Senior Data Scientist - Energy Storage Innovation

beBeeEnergy; Sevilla; Presencial; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

A leading energy solutions company based in Sevilla is seeking a highly skilled researcher to develop innovative energy storage solutions. The ideal candidate will possess a Master’s degree and expertise in data science, predictive analytics, and modeling. This role offers competitive salary, subsidized catering, and medical insurance, inviting passionate individuals to apply and join a dynamic team.

Servicios

Competitive salary

Subsidized catering

Medical insurance

Opportunities for professional growth

Formación

• Master's degree in relevant field required.
• Experience in data science and predictive analytics.
• Strong proficiency in Python, R, or MATLAB.

Responsabilidades

• Implement statistical analysis and predictive modeling.
• Collaborate with research partners for battery predictive models.
• Work with large-scale experimental datasets.

Conocimientos

Data science

Statistical modeling

Predictive analytics

Python

R

MATLAB

Machine learning

Analytical mindset

Educación

Master's degree in physics, electronics, telecommunications, or related fields

Descripción del empleo

We are seeking a highly skilled and motivated researcher to join our team in developing innovative solutions for energy storage. The successful candidate will have expertise in data science, statistical modeling, and predictive analytics.Implement statistical analysis, predictive modeling, and AI-driven insights to optimize battery performance.Collaborate with research partners to develop predictive models for battery behavior and degradation.Implement machine learning (ML) models and AI-driven algorithms for SOH and SOC estimation and battery health diagnostics.Work with large-scale experimental datasets – perform data processing, cleaning, and ETL (Extract, Transform, Load).Bridge laboratory work with AI-based predictive analytics to improve manufacturing and battery management systems.Battery setup and testing routine.Key Requirements :

Master's degree in physics, electronics, telecommunications, or related fields.Experience in data science, statistical modeling, and predictive analytics.Strong proficiency in Python, R, or MATLAB for data processing, AI, and ML modeling.Knowledge of battery SOH modeling, failure prediction, or degradation analysis is a plus.Strong analytical mindset and ability to work with cross-functional teams.Familiar with statistical methods and experimental design principles.Excellent communication and collaboration skills.What We Offer :

Competitive salary commensurate with experience.Subsidized catering and medical insurance.Opportunities for professional growth and development.Join Our Team :

At our organization, we strive to create an inclusive and dynamic work environment that fosters innovation and collaboration. If you are passionate about energy storage and have the required skills and qualifications, we encourage you to apply for this exciting opportunity.

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