Business Data Scientist, ML Engineering
Description For Business Data Scientist, ML Engineering
Google is seeking a Business Data Scientist specializing in Machine Learning Engineering to join their team. This role involves working on solving technical issues across multiple business areas such as Ads, YouTube, Search, and Play through business generation. The ideal candidate will have 5 years of industry experience in data science or machine learning engineering, with expertise in frameworks like Tensorflow and Scikit-Learn.
As a Business Data Scientist, you'll collaborate with data scientists, analysts, and PMs to create data solutions that enable finance partners to make informed decisions and manage risks and opportunities. Your responsibilities will include implementing and deploying machine learning pipelines, improving scalability and performance, exploring state-of-the-art technologies, and communicating results to peers and leaders.
The role requires strong programming skills in languages like Python, Java, Scala, or C++, as well as experience with data processing and management using RDBMS and big data stacks. You'll work in an agile software development environment and be expected to advocate for processes, standards, and engineering best practices.
Google offers a diverse and inclusive work environment, committed to equal opportunity and affirmative action. This position is based in Bengaluru, Karnataka, India, and requires English proficiency for effective global collaboration. Join Google's team and contribute to cutting-edge data science and machine learning projects that drive business success across multiple domains.
Responsibilities For Business Data Scientist, ML Engineering
- Work cross-functionally with data scientists, data engineers and program managers to understand, implement, and deploy machine learning pipelines
- Improve machine learning scalability, usability, and performance
- Explore the state-of-the-art technologies to deliver business benefits
- Communicate results to peers and leaders
- Advocate processes, standards, and engineering practice
Requirements For Business Data Scientist, ML Engineering
- 5 years of industry experience in a data scientist or machine learning engineer role
- Experience with machine learning frameworks such as Tensorflow, Scikit-Learn
- Experience in design, implementation, and delivery of scalable build/test/release agile software development cycle
- Experience with data processing and management with Relational Database Management System (RDBMS) such as Postgres, MySQL, and big data stacks such as Apache Spark
- Solid programming skills in at least one of the general programming languages: Python, Java, Scala, C++
