Act as a technical lead on projects aiming to improve performance of core pricing models and deliver results; Work end-to-end from data exploration, creating data pipeline, generating insights/features, building ML models to deploying them; Define and maintain science and engineering best practices in the form of processes; Lead code reviews to identify issues, root causes and solutions; Work with product and data science management to develop key results for given product objectives; Work with other technical product owners, lead data scientists and data science managers to develop technical solutions
Requirements:
Advanced degree (Ph.D. or Master's) in a quantitative field such as Computer Science, Statistics, Mathematics, or related discipline; 8+ years of experience in a data science role, with a proven track record of developing and deploying predictive models; Strong expertise in neural networks and deep learning techniques, with hands-on experience in their application to real-world problems; Proficient in Python for data analysis, machine learning, and model deployment; Cloud background, with experience in GCP (Google Cloud Platform) being a plus
Text:
Principal AI Data Scientist Act as a technical lead on projects aiming to improve performance of core pricing models and deliver results; Work end-to-end from data exploration, creating data pipeline, generating insights/features, building ML models to deploying them; Define and maintain science and engineering best practices in the form of processes; Lead code reviews to identify issues, root causes and solutions; Work with product and data science management to develop key results for given product objectives; Work with other technical product owners, lead data scientists and data science managers to develop technical solutions Advanced degree (Ph.D. or Master's) in a quantitative field such as Computer Science, Statistics, Mathematics, or related discipline; 8+ years of experience in a data science role, with a proven track record of developing and deploying predictive models; Strong expertise in neural networks and deep learning techniques, with hands-on experience in their application to real-world problems; Proficient in Python for data analysis, machine learning, and model deployment; Cloud background, with experience in GCP (Google Cloud Platform) being a plus
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