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Research Data Scientist, Waze Personalized Experience

Google is a global technology company that provides a wide range of internet-related services and products.
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
AI

Job Description

Join Google's Waze Personalized Experience team as a Research Data Scientist where you'll be at the forefront of creating personalized, contextual routing experiences for millions of drivers. As part of the Waze Data Science group, you'll leverage advanced machine learning techniques and big data analytics to enhance user experiences. The role combines technical expertise in ML/AI with practical application, requiring proficiency in Python, cloud computing, and various ML frameworks. You'll collaborate with cross-functional teams to drive product innovation, analyze user behavior, and implement data-driven solutions. The position offers the opportunity to work with cutting-edge technologies like GCP, Vertex AI, and TensorFlow while directly impacting how millions of users navigate their daily journeys. This role is perfect for candidates who combine strong analytical skills with a passion for solving real-world transportation challenges through data science and machine learning.

Last updated 6 days ago

Responsibilities For Research Data Scientist, Waze Personalized Experience

  • Manage feature engineering, model evaluation and error analysis, data processing and pipelines, model tuning, monitoring and dashboards
  • Work with product managers, software developers and QA to define requirements, formulate success metrics, and lead experimentation
  • Use data to help products shape the future of Waze and drive innovation, provide insights on user behavior
  • Work with GCP, Vertex AI, Python, Scikit-learn, TensorFlow, Airflow/Composer, Python, Looker

Requirements For Research Data Scientist, Waze Personalized Experience

Python
TypeScript
  • Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field
  • 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree
  • Experience with Python, and with libraries and frameworks (e.g., TensorFlow, Scikit-learn, PyTorch, etc.)
  • Experience in cloud computing and ML operations
  • Excellent problem solving skills

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