Job Description

Senior Battery Data Scientist – Hybrid

Salary: $150,000 (negotiable)

A fast-growing, venture-backed startup at the forefront of clean energy innovation is seeking a Senior Battery Data Scientist to join their advanced R&D team. This company is revolutionizing solid-state battery technology for next-generation electric vehicles, working with global automotive leaders and gaining national media recognition for its breakthroughs.

The Role:

As a Senior Battery Data Scientist, you will lead the development and deployment of advanced machine learning and statistical models to optimize battery performance and lifespan.

Key Responsibilities:

• Develop and Implement state of the art statistical and machine learning models for cell failure detection
• Development and implementation of early prediction of battery cycle life using Bayesian Optimization and machine learning models
• Lead the analytical direction toward understanding battery performance and degradation
• Research and development of multivariate models for prognostics applications, predictive maintenance
• Support and work with cross functional team to design experimental plans to identify and quantify key model parameters, and improve cell performance by understanding physical meaning correlated with simulation and experiment

Ideal Candidate Will Have:

• MS or PhD degree in Computer Science, Electrical Engineering, Chemical Engineering, Applied Math, Applied Physics or related area
• 2+ year's experience in implementation of statistical/machine learning method
• Strong knowledge in the data-driven predictive model development with application in the energy storage systems
• Preferred to have fundamental knowledge of electrochemistry, experience in lithium metal batteries highly preferred
• Experience with HPC/cloud computing
• Experience in writing efficient codes to analyze large data sets using Python/C/C++
• Experience with AI/ML codes and techniques Tensorflow/PyTorch/Bayesian Optimization

Benefits:

• Medical, dental, and vision coverage
• Generous PTO
• 401(k) with company match
• Education reimbursement
• Disability coverage

Location:

Hybrid – Miami, FL

If this job role interests you, please apply here or reach out to me directly at [email protected]. Applications will be reviewed Friday 13th.

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