Data Science Developer
Join an autonomous-vehicle validation team developing Python analytics applications, metrics, and AI-enabled tools to evaluate sensing performance and support engineering decisions.
Responsabilidades
- Design, develop, and maintain Python-based analytics applications and internal validation tools.
- Develop metrics, reports, and methodologies for measuring sensing-state performance across software versions.
- Build tools for event investigation, data exploration, visualization, and actionable reporting.
- Develop and evaluate AI-enabled capabilities for analysis, classification, root-cause investigation, and knowledge extraction.
- Define evaluation datasets, quality metrics, and regression tests for AI-assisted analysis tools.
- Collaborate with algorithms, data, and validation teams to deliver reliable, maintainable analytical products.
Requisitos
- Bachelor’s degree in Computer Science, Engineering, or a related field; relevant military or equivalent practical experience may substitute.
- Three to five years of professional Python development experience in analytics, automation, data-intensive applications, or internal tools.
- Hands-on experience with data-processing and visualization libraries such as Pandas, NumPy, Matplotlib, or Plotly.
- Experience analyzing complex datasets and translating findings into practical metrics, tools, and engineering decisions.
- Strong knowledge of data structures, algorithms, software design, debugging, testing, and maintainable code.
- Experience applying machine learning or generative AI in software products, analytical workflows, or developer tools.
- Familiarity with SQL, Linux, and version-control workflows.
Se valora
- Experience with AWS, ETL or data platforms, dashboards, LLM applications, agentic workflows, AI evaluation, or scikit-learn, PyTorch, or TensorFlow.