Battery Data Engineer - Remote ML & SoC/SoH Modeling

Plainsvc; Tulsa (OK); On-site; USD 80,000 - 110,000; Full time

Job summary

Plainsvc is seeking a Data Engineer to build and maintain data infrastructure for battery testing and production data. You will analyze battery test and operational data, working with R&D, manufacturing, and quality teams to improve battery optimization, processes, and performance.

You will design data pipelines, preprocess large datasets, develop ML models for SoC/SoH prediction, and implement dashboards to monitor health and quality.

Qualifications

• Bachelor’s or Master’s degree in Data Science, Computer Science, Electrical/Chemical/Materials Engineering, Physics, or related field.
• Proficiency in Python and SQL.
• Experience with machine learning and statistical modeling (regression, time series, anomaly detection).
• Experience handling experimental/test/multivariate data, including cleaning and preprocessing.
• Ability to quickly learn battery systems: cell/module/pack architectures, test protocols, degradation mechanisms.
• Strong communication skills to translate technical results into actionable insights.

Responsibilities

• Design, build, and maintain data pipelines and data stores (test data, manufacturing data, sensor data).
• Clean, preprocess, and validate large datasets from battery tests and field usage.
• Develop ML and statistical models to predict SoC, SoH, degradation, and thermal behavior.
• Perform exploratory data analysis to identify patterns and anomalies in battery performance.
• Collaborate with battery engineers and manufacturing staff to define data requirements and experiments.
• Implement monitoring tools, dashboards, and visualizations to track battery health and production quality.
• Establish guidelines for data collection, versioning, quality assurance, and metadata management.
• Optimize data flows for computational efficiency and scalability, including high-frequency sensor data.
• Integrate battery system simulations with physics-based models for predictive analysis.

Skills

Python

SQL

Data pipelines

Machine learning

Time series analysis

Data visualization

Education

Bachelor’s or Master’s degree in Data Science/CS/Engineering/Physics

Tools

AWS

Azure

GCP

Job description

Plainsvc is seeking a Data Engineer to build and maintain data infrastructure for battery testing and production data. You will analyze battery test and operational data, working with R&D, manufacturing, and quality teams to improve battery optimization, processes, and performance.

You will design data pipelines, preprocess large datasets, develop ML models for SoC/SoH prediction, and implement dashboards to monitor health and quality.