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Data Scientist, Product, Googler Technology and Engineering

A global technology company that serves billions of users worldwide with various internet-related services and products.
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
5+ years of experience
AI · Enterprise SaaS

Description For Data Scientist, Product, Googler Technology and Engineering

Google is seeking a Data Scientist to join their Googler Technology and Engineering team, focusing on leveraging data analytics and machine learning to improve enterprise operations. This role combines technical expertise in data science with business impact, requiring both analytical skills and the ability to communicate insights effectively. The position involves working with large-scale data to drive decision-making across Google's operations, developing and implementing machine learning models, and collaborating with cross-functional teams. The ideal candidate will have strong technical skills in Python, R, and SQL, along with experience in statistical analysis and machine learning. This role offers the opportunity to work on impactful projects at one of the world's leading technology companies, helping to improve internal operations and systems that support Google's billions of users. The position requires a mix of technical expertise, business acumen, and leadership skills, making it an excellent opportunity for experienced data scientists looking to make a significant impact at scale. The role is based in Hyderabad, India, and offers the chance to work with cutting-edge technology and collaborate with some of the best minds in the industry.

Last updated 2 days ago

Responsibilities For Data Scientist, Product, Googler Technology and Engineering

  • Provide leadership through proactive and contributions; consistently use insights and analytics to drive decisions and alignment throughout the organization
  • Work in a team covering problem definition, metrics development, data extraction and manipulation, visualization, creation, implementation of problem-solving/statistical models, and presenting to stakeholders
  • Define and report Key Performance Indicators (KPIs) and launch impact as part of regular business reviews
  • Design and develop machine learning models to solve problems within the Enterprise Support space
  • Review analysis and business cases conducted by others to provide feedback

Requirements For Data Scientist, Product, Googler Technology and Engineering

Python
  • Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field
  • 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) (or 2 years work experience with a Master's degree)
  • Master's degree, or equivalent experience in machine learning, statistics, or related field
  • Experience with the full Machine Learning product lifecycle, from ideation to exploration, productionization, and support
  • Experience applying Machine Learning and advanced analytics solutions to enterprise operations teams

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