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Product Data Scientist, Geo Data Insights Scaling Operations

Google is a leading technology company known for innovative products and services that impact billions of users globally.
Data
Entry-Level Software Engineer
In-Person
5,000+ Employees
1+ year of experience
AI · Enterprise SaaS
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Description For Product Data Scientist, Geo Data Insights Scaling Operations

Google is seeking a Product Data Scientist for their Geo Data Insights Scaling Operations team. This role is part of the Geo organization, which aims to create the most helpful, trusted, and innovative digital representation of the real world. The ideal candidate will have a strong background in statistics, data science, or a related quantitative field, with experience in analysis applications and coding.

Key responsibilities include creating analytical solutions for Maps data quality improvement, performing large-scale data analysis and modeling, working with big data sets, automating data extraction, building dashboards, and communicating insights to drive product and process changes. The role requires proficiency in tools like SQL, R, and Python.

This position offers an opportunity to work on cutting-edge problems related to geospatial data, ML/AI efforts, and the impact of GenAI features on Maps users and contributors. The successful candidate will collaborate with engineering teams across Geo on various projects, including Maps, Earth, Local Search, and more.

Google provides a dynamic work environment where engineers can make a significant impact on users worldwide. The company is committed to diversity, equality, and creating a culture of belonging. This role is perfect for someone passionate about data science and its application in improving real-world digital representations.

Last updated 8 months ago

Responsibilities For Product Data Scientist, Geo Data Insights Scaling Operations

  • Work with leadership teams to create new analytical solutions to identify, target and track investment shifts, mix-rate estimates and other variables around the value of initiatives to improve Maps data quality
  • Perform large-scale data analysis, modeling, time series decomposition, and more to identify opportunities for improvement and measure shifts in Engineering/Operations resource deployments
  • Work with large data sets, automate data extraction, build monitoring/reporting dashboards and use state-of-the-art infrastructure to enable scaled self-service analytics
  • Prioritize and communicate user needs, make recommendations, and drive implementation for product or process changes. Identify and prioritize top challenges and key strategic growth opportunities
  • Perform analysis utilizing relevant tools (e.g., SQL, R, Python). Apply standard/common tools, resources, processes to define problems, for moderately difficult projects, and execute analytical tasks with guidance

Requirements For Product Data Scientist, Geo Data Insights Scaling Operations

Python
  • Bachelor's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience
  • 1 year of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL), or 1 year of work experience with a Master's degree

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