Product Data Scientist, Geo Data Insights Scaling Operations

Google is a global technology company that revolutionizes search, develops innovative platforms, and creates solutions used by billions worldwide.
Data
Entry-Level Software Engineer
In-Person
5,000+ Employees
1+ year of experience
Enterprise SaaS

Description For Product Data Scientist, Geo Data Insights Scaling Operations

Google is seeking a Product Data Scientist to join their Geo Data Insights Scaling Operations team. This role is perfect for data-driven professionals who want to make an impact on Google Maps' data quality and operational efficiency. As a Product Data Scientist, you'll work with massive datasets and utilize advanced analytical techniques to drive improvements in Maps data quality.

The position offers an exciting opportunity to work at one of the world's most influential technology companies, serving over a billion users globally. You'll be part of a team that values both technical expertise and strategic thinking, where you'll apply your quantitative skills to solve complex problems and drive data-informed decisions.

In this role, you'll collaborate with leadership teams to develop solutions for tracking investments and measuring operational effectiveness. You'll perform sophisticated analyses using tools like Python, R, and SQL, working with large-scale data sets to extract meaningful insights. The role involves building monitoring dashboards, automating data extraction processes, and implementing state-of-the-art analytics infrastructure.

The ideal candidate should have a strong foundation in statistics, data science, or a related quantitative field, with experience in data analysis and coding. You'll need excellent communication skills to effectively present findings and recommendations to stakeholders across the organization. This position offers the opportunity to work on meaningful projects that directly impact Google's products and services.

Google offers a collaborative environment where you'll work alongside talented engineers and data scientists, with access to cutting-edge technology and resources. The company is committed to diversity, equality, and creating a culture of belonging, making it an ideal workplace for professionals who value inclusion and innovation.

This role is perfect for someone who is passionate about data analysis, eager to work with large-scale systems, and interested in contributing to products that impact billions of users. You'll have the opportunity to grow your career at a company that's at the forefront of technological advancement while working on challenging and meaningful projects that improve Google Maps' data quality and operational efficiency.

Last updated a month ago

Responsibilities For Product Data Scientist, Geo Data Insights Scaling Operations

  • Work with leadership teams to create 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
  • 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
  • Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field (preferred)
  • 3 years of work experience with analysis applications and coding (preferred)

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