Job ID:
Job date: 2018-05-04
End Date: 2018-07-03
Company : Google Country : United States Role : Research Scientist
Job date: 2018-05-04
End Date: 2018-07-03
Company : Google Country : United States Role : Research Scientist
Job Description:
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. As part of an entrepreneurial team in this rapidly growing business, you will help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. The Cloud Revenue Acceleration team (RevX) focuses on boosting business growth of Google Cloud using quantitative programs. These programs combine data science, workflow solutions, and sales strategy to drive long-term customer growth. As a Data Scientist on the RevX team, you will be solving difficult and non-routine problems by applying analytical methods to achieve results. You will be responsible for processing, analyzing and interpreting large and complex data sets, with emphasis in delivering data-driven insights and solutions. You will collaborate closely with Engineers, Program Managers and other stakeholders to implement model-based solutions, measure the effectiveness of programs and drive customer growth and success. Google Cloud helps millions of employees and organizations empower their employees, serve their customers, and build what’s next for their business — all with technology built in the cloud. Our products are engineered for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. And our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. Responsibilities :
Additional Info:
[Click Here to Access the Original Job Post]
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. As part of an entrepreneurial team in this rapidly growing business, you will help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. The Cloud Revenue Acceleration team (RevX) focuses on boosting business growth of Google Cloud using quantitative programs. These programs combine data science, workflow solutions, and sales strategy to drive long-term customer growth. As a Data Scientist on the RevX team, you will be solving difficult and non-routine problems by applying analytical methods to achieve results. You will be responsible for processing, analyzing and interpreting large and complex data sets, with emphasis in delivering data-driven insights and solutions. You will collaborate closely with Engineers, Program Managers and other stakeholders to implement model-based solutions, measure the effectiveness of programs and drive customer growth and success. Google Cloud helps millions of employees and organizations empower their employees, serve their customers, and build what’s next for their business — all with technology built in the cloud. Our products are engineered for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. And our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. Responsibilities :
- Process large amounts of data from multiple sources and extract relevant insights.
- Research new ways of modeling data for actionable insights and processes improvement.
- Perform statistical analyses and build machine learning solutions to support Google Cloud business needs.
- Collaborate on complex and technical work with effective communication to develop quantitative strategies.
- Design agile and rigorous experiments to measure effectiveness of models, tools and programs.
Qualifications
Minimum qualifications:- BA/BS degree in a quantitative field (e.g. Mathematics, Physics, Statistics, Computer Science, Engineering, Economics, Operations Research, Bioinformatics, Computational Biology, etc.), or equivalent practical experience.
- Experience in analyzing and modeling data sets.
- Experience in applying statistical and machine learning methods to solve real-world problems.
- Experience with statistical software and database languages (e.g. SQL, R, Python, MATLAB, etc.).
- Experience with the Google Cloud Platform.
- Familiarity with Machine Learning libraries (e.g. TensorFlow, Scikit-learn, Keras, Theano, Torch, etc).
- Ability to draw conclusions from data and recommend actions.
- Developed communication skills to translate complex findings in a structured and clear manner to a cross-functional audience.
Requeriments :
Skills :
Areas :
Additional Info:
[Click Here to Access the Original Job Post]