Senior Data Scientist

- Lead the end-to-end lifecycle of ML projects - from problem framing, data exploration, feature engineering, and model development to deployment and monitoring.

- Partner with cross-functional leadership on joint strategic initiatives to deliver measurable business impact.

- Identify, address, and resolve architectural and technical hurdles in developing scalable data science solutions.

- Drive architectural decisions regarding pipelines, model registries, or feature store development ensuring scalability, cost efficiency and reliability.

- Raise the technical bar of the team by actively mentoring other data scientists and promoting engineering best practices.

- Stay curious by exploring and implementing cutting-edge data science technologies to foster continuous team innovation.

- Translate complex data insights into practical business strategies and lead technical discussions with senior stakeholders.

- Mentoring junior data scientists and partnering with other DNA leads to nurture a data-driven culture and improve data literacy throughout Arrive.

- Design and prototype Generative AI solutions using LLMs, RAG (Retrieval-Augmented Generation), embeddings, vector databases, prompt engineering, and fine-tuning (LoRA/PEFT).