At BETA Technologies, we apply our intellectual curiosity, passion for aviation, and commitment to sustainability toward a shared mission of revolutionizing electric aviation. Regardless of the position one holds, each team member brings their talent and desire to positively impact the environment and lives of others in a refreshing, vibrant, and inclusive culture.
We are seeking an analytics engineer to join the Battery team to support on-aircraft fuel gauging methods, analysis of field data, and creation of tools to improve customer experience. This person will be responsible for technical problem solving, making practical use of data, and working with others to certify aviation battery packs. This position requires a blend of knowledge of data analytics, battery chemistry, and electrical engineering.
As a Battery Analytics Engineer, you will work in a small team environment to design, test, and bring to production new and innovative battery packs, software, and algorithms to advance Beta’s commitments to sustainability, performance, and safety. This position offers the possibility to learn something new every day and help shape the future of aviation.

MINIMUM QUALIFICATIONS:

• Bachelor’s degree in Electrical Engineering, Computer Science, Data Science, Physics, or a related field
• Experience with data analytics, scripting (e.g., Python or MATLAB / Simulink), and visualization tools
• Familiarity with battery modeling, battery management systems, or electrochemical fundamentals
• Ability to synthesize large, complex datasets into actionable engineering insights
• Strong interpersonal and communication skills to collaborate with multidisciplinary teams
• Growth mindset and initiative to own problems, iterate quickly, and deliver practical solutions
• Desire to learn, experiment, and make others around you better

ABOVE AND BEYOND QUALIFICATIONS:

• Contributions to battery analytics in the EV or battery manufacturing industries
• Experience developing fuel gauging algorithms (e.g.,Kalman filtering, SOC/SOH estimation)
• Understanding of lithium-ion battery behavior, degradation mechanisms, and lifecycle modeling
• Prior work with aviation certification standards (e.g., DO-178, DO-160) or work in other safety-critical environments
• Familiarity with time-series data pipelines and cloud-based analytics frameworks
• Demonstrated experience improving customer-facing tools or fleet support systems
• Experience with simulation environments and digital twins for batteries or electric power systems

Please refer the Job description for details