• Understand business problems and define analytical hypotheses; • Perform in-depth exploratory data analysis (EDA) and generate actionable insights; • Build and validate statistical and machine learning models; • Perform feature engineering, evaluate and improve models; • Integrate solutions with data engineering and technology teams; • Implement and maintain monitoring for models in production; • Document and communicate results to technical and business stakeholders; • Additional responsibilities for Senior: Make independent technical decisions. Lead complex, high-impact end-to-end projects. Mentor and review the work of mid-level and junior colleagues. Communicate with and influence senior management/executive stakeholders.

• Work on building predictive models; • Develop solutions to delight customers and drive the company's results.

• Lead statistically sound analyses to answer high-impact safety and regulatory questions, including how system performance translates to risk • Apply statistical methods to quantify and assess risk using a variety of data sources including large-scale time-series data (e.g., vehicle and sensor data) and structured safety datasets • Bridge safety and engineering teams by translating complex analyses into information engineers can act on • Develop automated, production-ready analysis workflows that support continuous safety monitoring • Select and defend appropriate statistical approaches for sparse, noisy, or rare-event data, applying Bayesian and frequentist methods and leveraging machine learning techniques where appropriate • Communicate statistically defensible findings to technical leaders, safety stakeholders, and executives

• We are hiring a Data Scientist focused on algorithm development and implementation of natural language processing and computer vision models. • These models are applied to tens of millions of social media posts daily! • You will be working with state of the art transformer models, as well as large language models and vision language models, to build sophisticated compound AI systems. • We work with semantic and image similarity search, leveraging vector databases storing hundreds of millions of content embeddings to find relevant data! • You will be expected to work with all of these components, balancing cost and quality to develop the best performing classifiers possible!