Research Data Scientist II, Waze

• Feature engineering, model evaluation and error analysis, data processing and pipelines, model tuning, monitoring and dashboards.
• Work with product managers, software developers and quality analysts to define requirements, formulate success metrics and lead experimentation.
• Use data to help products to shape the future of Waze and drive innovation. Provide insights on user behavior and help engineers and quality analysts detect and solve complex problems.
• Utilize Google Cloud Platform (GCP), Vertex AI, Python, Scikit-learn, TensorFlow, Airflow/Composer, Python and Looker tools.

Minimum qualifications:

• Master's degree in Statistics, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
• 2 years of experience using data engineering and machine learning to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis or a PhD degree.

Preferred qualifications:

• 3 years as an applied ML engineer applying advanced deep learning models and classic machine learning to solve real-world problems in scale.
• Experience with relevant libraries and frameworks (e.g., TensorFlow, Scikit-learn, PyTorch, etc.).
• Experience in building and managing large-scale data processing pipelines to generate features and feed advanced dashboards and analyses.
• Experience in Cloud Computing and ML Operations.
• Ability to think critically and creatively to navigate complex technical hurdles.
• Ability to convey complex information clearly and concisely, both verbally and in writing, with a focus on providing key implications and actionable insights and recommendations.

• Master's degree in Statistics, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
• 2 years of experience using data engineering and machine learning to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis or a PhD degree.