DHL Group
Associate Data Scientist AI(m/w/x)
Full-timeWith HomeofficeJunior
Bonn
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DHDHL Group
Data Scientist AI(m/w/x)
Bonn
Full-timeWith Home OfficeExperienced
AI/ML
Data Science
Nejo AI Summary
Developing AI solutions for logistics processes at DHL Group. 2-3 years of end-to-end data science project experience required. Flexible work arrangements, mobile work and office presence.
Requirements
- University degree in quantitative field or equivalent experience
- Business-related studies are a plus
- 2–3 years working experience in data science or AI engineering projects
- Experience across end-to-end project lifecycles
- Strong programming skills in Python
- Solid experience with SQL
- Familiar with software engineering best practices
- Proven experience building backend services
- Proven experience building data pipelines
- Proven experience integrating ML/LLM components
- Working knowledge of retrieval and RAG systems
- Working knowledge of agent orchestration
- Working knowledge of AI/LLM technology ecosystem
- Solid understanding of machine learning fundamentals
- Experience developing and deploying models with business impact
- Practical experience with modern ML/AI frameworks
- Good grasp of MLOps workflows
- Solid understanding of prompt versioning
- Solid understanding of agent tracing
- Solid understanding of RAG Evaluations metrics
- Experience with cloud platforms
- Experience with distributed data environments
- Excellent communication skills in English
- Excellent presentation skills in English
- Ability to articulate technical concepts and trade-offs
- Strong problem solving skills
- Collaborative mindset
- Proactive mindset
- High level of curiosity
- High level of integrity
- High level of ownership
- Positive, results oriented attitude
- Broad understanding of business contexts
- Experience in strategic initiatives
- Experience in cross functional initiatives
Tasks
- Partner with business stakeholders to understand processes and challenges
- Translate business challenges into analytical approaches
- Generate ideas for data and AI applications
- Collect and analyze existing data landscape
- Develop scalable solution architectures
- Design systems for efficient implementation at scale
- Prepare and test AI features
- Release AI features and deploy updates
- Monitor performance of AI features
- Understand key indicators like responsiveness, reliability, and cost
- Create simple demos and prototypes
- Develop practical enablement materials
- Prepare and deliver workshops
- Communicate insights and recommendations clearly
- Collaborate with Data Engineers, Platform Engineers, and Product Managers
- Work with senior AI Scientists and Machine Learning Engineers
- Grow technical and professional skills
Work Experience
- 2 - 3 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- SQL
- PyTorch
- scikit-learn
- Pydantic
- AutoGen
- AWS
- Azure
- GCP
Benefits
Learning & Development
- Comprehensive training programs
- Workshops
- E-learning resources
Flexible Working
- Flexible work arrangement
- Mobile work and office presence
Public Transport Subsidies
- Job ticket for public transportation
Parking & Commuter Benefits
- Parking space for a monthly fee
Company Bike
- Bicycle leasing
Childcare
- DHL Group daycare facilities
Informal Culture
- Inclusive and cooperative international setting
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of DHL Group and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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DHDHL Group
Data Scientist AI(m/w/x)
Bonn
Full-timeWith Home OfficeExperienced
AI/ML
Data Science
Nejo AI Summary
Developing AI solutions for logistics processes at DHL Group. 2-3 years of end-to-end data science project experience required. Flexible work arrangements, mobile work and office presence.
Requirements
- University degree in quantitative field or equivalent experience
- Business-related studies are a plus
- 2–3 years working experience in data science or AI engineering projects
- Experience across end-to-end project lifecycles
- Strong programming skills in Python
- Solid experience with SQL
- Familiar with software engineering best practices
- Proven experience building backend services
- Proven experience building data pipelines
- Proven experience integrating ML/LLM components
- Working knowledge of retrieval and RAG systems
- Working knowledge of agent orchestration
- Working knowledge of AI/LLM technology ecosystem
- Solid understanding of machine learning fundamentals
- Experience developing and deploying models with business impact
- Practical experience with modern ML/AI frameworks
- Good grasp of MLOps workflows
- Solid understanding of prompt versioning
- Solid understanding of agent tracing
- Solid understanding of RAG Evaluations metrics
- Experience with cloud platforms
- Experience with distributed data environments
- Excellent communication skills in English
- Excellent presentation skills in English
- Ability to articulate technical concepts and trade-offs
- Strong problem solving skills
- Collaborative mindset
- Proactive mindset
- High level of curiosity
- High level of integrity
- High level of ownership
- Positive, results oriented attitude
- Broad understanding of business contexts
- Experience in strategic initiatives
- Experience in cross functional initiatives
Tasks
- Partner with business stakeholders to understand processes and challenges
- Translate business challenges into analytical approaches
- Generate ideas for data and AI applications
- Collect and analyze existing data landscape
- Develop scalable solution architectures
- Design systems for efficient implementation at scale
- Prepare and test AI features
- Release AI features and deploy updates
- Monitor performance of AI features
- Understand key indicators like responsiveness, reliability, and cost
- Create simple demos and prototypes
- Develop practical enablement materials
- Prepare and deliver workshops
- Communicate insights and recommendations clearly
- Collaborate with Data Engineers, Platform Engineers, and Product Managers
- Work with senior AI Scientists and Machine Learning Engineers
- Grow technical and professional skills
Work Experience
- 2 - 3 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- SQL
- PyTorch
- scikit-learn
- Pydantic
- AutoGen
- AWS
- Azure
- GCP
Benefits
Learning & Development
- Comprehensive training programs
- Workshops
- E-learning resources
Flexible Working
- Flexible work arrangement
- Mobile work and office presence
Public Transport Subsidies
- Job ticket for public transportation
Parking & Commuter Benefits
- Parking space for a monthly fee
Company Bike
- Bicycle leasing
Childcare
- DHL Group daycare facilities
Informal Culture
- Inclusive and cooperative international setting
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of DHL Group and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
DHL Group
Industry
Logistics
Description
DHL Group is the biggest logistics company in the world, providing management consulting and digitalization services across all industries.
Not a perfect match?
- DHL Group
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