Senior Applied Data Scientist 17924
Core
Develop predictive models for electric vehicle asset management, usage forecasting, and portfolio risk to support pricing strategies and business decisions.
Role type
Senior Applied Data Scientist
Builds
Production-ready analytical services, APIs, dashboards, and decision-support applications for electric vehicle asset management.
Domain
Electric vehicle asset management, finance, and risk analytics.
Required skills
Python, SQL, predictive modeling, data pipeline integration, cloud deployment, API development, simulation, stakeholder communication
Preferred skills
Experience with incomplete data, engineering mindset, self-leadership
Technologies
Python, SQL, cloud services, APIs
Responsibilities
Develop and maintain predictive models for usage, residual value, and lifecycle forecasting; Build analytics solutions for EV asset management and pricing; Translate operational datasets into actionable insights; Define and document model assumptions and limitations; Develop simulations, dashboards, and decision-support applications; Collaborate with data engineering teams on data pipelines; Productionize models using APIs and monitoring; Support finance, sales, and product discussions with data-driven analysis.
Seniority
Senior, hands-on IC