Data Scientist (w/m/d) für Zeitreihen-Vorhersagen

About This Opportunity

We are representing a confidential technology client in the Dinkelscherben area who is building advanced forecasting solutions. Our talent team is seeking a Data Scientist specializing in time-series predictions to join their growing operation.

This is a remote-friendly position with a team distributed across Germany. You'll work on cutting-edge AI models while taking ownership of operational processes in a fast-moving environment.

Responsibilities

• Develop and refine generic AI models for time-series forecasting applications
• Work with state-of-the-art software and hardware infrastructure
• Take responsibility for operational processes including ETL pipelines and MLOps
• Contribute to building and scaling your own team as the organization grows
• Design and evolve software architecture for large-scale data processing

What We're Looking For

• Strong motivation and enthusiasm for continuous learning
• Proven experience with Python, scikit-learn, and PyTorch
• Hands-on experience using AI-powered programming tools
• Passion for software design and iterative development
• Comfort working with large datasets and data-intensive applications
• Genuine interest in machine learning methods and artificial intelligence
• Knowledge and experience in energy and meteorology domains
• Team-oriented mindset with strong communication skills

How We Work With You

Candidates apply directly through Get A Job.ai. Our recruiting team will conduct an initial screening to understand your background and goals. If there's a strong match, we'll submit your profile to our client for consideration. Please do not contact the client directly—all communication flows through our team to ensure a smooth, professional process.

Pay

Compensation details will be discussed during the screening process based on your experience level and the client's budget.

Equal Opportunity: Get A Job.ai is committed to inclusive hiring practices. We evaluate all candidates based on qualifications and fit, regardless of background.