Data Scientist
Workplace: Stockholm, Sverige
Expires: December 19, 2025
We develop and manufacture turnkey energy storage solutions based on lithium-ion battery technology. We are looking for a Data Scientist to unlock the full potential of our energy storage systems and digital platforms, optimize performance, enable predictive maintenance, and support strategic initiatives.
Main requirements:
- Minimum 3 years experience in data science, applied machine learning, or related field
- Proven ability to build and deploy production-grade machine learning models end-to-end
- Strong understanding of predictive modeling, anomaly detection, optimization, and statistical learning
- Proficiency with modern data science tools such as Python, SQL, Jupyter, and scikit-learn or equivalents
- Familiarity with cloud environments like AWS and version control systems
- Excellent communication skills to engage both technical and non-technical stakeholders
- Self-driven and comfortable working in emerging, cross-functional environments
- Fluent in English, both written and verbal
Responsibilities:
- Develop and deploy predictive models to optimize energy storage system performance and Virtual Power Plant operations
- Design, test, and implement algorithms for early detection of degradation, anomalies, or inefficiencies
- Translate raw data into actionable insights to support product development and operational strategy
- Identify, define, and lead data science use cases in collaboration with cross-functional teams
- Ensure scalable, maintainable, and secure data access leveraging cloud-based tools
- Drive selection and evaluation of methodologies and technologies for machine learning and optimization
- Promote internal awareness and understanding of analytics to foster a data-driven culture
Required hard skills:
- Data science and applied machine learning
- Predictive modeling and anomaly detection
- Algorithm design and implementation
- Python programming
- SQL querying
- Experience with Jupyter notebooks and scikit-learn
- Cloud computing platforms like AWS
- Version control systems (e.g., Git)
Recommended hard skills:
- Knowledge of energy systems, IoT, or industrial optimization
Soft skills:
- Strong communication and storytelling
- Self-driven and confident
- Collaboration and teamwork
- Business impact orientation
Coding languages:
- Python
- SQL
Frameworks:
- scikit-learn
Operating systems:
- Cloud-based environments (e.g., AWS)
Natural languages:
- English (Proficient)
Cultural skills:
- Diverse and inclusive workplace
- Focus on innovation and sustainability
- Emphasis on work-life balance
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