Research Data Scientist, Waze Personalized Experience
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Minimum qualifications:
- 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.
Preferred qualifications:
- 5 years of experience as an applied ML engineer, applying Deep Learning models and ML to solve problems.
- Experience building and managing data processing pipelines to generate features, dashboards, and analyses.
- 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, with the ability to navigate technical issues.
About the job
The Personalized Experience team focuses on providing Waze drivers with a personalized, contextual, and timely routing experience. The team is part of the Waze Data Science group.
Responsibilities
- 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, and help Engineers and QA detect and solve problems.
- Work with GCP, Vertex AI, Python, Scikit-learn, TensorFlow, Airflow/Composer, Python, Looker.
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