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Data Scientist (m/f/d) - Job Opportunity at Liebherr-Digital Development Center GmbH

Ulm, Germany
Full-time
Mid-level
Posted: April 4, 2025
On-site
EUR 65,000 - 85,000 annually based on Ulm market conditions and industrial sector standards

Benefits

Modern work environment in new Ulm offices
Work with cutting-edge AI technologies
Collaborative team culture
Professional development opportunities
Work on diverse industrial applications

Key Responsibilities

Lead development and implementation of machine learning models for industrial optimization
Drive feature prioritization and stakeholder coordination
Perform advanced data analysis on large industrial datasets
Maintain technical leadership in ML/AI advancements
Integrate data science solutions into production systems

Requirements

Education

M.Sc. Computer Science, Mathematics or related technical field with focus on Data Science, ML or AI

Experience

Not explicitly stated but implied mid-level experience

Required Skills

Python programming TensorFlow PyTorch scikit-learn SQL DB NoSQL DB Data lake technologies Statistical analysis Experimental design German language English language
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Industry Trends

Industrial AI adoption is accelerating with focus on predictive maintenance and optimization Manufacturing sector increasingly relies on ML for process optimization and quality control Integration of AI with IoT devices is creating new opportunities in industrial applications German industrial sector leads European digital transformation initiatives

Role Significance

Likely part of a specialized 5-8 person Data & AI team within larger digital development center
Mid-level position with significant technical responsibility and stakeholder management requirements

Key Projects

Predictive maintenance systems for construction equipment Industrial process optimization algorithms Machine learning model deployment in production environments Data pipeline development for industrial applications

Success Factors

Strong foundation in industrial applications of ML/AI Ability to bridge theoretical knowledge with practical implementation Effective communication with both technical and business stakeholders Experience with large-scale data processing and production deployment

Market Demand

High demand with strong growth trajectory due to Industry 4.0 initiatives and digital transformation in manufacturing

Important Skills

Critical Skills

Machine learning framework expertise for industrial applications Production-grade Python development skills Statistical analysis capabilities for industrial data Database architecture knowledge for large-scale data management

Beneficial Skills

Cloud computing platforms DevOps practices Industrial IoT protocols Computer vision expertise

Unique Aspects

Direct impact on real-world industrial applications
Access to large-scale industrial data sets
Opportunity to work with diverse industrial products
Integration of AI solutions in physical machinery

Career Growth

2-3 years typical progression to team lead role, 4-5 years to senior technical position

Potential Next Roles

Lead Data Scientist AI Technical Lead Machine Learning Engineering Manager Head of AI/ML

Company Overview

Liebherr-Digital Development Center GmbH

Liebherr-Digital Development Center serves as the digital innovation hub for the entire Liebherr Group, a major player in construction machinery and industrial equipment

Strong position as digital transformation leader in industrial manufacturing sector
Strategic location in Ulm's technology hub with significant influence in German industrial digitalization
Innovation-focused environment with emphasis on practical implementation of cutting-edge technologies
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