Staff Data Scientist (Machine Learning)
Description For Staff Data Scientist (Machine Learning)
Jerry.ai is revolutionizing the car ownership experience through their AI-powered super app, serving over 5M customers. As a Staff Data Scientist, you'll report directly to the cofounder/CTO, architecting and deploying advanced ML models with significant real-world applications. The role involves working with LLMs and custom-built components to optimize chatbot & voicebot systems, and predicting user behavior. The company, founded in 2017, has raised over $240M in funding and aims to grow from 5M to 50M customers. You'll join a team of talented professionals from companies like NVIDIA, Tencent, Alibaba, and ByteDance, working in a fast-paced startup environment where innovation and impact are prioritized. The position offers the opportunity to work on complex deep learning models while contributing to the company's mission of simplifying car ownership through AI-driven solutions. Jerry.ai provides a collaborative environment where you can own projects end-to-end and make meaningful contributions to transforming the automotive industry.
Responsibilities For Staff Data Scientist (Machine Learning)
- Develop and architect advanced machine learning models to address critical business challenges and drive company-wide strategic initiatives
- Take ownership of the end-to-end modeling process, from initial ideation to model deployment and maintenance
- Conduct thorough data preparation and analysis to ensure the quality and relevance of input data for modeling tasks
- Collaborate closely with cross-functional teams, including Product and Data Engineering to productize and deploy models into production systems
- Contribute to large-scale company initiatives aimed at solving problems that haven't yet been touched by anyone at Jerry
Requirements For Staff Data Scientist (Machine Learning)
- PhD in Physics or related field
- Deep understanding of machine learning algorithms and techniques, with experience in building and deploying models from scratch
- Strong analytical and problem-solving skills, with the ability to translate complex business requirements into practical modeling solutions
- Passion for real-world application of machine learning, with a desire to make a significant impact on large-scale business initiatives
