Senior Data Scientist (f/m/d)

TN Germany; Würzburg; Hybrid; EUR 55.000 - 90.000; Vollzeit

Zusammenfassung

Join a forward-thinking company as part of a dynamic team focused on data and AI engineering. In this role, you will enhance home energy management systems through data analysis and predictive modeling. Collaborate with cross-functional teams to leverage data for impactful decision-making. With full flexibility to work from anywhere in Germany and generous holiday options, this position offers a unique opportunity for personal and professional growth. Engage in innovative projects that shape the future of energy solutions and contribute to a sustainable environment.

Leistungen

Work from home flexibility

30 holidays plus Christmas and New Year’s Eve

Opportunities for professional development

Mobility benefits including car and bike leasing

Company pension scheme

Insurance packages

Workation opportunities within Europe

Qualifikationen

• Advanced degree in Data Science, Statistics, or related field.
• Long-term experience in data science with successful project leadership.
• Excellent communication skills for explaining data concepts.

Aufgaben

• Deliver data analysis to enhance decision-making in energy management.
• Design and deploy predictive models ensuring integration with existing systems.
• Oversee data science projects from conception to deployment.

Kenntnisse

Data Science

Python

SQL

Pandas

Machine Learning

Scikit-learn

TensorFlow

PyTorch

Communication Skills

Analytical Skills

Ausbildung

Master's in Data Science

PhD in Statistics

Tools

Scikit-learn

TensorFlow

PyTorch

Jobbeschreibung

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Job Reference:

da42e7f3dc88

Job Views:

1

Posted:

09.05.2025

Expiry Date:

23.06.2025

Job Description:

About the team

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

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

Authentic & ambitious - Your profile

1. Advanced degree (Master’s or PhD) in Data Science, Statistics, Computer Science, Mathematics, or a related field.
2. Long-term and profound experience in data science or a related field, with a proven track record of leading successful data-driven projects.
3. Expertise in programming languages such as Python, and experience with data manipulation tools (SQL, Pandas) and machine learning frameworks (Scikit-learn, TensorFlow, PyTorch).
4. Excellent communication and presentation skills, with the ability to explain complex data concepts to non-technical stakeholders and influence business decisions.
5. 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 of workation within Europe.
• 30 holidays per year plus Christmas and New Year’s Eve. Options to exchange salary parts for more holidays or take a sabbatical.
• Opportunities for personal and professional development through on-the-job learning, training, and knowledge exchange.
• Engage in Digital Empowerment Communities for collaboration, learning, 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 recruiting process.