BMS Data Analysis Engineer

Microvast; Houston (TX); On-site; USD 80,000 - 120,000; Full time

Job summary

Microvast is seeking a skilled BMS Data Analysis Engineer to design and optimize advanced algorithms for battery systems. This role requires a strong analytical background to manage data from testing and provide actionable insights.

Located in Houston, TX, the position demands a Master's or PhD along with experience in data analysis, particularly in the energy storage or electric vehicle sectors. Proficiency in Python and SQL is essential, along with solid problem-solving skills.

Qualifications

• 2–5 years of experience in data analysis, preferably in battery systems, energy storage, or electric vehicles.
• Good understanding of lithium-ion battery behavior, including SoC/SoH calculation and charging/discharging characteristics.
• Hands-on experience with machine learning frameworks is a plus.

Responsibilities

• Collect, clean, and organize data from battery testing, BMS logs, and field operating data.
• Develop and maintain scalable data pipelines for monitoring.
• Conduct root-cause analysis of battery failures and performance issues.

Skills

Data analysis

Python

SQL

Data visualization

Statistical modeling

Problem-solving

Education

Master’s or PhD in Computer Science, Mathematics, Engineering, or a related field

Tools

Power BI

Tableau

NumPy

Pandas

SciPy

scikit-learn

Job description

Microvast is seeking a highly skilled BMS Data Analysis Engineer to join our team. This role involves designing, developing, and optimizing advanced algorithms to solve complex problems in battery system. The ideal candidate should have strong analytical skills, a deep understanding of algorithm design, and experience in implementing scalable solutions.

The position requires a 5‑day office presence and is located at our headquarters in Houston, TX.

Key Responsibilities

• Collect, clean, and organize data from battery testing (cell/module/pack), BMS logs and field operating data.
• Develop and maintain scalable data pipelines and dashboards for continuous monitoring.
• Ensure data quality, traceability, and consistency across various sources.
• Perform statistical analysis and trend evaluation to identify anomalies, degradation patterns, and performance deviations.
• Collaborate with system engineers and test engineers to define data requirements for validation and verification.
• Conduct root‑cause analysis of battery failures, safety events, and performance issues based on battery data.
• Provide data‑driven recommendations to optimize test plans, test coverage, and acceptance criteria.
• Document findings, methodology, and tools in a structured and reproducible way.
• Work with BMS developers to validate algorithms and improve control strategies.
• Support field service, warranty, and quality teams with in‑depth data analysis.
• Participate in continuous improvement initiatives for battery lifecycle management.

Qualifications & Skills

Required

• Master’s or PhD in Computer Science, Mathematics, Engineering, or a related field.
• 2–5 years of experience in data analysis, preferably in battery systems, energy storage, or electric vehicles.
• Strong proficiency in Python, SQL, and common data science libraries (numpy, pandas, scipy, scikit‑learn).
• Hands‑on experience with data visualization tools (e.g., Power BI, Tableau, matplotlib, Plotly).
• Good understanding of lithium‑ion battery behavior, including SoC/SoH calculation, degradation, thermal behavior, and charging/discharging characteristics.
• Proficiency in programming languages such as Python, C++, or similar.
• Solid understanding of mathematical and statistical modeling techniques.
• Experience with large‑scale data processing and optimization techniques.
• Ability to work collaboratively in a team environment and communicate technical concepts effectively.
• Strong problem‑solving skills and the ability to think critically under challenging scenarios.
• Creative thinking skills & Strong analytical skills
• Ability to communicate well with other members of the development team.

Preferred Qualifications

• Hands‑on experience with machine learning frameworks is a plus.
• Familiarity with cloud computing and distributed computing frameworks.

Annual salary + benefits

Pay offered may vary depending on multiple individualized factors, including market location, job‑related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

Applicants for employment at Microvast must be a U.S. citizen or national, U.S. permanent resident (i.e. current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.

Microvast is an Equal Opportunity Employer who is committed to building strength and delivering long‑term sustainability through diversity and inclusion. Respecting all backgrounds, differences and perspectives enables us to improve the lives of our people, customers, suppliers, contractors, and the communities in which we live and work. All qualified applicants will receive consideration for employment without regard to sex, sexual orientation, gender, gender identity and/or expression, race, national origin, ethnicity, age, religion, marital status, physical or mental disability, pregnancy, childbirth, or related medical condition, military or veteran status, or any other characteristic protected under applicable law.