Senior Data Scientist (f/m/d)

In this position, you will be part of our Chapter Data & A; Hamburg; Remote; EUR 55.000 - 85.000; Vollzeit

Zusammenfassung

A leading company in energy solutions is seeking a data scientist to join the Chapter Data & AI Engineering team. In this role, you will enhance decision-making processes, design predictive models, and ensure delivery of high-quality data solutions for home energy management. The position offers significant flexibility, remote work options, and numerous personal development opportunities.

Leistungen

Work from home or any other place in Germany

30 holidays per year plus Christmas and New Year’s Eve

Support for personal and professional development

Mobility benefits including car and bike leasing

Company pension scheme and insurance packages

Qualifikationen

• Long-term experience in data science or a related field.
• Proven track record of leading successful data-driven projects.

Aufgaben

• Enhance decision-making processes in home energy management systems.
• Design, build, and deploy predictive models and algorithms.
• Oversee data science projects from conception to deployment.

Kenntnisse

Data analysis

Programming in Python

Data manipulation tools (SQL, Pandas)

Machine learning frameworks (Scikit-learn, TensorFlow, PyTorch)

Communication skills

Analytical skills

Ausbildung

Advanced degree (Master's or PhD) in Data Science, Statistics, Computer Science, Mathematics

Jobbeschreibung

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In this position, you will be part of our Chapter Data & AI Engineering. The chapter represents all experts who deliver data and AI engineering capabilities to our product teams. These experts are organized together to enhance those functional skillsets, improve E.ON’s MLOps & AIOps tech stack and deliver a high level of data delivery & model automation.

The products you will be working on belong to our team Digital Solutions I Future Energy Home. This team develops and operates software to manage home energy devices such as photovoltaic, inverters, batteries, EV charging wall boxes, heat pumps, and meters as a cloud-based solution for our central and local units so they can rollout those solutions to the end-customers. We integrate with numerous vendors’ devices and apply centralized insights, analytics, and control mechanisms for these devices.

Meaningful & Challenging - Your tasks

• Enhance decision-making processes in the home energy management systems domain by delivering data analysis
• Design, build, and deploy predictive models and algorithms; ensure scalability and integration with existing systems and processes
• Oversee data science projects from conception to deployment and their ongoing maintenance
• Ensure timely delivery and adherence to the highest quality standards
• Collaborate with other departments and business units while working in cross-functional teams to identify opportunities for leveraging data

Authentic & Ambitious - Your profile

• Advanced degree (Master’s or PhD) in Data Science, Statistics, Computer Science, Mathematics, or a related field
• Long-term and profound experience in data science or a related field, with a proven track record of leading successful data-driven projects
• Expertise in programming languages such as Python, and experience with data manipulation tools (SQL, Pandas) and machine learning frameworks (Scikit-learn, TensorFlow, PyTorch)
• Excellent communication and presentation skills, with the ability to explain complex data concepts to non-technical stakeholders and influence business decisions
• Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights and strategies

We provide full flexibility:

• Work from home or any other place in Germany, including offices from Hamburg to Munich. Up to 20 days per year workation within Europe.
• 30 holidays per year plus Christmas and New Year’s Eve. Option to exchange salary parts for more holidays or take a sabbatical.
• Support for personal and professional development through on-the-job learning, training, and knowledge exchange.
• Engagement in Digital Empowerment Communities for collaboration and networking.
• Mobility benefits including car and bike leasing, and subsidized Deutschland-Ticket.
• Company pension scheme and insurance packages for your future.
• Further benefits to be discussed during the recruitment process.