Senior Data Scientist - Urban Science

Key Responsibilities

• Design, develop, and deploy end‑to‑end machine learning pipelines to extract value from large automotive datasets.
• Collaborate with cross‑functional teams to translate business problems into analytical solutions.
• Perform advanced statistical analysis, feature engineering, and model validation to ensure robust predictions.
• Leverage AWS services (S3, SageMaker, Redshift) for scalable data storage and model hosting.
• Communicate findings through clear visualizations and executive‑level presentations.

Requirements

• 5+ years of data science experience in a fast‑paced, data‑rich environment.
• Proficiency in Python, SQL, and experience with ML libraries such as scikit‑learn, TensorFlow, or PyTorch.
• Hands‑on experience building and deploying models on AWS.
• Strong analytical mindset with a track record of turning complex data into actionable insights.
• Excellent communication skills and ability to work collaboratively across teams.