Applied Scientist – Deep Learning/Time Series

Applied Scientist - Deep Learning/Time Series

Job Description:

We are seeking an innovative and driven Applied Scientist specializing in Deep Learning and Time Series analysis. The ideal candidate will possess a strong foundation in machine learning methodologies and be adept at developing predictive models that can analyze time-dependent data. This role demands a deep understanding of neural networks, statistical methods, and a passion for translating complex data into actionable insights. You will be working on cutting-edge projects that leverage advanced algorithms to enhance decision-making processes in various applications. Your contributions will directly impact our ability to deliver intelligent solutions across industries.

IT Languages:

• Python
• TensorFlow
• PyTorch

As an Applied Scientist, you will be responsible for developing and optimizing machine learning models, conducting experiments, and presenting findings.:

Design and implement deep learning models for time series analysis;; Analyze large datasets to extract meaningful insights;; Collaborate with cross-functional teams to integrate models into production systems;; Stay updated with the latest advancements in machine learning and AI technologies

Spoken Languages:

• English;; German;; French

Skillset:

• Deep Learning
• Time Series Analysis
• Machine Learning
• Statistical Analysis
• Data Visualization

Soft Skills:

• Team Player
• Critical Thinking
• Effective Communication
• Adaptability

Qualifications:

• PhD or Master's degree in Computer Science, Engineering, or a related field
• Proven experience in machine learning and deep learning techniques
• Strong analytical and problem-solving skills

Years of Experience:

5

Location:

Europe

Job Benefits:

• Health insurance
• Retirement plan
• Flexible working hours
• Professional development opportunities
• Paid time off

Working Conditions:

Full Time

Employment Type:

Permanent Contract

Company Culture:

• We foster an inclusive and collaborative environment where innovation thrives. Our team values creativity and encourages continuous learning. We believe in the importance of work-life balance and support our employees in their career development journeys.

Opportunities For Advancement:

• Leadership roles, Mentorship programs, Cross-departmental projects

Visa Sponsorship:

Available