Job Description
Vattenfall is one of Europe's largest producers and retailers of electricity and heat. Our main markets are Sweden, Germany, the Netherlands, Denmark, and the UK. The Vattenfall Group has approximately 21 000 employees. We have been electrifying industries, powering homes, and transforming life through innovation for more than 100 years. We now want to make fossil free living possible, and we are driving the transition to a sustainable energy system.
The Business Unit Hydro Power Plants Germany operates and maintains the largest German storage portfolio and is active in all short-term power markets. The fleet of pump storage plants is an integral part of the energy transition, offering both flexibility and reliability to the system.
We, the Data Innovation team, develop and operate our own Databricks centered platform to provide actionable insights, aiming to transform our portfolio and support fossil freedom. By leveraging data, we identify opportunities to enhance efficiency, reduce emissions, and align strategies with organizational goals. Through continuous learning and new analytical techniques, we drive innovation, ensuring informed decision-making and tangible results.
As a Senior Data Scientist, you will utilize a blend of mathematics, statistics, computer science and domain knowledge to address various challenges. You will craft data-driven solutions that not only resolve issues but also unlock new avenues of value, contributing to continuous business improvement and innovation.
Your tasks and responsibilities:
- Explore data to identify patterns and business opportunities.
- Perform statistical analyses to derive business insights.
- Design and conduct experiments for data-driven decisions.
- Develop advanced algorithms for pattern recognition and predictive models.
- Automate and optimize decision-making processes with statistical modeling and ML pipelines.
- Using state-of-the-art ML tools for forecasting, anomaly detection, data integrity monitoring and explainable AI.
- Validate models through rigorous testing.
- Enhance data quality with automated cleaning strategies and identify data sources for deeper analysis.
- Communicate analytical results to stakeholders.
- Stay updated on data science and ML developments, e.g. by attending conferences.
You like to make a difference. You think that complex challenges are the perfect target for your creativity. You have a strong drive to ask questions. You think that the status quo is optional. You thrive working in a responsible role and being held accountable for the results. You embrace helping others in the team and contribute to a greater goal.
Your Skills:
- Ph.D. or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a similarly quantitative field.
- Knowledge of statistics, numerical mathematics, advanced calculus.
- Proven expertise in academic research methods.
- Extensive knowledge and experience in programming languages such as Python and Spark for advanced analytics.
- Advanced expertise in machine learning and AI frameworks for developing predictive models.
- In-depth knowledge of data preprocessing, feature engineering, and ML model evaluation.
- Proficient in using Pandas and NumPy for local transformations, pySpark for all transformation steps, and SQL for views, dashboards, and ad-hoc analysis.
- Appropriate use of object-oriented programming and inheritance, especially in Python, with a strong commitment to and experience with best practices and linting.
- Domain knowledge in energy markets and asset optimization for creating new value sources or improving existing business processes.
- Collaboration with cross-functional teams using Git in a DevOps environment. At least 2 years of experience working collaboratively on software projects.
- Experience working in an agile environment using the Scrum framework, along with a sense of responsibility and self-organization.
- Commitment to continuous learning and staying updated on the latest advancements in data science and machine learning.
We strongly encourage you to apply even if you only fulfill 70% of the criteria. We are looking for inspiring colleagues that share our vision and appreciate a trust-based work environment. Please be honest about your skillset. Learning will be an integral part of the role so don't be afraid to be transparent about things you can improve on.
Additional Information
Location:
flexible (Berlin, Hamburg or Hohenwarte)
competitive remuneration, a challenging and international work environment, and the possibility to contribute to real change. We offer attractive employment conditions including 37h/week, 30 days of vacation, state-of-the-art office buildings, up to 20 days of working from abroad, generous home-office policies and a company pension scheme. Employer subsidized public transport, JobBike and a budget for fitness and health.
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