Senior Data Scientist (f/m/d)

TN Germany; Essen; Remote; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

Join a leading company in the energy sector as a Data Scientist. You will enhance home energy management systems through data analysis and predictive modeling, collaborating with cross-functional teams to drive impactful data-driven decisions. Enjoy flexible working arrangements, generous holidays, and continuous development opportunities.

Leistungen

Full flexibility: Work from home

30 holidays per year plus Christmas and New Year’s Eve

Continuous growth opportunities

Mobility benefits: Car and bike leasing

Company pension scheme

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 by delivering data analysis.
• 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

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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

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.

Your profile

1. 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 offer

• Full flexibility: Work from home or any other place in Germany, including offices from Hamburg to Munich. Option for workation up to 20 days per year 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.
• Your development: Continuous growth opportunities through on-the-job learning, training, and knowledge exchange.
• 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 comprehensive insurance packages.
• Additional benefits: Further details discussed during the recruitment process.