
Data Scientist
Eliq
公司概况
Eliq
瑞典哥德堡
2016
商业模式
能源管理
提供智能能源管理解决方案,帮助用户优化能源使用
软件订阅服务
地点与地理
主要在瑞典及其他北欧国家运营
公司文化
他们的使命是通过智能技术推动可持续能源使用
开放和协作的工作环境,鼓励创新和团队合作
提供持续的培训和职业发展机会
活动与项目
正在开发新的能源管理平台,以提高用户体验
利用人工智能优化能源使用
致力于减少碳足迹,推动可再生能源的使用
职业机会
软件工程师、产品经理、数据分析师等
提供竞争力的薪资、灵活的工作时间和健康保险
联系信息
最后更新于 2025-04-22 | 报告问题
Job Description
Help us drive the energy transition. Join Eliq as a Data Scientist to shape how millions of people use and understand energy.
Do you love working with data that makes a real-world impact? At Eliq, you'll transform raw energy data into smart, meaningful insights that help millions of people better understand and manage their energy use. You’ll join a highly collaborative team where your work shapes innovative features like energy forecasting, peer comparisons, carbon impact calculations, and disaggregation, contributing to a more sustainable future.
What you will do
- Design, implement, test, and deploy robust machine learning models
- Focus on use cases like forecasting, disaggregation, peer comparisons, and carbon tracking
- Write clean, well-documented, production-ready Python code
- Collaborate closely with product managers, data engineers, and developers to scope and deliver ML-powered features
- Monitor model performance and continuously iterate to improve relevance, accuracy, and impact
- Contribute to design and documentation of solutions to ensure knowledge sharing and long-term maintainability
- Provide mentorship, support, and guidance to other team members, sharing best practices and insights
Who we think you are
You’re more than just a data expert, you’re a problem solver who’s passionate about using machine learning to make real-world impact. You write clean code, think critically, and love turning complex challenges into elegant, scalable solutions. You're also someone who values teamwork and enjoys sharing knowledge just as much as developing it.
We think you’ll thrive at Eliq if you:
- Have 5+ years of hands-on experience in data science roles
- Are highly proficient in Python and SQL, with experience in building ML pipelines
- Have successfully designed and deployed production-grade machine learning models
- Know your way around cloud platforms like Azure, AWS, or Databricks
- Can translate business needs into practical, data-driven solutions
- Have experience (or strong interest) in energy data, time-series modeling, or forecasting
- Communicate clearly, collaborate well across teams, and enjoy mentoring others
- You think big, take initiative, and continuously look for ways to simplify complexity while driving innovation in a fast-moving environment.
What we bring to the table
- Flexible working hours and hybrid work from Gothenburg, Sweden or Vilnius, Lithuania
- 25 business days of vacation per year
- Competitive monthly salary: 50,000–60,000 SEK gross, depending on experience
- Annual team events with colleagues from Sweden, the UK, and other offices
- Flat structure with a culture of autonomy, transparency, and purpose
- Work with a small team that punches well above its weight—and creates measurable environmental and social impact
If you read this far, it’s time to apply:
We think you’re excited to work with a team that moves fast, takes risks, and comes to work every day excited about building products that affect the lives of millions of people while helping to accelerate the transition to clean energy. We would love to hear from you!
关于这个角色
2025年7月30日
全职
公司
2025年7月30日
混合
SEK 50k–60k monthly
- 维尔纽斯,立陶宛
- 瑞典哥德堡
5+ years
UTC+01:00