Senior Data Scientist (f/m/d)

In this position, you will be part of our Chapter Data & A; Würzburg; Remote; EUR 60.000 - 90.000; Vollzeit

Zusammenfassung

Join a leading company in home energy solutions where you will leverage data and AI for innovative product development. The role requires an advanced degree in a related field and offers the chance to work on exciting projects that enhance the energy management systems landscape. The position allows for flexibility in working location within Germany and provides competitive benefits including 30 vacation days.

Leistungen

30 holidays per year

Work from home flexibility

Mobility benefits

Company pension scheme

Development opportunities

Recharge your batteries with additional leave options

Qualifikationen

• Advanced degree in relevant fields such as Data Science or Computer Science.
• Profound experience in leading data-driven projects.
• Expertise in programming and data manipulation tools.

Aufgaben

• Enhancing decision-making in home energy management through data analysis.
• Designing predictive models and ensuring integration with systems.
• Overseeing data science projects from conception to deployment.

Kenntnisse

Data Analysis

Machine Learning

Python

SQL

Data Manipulation

Problem Solving

Communication

Ausbildung

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

Tools

Scikit-learn

TensorFlow

PyTorch

Pandas

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.

Your responsibilities include:

• Enhancing decision-making processes in the home energy management systems domain by delivering data analysis.
• Designing, building, and deploying predictive models and algorithms; ensuring scalability and integration with existing systems and processes.
• Overseeing data science projects from conception to deployment and their ongoing maintenance.
• Ensuring timely delivery and adherence to the highest quality standards.
• Collaborating with other departments and business units while working in cross-functional teams to identify opportunities for leveraging data.

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 offer:

• 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.
• Recharge your batteries: 30 holidays per year plus Christmas and New Year’s Eve. Option to exchange salary parts for more holidays or take a sabbatical.
• Development opportunities: Learning on the job, training, and personal development support.
• Empowerment: Engage in our Digital Empowerment Communities for collaboration, learning, and networking.
• Mobility benefits: Car and bike leasing, subsidized Deutschland-Ticket.
• Future planning: Company pension scheme and insurance packages.
• Additional benefits: Further details to be discussed during recruitment.