"statistical methods" Jobs
484 open tech roles matching “statistical methods”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, SQL, Machine Learning. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 484 results
Join Komodo Health as a Staff Consultant to lead research engagements and empower healthcare stakeholders with data-driven insights.
Join SpaceX as a Sr. Supplier Development Engineer to drive the development and production of advanced data center solutions.
Join SpaceX as a Sr. Supplier Development Engineer to drive and maintain suppliers for advanced data center solutions.
Join SpaceX as a GNC Engineer to enhance space surveillance and support collision avoidance for the Starlink constellation.
Join Airbnb as a Staff UX Researcher to drive product innovation in payments through mixed-methods research.
Join SpaceX as a Yield Engineer to enhance RF test solutions and drive yield improvements in a fast-paced production environment.
Develop cutting-edge manufacturing processes for next-generation electro-optic devices at SpaceX.
Join SpaceX as a Hardware Reliability Engineer to enhance the reliability of components for national security efforts.
Manage a team of test engineers to develop manufacturing test solutions for high-performance radar systems at Echodyne.
Join Astranis as a Senior Electrical Reliability Engineer to ensure spacecraft electronics meet reliability and availability needs.
Join SpaceX as a Manufacturing Engineer to influence and solve challenges in the production of Raptor machined parts.
Join SpaceX as a Senior Mechanical Engineer to optimize production processes for the Starship program.
Join Echodyne as a Sr Manufacturing Test Development Engineer to design and optimize manufacturing test systems for cutting-edge radar technology.
Join Gusto as a UX Researcher to lead quantitative research that informs product investments and enhances customer understanding.
Lead the safety validation of scenarios for real-world robots at Atoms, focusing on safety-critical domains.