to work in one of the following locations: New York, NY, USA; Mountain View, CA, USA; San Francisco, CA, USA
- Must be authorized to work in the United States
