Senior Data Scientist (f/m/d)

TN Germany; Hannover; Remote; EUR 60.000 - 90.000; Vollzeit

Zusammenfassung

A leading company in the energy sector seeks a Data Scientist to join their Data & AI Engineering team. You will enhance decision-making in home energy management by delivering data analysis and deploying predictive models. The role offers full flexibility to work from anywhere in Germany, with numerous benefits including generous holidays and growth opportunities.

Leistungen

Work from home or any place in Germany

30 holidays plus Christmas and New Year’s Eve

Growth opportunities through training

Mobility benefits like car and bike leasing

Company pension scheme

Further benefits to be discussed

Qualifikationen

• Long-term experience in data science with successful project leadership.
• Ability to explain complex data concepts to non-technical stakeholders.
• Strong analytical skills to translate data into actionable insights.

Aufgaben

• Enhance decision-making in home energy management systems through data analysis.
• Design and deploy predictive models ensuring scalability.
• Oversee data science projects from conception to deployment.

Kenntnisse

Data Analysis

Programming in Python

Machine Learning

Data Manipulation

Communication Skills

Problem-Solving

Ausbildung

Master’s or PhD in Data Science, Statistics, Computer Science, Mathematics

Tools

SQL

Pandas

Scikit-learn

TensorFlow

PyTorch

Jobbeschreibung

Social network you want to login/join with:

Location:

Hanover, Germany

Job Category:

Other

EU work permit required:

Yes

Job Reference:

Job Views:

3

Posted:

21.05.2025

Expiry Date:

05.07.2025

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 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.
• Growth opportunities through on-the-job learning, training, and knowledge exchange.
• Engage in Digital Empowerment Communities for collaboration and networking.
• Mobility benefits like car and bike leasing, subsidized Deutschland-Ticket.
• Company pension scheme and insurance packages for your future.
• Further benefits to be discussed during the recruiting process.