Aktiviere Job-Benachrichtigungen per E-Mail!

Senior Data Scientist (f/m/d)

TN Germany

Frankfurt

Vor Ort

EUR 60.000 - 80.000

Vollzeit

Vor 7 Tagen
Sei unter den ersten Bewerbenden

Erhöhe deine Chancen auf ein Interview

Erstelle einen auf die Position zugeschnittenen Lebenslauf, um deine Erfolgsquote zu erhöhen.

Zusammenfassung

Join a leading company as part of the Data & AI Engineering chapter, where you'll enhance decision-making in home energy management systems. You'll design and deploy predictive models, oversee data science projects, and collaborate across teams to leverage data for impactful insights.

Qualifikationen

  • Long-term experience in data science with a proven track record.
  • Ability to explain complex data concepts to non-technical stakeholders.

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
Communication
Problem Solving

Ausbildung

Master’s or PhD in Data Science

Tools

Python
SQL
Pandas
Scikit-learn
TensorFlow
PyTorch

Jobbeschreibung

Social network you want to login/join with:

col-narrow-left

Client:

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.

Location:
Job Category:

Other

-

EU work permit required:

Yes

col-narrow-right

Job Reference:

5c531d1d69b3

Job Views:

1

Posted:

11.05.2025

Expiry Date:

25.06.2025

col-wide

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

  • 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.
Hol dir deinen kostenlosen, vertraulichen Lebenslauf-Check.
eine PDF-, DOC-, DOCX-, ODT- oder PAGES-Datei bis zu 5 MB per Drag & Drop ablegen.