About Google
Learn more about Google. Explore our innovative AI products and services, and how we. Backed by Kleiner Perkins.
About the role
At Google, data drives all our decision-making. As a Data Scientist specialized in machine learning engineering, you will work on solving technical challenges across multiple tax areas.
What they're looking for
- Bachelor's degree in Finance or Tax with an emphasis in Data Science/Information Systems or equivalent practical experience
- 4 years of experience working with data, including SQL, data warehouses and dashboard applications
- Experience with programming languages: SQL, Python, and Java
More about this role
- Work cross-functionally with data scientists, data engineers and program managers to understand, implement and deploy machine learning pipelines.
- Develop and implement automation solutions using scripting languages (e.g. Python) to streamline processes and enhance efficiency, involving extensive API integration and management.
- Lead the development and deployment of full-stack technology solutions, including web applications (e.g., Java backend, TypeScript frontend, gRPC) and internal APIs, ensuring seamless data flow and system interaction.
- Improve machine learning scalability, usability and performance.
- Explore the state-of-the-art technologies and apply them to deliver business benefits.
- Bachelor's degree in Finance or Tax with an emphasis in Data Science/Information Systems or equivalent practical experience.
- 4 years of experience working with data, including SQL, data warehouses and dashboard applications.
- Experience with programming languages: SQL, Python, and Java.
- 5 years of industry experience in a data scientist, machine learning engineer, or software engineering role with a focus on machine learning applications.
- Experience in design, implementation,...
Browse similar: Startup jobs