Senior Battery Data Scientist Expert (all genders)

PowerCo; Salzgitter; Hybrid; EUR 50.000 - 90.000; Vollzeit

Zusammenfassung

Ein innovatives Unternehmen in der Batteriebranche sucht talentierte Fachkräfte, die leidenschaftlich daran interessiert sind, die nächste Generation von Batterien für die Elektromobilität zu entwickeln. In dieser spannenden Rolle werden Sie die Möglichkeit haben, an der Entwicklung und Implementierung von Machine-Learning-Modellen zu arbeiten, um die Leistung und Lebensdauer von Batterien zu optimieren. Sie werden eng mit interdisziplinären Teams zusammenarbeiten, um strategische Projekte voranzutreiben und komplexe Datenanalysen durchzuführen. Wenn Sie über fundierte Kenntnisse in Elektrochemie und Datenmanagement verfügen und in einem dynamischen Umfeld arbeiten möchten, ist dies die perfekte Gelegenheit für Sie.

Leistungen

Flexible Arbeitszeiten

4-Tage-Woche möglich

30 Tage bezahlter Urlaub

Mobile Arbeitsmöglichkeiten

Umzugshilfe

Qualifikationen

• Mehrere Jahre Erfahrung in der Batteriebranche, insbesondere mit Batteriezellen.
• Abschluss in Informatik, Chemie oder Ingenieurwissenschaften.

Aufgaben

• Koordination und Analyse von Batterieexperimenten und Tests.
• Entwicklung von Algorithmen zur Verbesserung des Batteriedesigns.

Kenntnisse

Maschinenlernen

Datenanalyse

Elektrochemische Systeme

Programmierung in Python

MATLAB

SQL

Datenvisualisierung

Projektmanagement

Ausbildung

Abschluss in Informatik

Abschluss in Chemie

Abschluss in Ingenieurwissenschaften

Tools

TensorFlow

scikit-learn

Hadoop

Spark

PySpark

Databricks

PowerBI

Plotly

Bokeh

Jobbeschreibung

PowerCo SE The mission has started. We proudly announce that in our Battery Valley we are starting our own battery cell production and the ramp up of our worldwide headquarters for global cell manufacturing. The CTO organization takes care of the battery cell development. Our responsibility includes research, predevelopment of materials and components, series development, prototyping, testing and analysis of battery cells.

How you will CELLebrate

• Lead and Innovate: Coordinate, analyze, interpret, and evaluate detailed experiments and battery testing on automotive and laboratory scales to gain electrochemical properties of electrodes and materials. Develop and implement machine learning models to predict battery performance, lifespan, and failure modes.
• Drive the Future: Support the development of the next generation of batteries for e-mobility applications. Analyze large datasets to identify patterns and insights that can improve battery design and manufacturing processes. Create and refine algorithms for data processing, anomaly detection, and optimization of battery cells.
• Collaborate and Excel: Develop, implement, and support strategic projects and partnerships. Manage projects and work closely with interdisciplinary teams, both internally and with external partners.
• Hands-On Management: Take a leading role in developing, coordinating, monitoring, and analyzing battery tests. Manage samples, electrodes, and materials for testing in our state-of-the-art lab. Create and maintain a comprehensive test database. Integrate data from various sources (e.g., lab tests, field data) to create comprehensive models and simulations.
• Innovative Testing: Develop suitable measurement methods for testing battery behavior and validating simulation models. Develop advanced data visualization tools to communicate findings to stakeholders and support decision-making.
• Simulate and Optimize: Simulate the performance and aging of batteries, parameterize and calibrate electrochemical models, and develop new models and methods for detailed descriptions of physical and chemical processes in batteries.
  
  

What you need for our CELLebration

• Industry Experience & Educational Background: Several years of experience in the battery industry, particularly with battery cells. A successfully completed (under-)graduate degree in computer science, mathematics, chemistry, materials science, physics, engineering, or a comparable qualification.
• Passion for Innovation: A keen interest in developing the next generation of batteries. Deep knowledge of electrochemical systems. Understanding of battery technology and electrochemistry to contextualize data insights.
• Technical Proficiency: Expertise in machine learning frameworks (e.g., TensorFlow, scikit-learn) and big data tools (e.g., Hadoop, Spark). Excellent programming skills in MATLAB and Python (numpy, scipy, pandas, etc.) for data processing. Strong background in statistical methods and data analysis techniques.
• Data Management & Visualization: Experience with the organization of data in tables and data structures (e.g., SQL) and basic knowledge of SQL queries. Experience with PySpark and Databricks. Experience with plotting and complex visualizations of data and related frameworks (Plotly, Bokeh). Knowledge in PowerBI is a plus.
• Communication Skills: Ability to translate complex data findings into actionable recommendations for technical and non-technical audiences. Proficient English skills.
  
  

What else can you bring

• Initiative and Adaptability: High degree of initiative and ability to grasp new concepts quickly. Ability to work on several projects and tasks in parallel.
• Analytical Mindset: High analytical competence to solve complex problems.
• Technical Expertise: Knowledge about clean-code principles (e.g., SOLID) and software design.
• Communication and Leadership: Excellent communication, organization, and project management skills. Above-average ability to work in a team.
  
  

What to look forward to

• Flexible working hours from 28 to 40h per week
• Possibility of a 4-day-week (up to 35h per week)
• 30 days paid + 10 days unpaid leave
• Mobile work options
• Relocation support
• More benefits to come