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Senior Data Scientist (f/m/d)

In this position, you will be part of our Chapter Data & A

Hannover

Remote

EUR 55.000 - 80.000

Vollzeit

Vor 4 Tagen
Sei unter den ersten Bewerbenden

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Zusammenfassung

A leading company is looking for a Data Scientist to be part of their Chapter Data & AI Engineering. This role involves enhancing home energy management via data analysis, predictive modeling, and cross-department collaboration, offering flexibility in work location and substantial employee benefits.

Leistungen

Work from home or any other place in Germany
30 holidays plus Christmas and New Year’s Eve
Opportunities for personal and professional development
Mobility benefits including car and bike leasing
Company pension scheme

Qualifikationen

  • Long-term experience in data science with a proven track record.
  • Expertise in Python and relevant data manipulation tools.
  • Excellent communication and presentation abilities.

Aufgaben

  • Enhance decision-making processes with data analysis.
  • Design and deploy predictive models and algorithms.
  • Oversee data science projects from conception to deployment.

Kenntnisse

Data Analysis
Data Manipulation
Machine Learning
Communication
Problem Solving

Ausbildung

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

Tools

Python
SQL
Pandas
Scikit-learn
TensorFlow
PyTorch

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
  • 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 of workation within Europe.
  • 30 holidays per year plus Christmas and New Year’s Eve. Option to exchange parts of salary for more holidays or take a sabbatical.
  • Opportunities 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.
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