Senior Data Scientist (f / m / d)

In this position, you will be part of our Chapter Data & A; Frankfurt; Hybrid; EUR 50.000 - 90.000; Vollzeit

Zusammenfassung

Ein innovatives Unternehmen sucht einen erfahrenen Datenwissenschaftler, um komplexe Datenanalysen durchzuführen und prädiktive Modelle zu entwickeln. In dieser spannenden Rolle arbeiten Sie an der Integration von KI in Energiemanagementlösungen und tragen zur Verbesserung der Entscheidungsfindung bei. Ihre Expertise in Python und maschinellem Lernen wird entscheidend sein, um qualitativ hochwertige Ergebnisse zu liefern. Mit flexiblen Arbeitsmöglichkeiten und einem starken Fokus auf persönliche Entwicklung bietet diese Position die Chance, in einem dynamischen Umfeld zu wachsen und einen bedeutenden Einfluss auf die Zukunft der Energiebranche zu haben.

Leistungen

Flexibles Arbeiten

30 Urlaubstage plus Feiertage

Individuelle Weiterbildung

Digital Empowerment Communities

Fahrzeug- und Fahrradleasing

Betriebliche Altersvorsorge

Sabbatical-Möglichkeiten

Qualifikationen

• Langfristige Erfahrung in der Datenwissenschaft mit erfolgreicher Projektleitung.
• Fähigkeit, komplexe Daten in umsetzbare Erkenntnisse zu übersetzen.

Aufgaben

• Durchführung komplexer Datenanalysen zur Lösung kritischer Geschäftsprobleme.
• Entwicklung und Bereitstellung prädiktiver Modelle und Algorithmen.

Kenntnisse

Python

Data Analysis

Machine Learning

Statistical Techniques

Communication Skills

Problem Solving

Ausbildung

Master’s or PhD in Data Science

Degree in Statistics

Degree in Computer Science

Degree in Mathematics

Tools

SQL

Pandas

Scikit-learn

TensorFlow

PyTorch

Jobbeschreibung

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. Perform complex data analysis using advanced statistical and machine learning techniques to solve critical business problems.
2. Enhance decision-making processes in the home energy management systems domain by delivering data analysis.
3. Design, build, and deploy predictive models and algorithms; ensure scalability and integration with existing systems and processes.
4. Oversee data science projects from conception to deployment and their ongoing maintenance.
5. Ensure timely delivery and adherence to the highest quality standards.
6. 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.

Benefits

• We provide full flexibility: Do your work from home or any other place in Germany - of course including all our great offices from Hamburg to Munich. You want even more? Go on workation for up to 20 days per year within Europe.
• Recharge your battery: You have 30 holidays per year plus Christmas and New Year's Eve on top. Your battery still needs charging? You can exchange parts of your salary for more holidays or you can take a sabbatical.
• Your development: We grow and we want you to grow with us. Learning on the job, exchanging with others or taking part in an individual training - Our learning culture enables you to bring your personal and professional development to the next level.
• Let’s empower each other: Take the opportunity to engage in our Digital Empowerment Communities for collaboration, learning, and network building.
• We elevate your mobility: From car and bike leasing offers to a subsidised Deutschland-Ticket - your way is our way.
• Let’s think ahead: With our company pension scheme and a great insurance package we take care of your future.
• This is by far not all: We are looking forward to speaking with you about further benefits during the recruiting process.