Dein persönlicher KI-Karriere-Agent
Team Lead Data Science AI(m/w/x)
Framing business issues and translating requirements into end-to-end Data Science and AI projects at a global logistics provider. 10+ years delivering Data Science/AI Engineering projects required. Flexible work arrangement, job ticket for public transportation.
Anforderungen
- 10+ years delivering Data Science/AI Engineering projects
- 4+ years leading expert teams on complex solutions
- Track record shipping AI/ML products with business impact
- Ownership for turning ideas into outcomes
- Translating business needs into scalable AI solutions
- Pragmatic decision-making
- Building sustainable stakeholder relationships and trust
- Clarity in ambiguous situations
- Turning idea discussions into successful projects
- Strong technical oversight
- Fluency in Python
- Fluency in SQL
- Hands-on experience productionizing ML/LLM solutions
- Experience with cloud environments (Azure/AWS/GCP)
- Deep knowledge of retrieval/RAG
- Deep knowledge of agent orchestration
- Deep knowledge of prompt/versioning
- Deep knowledge of tracing
- Deep knowledge of RAG evaluation
- Guiding teams in applying AI/ML techniques effectively
- Clear communication of complex technical choices
- Enabling alignment across audiences
- People-centric leadership style
- Coaching team members
- Building trust quickly
- Empathy combined with pragmatic mindset
- High drive and ownership
- Motivation by shaping direction and culture
Aufgaben
- Build relationships with business stakeholders
- Frame business issues and value hypotheses
- Translate requirements into Data Science and AI projects
- Set up projects end-to-end
- Allocate resources and plan timelines
- Design scalable solution architectures
- Make make/buy decisions
- Conduct data landscape assessments
- Lead cross-functional expert teams
- Work closely with Consulting on large-scale projects
- Provide project guidance and unblock roadblocks
- Identify and set success criteria
- Ensure adoption and quality of deliverables
- Monitor solutions for performance, reliability, and costs
- Guide teams on responsible AI and risk standards
- Align with privacy, security, and compliance
- Document evaluations and guardrails
- Contribute to best practices and playbooks
- Accelerate future use cases
- Ensure consistency in initiatives
- Develop service offerings and ways of working
- Shape company-wide action plans
- Align with stakeholders across business and tech landscape
- Lead and develop a team of 5-7 experts
- Build a strong team identity
- Manage career progression
- Provide regular feedback
- Prepare people evaluations
- Support organizational growth
- Interview new candidates
- Represent DHL Data & AI at events and conferences
Berufserfahrung
- 10 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- SQL
- ML
- LLM
- CI/CD
- observability
- Azure
- AWS
- GCP
- RAG
Benefits
Weiterbildungsangebote
- Comprehensive training programs
- E-learning resources
Flexibles Arbeiten
- Flexible work arrangement
- Mobile work and office presence
Öffi Tickets
- Job ticket for public transportation
Parkplatz & Pendelvorteile
- Parking space for a monthly fee
Firmenfahrrad
- Bicycle leasing
Kinderbetreuung
- DHL Group daycare facilities
Lockere Unternehmenskultur
- Inclusive international setting
Noch nicht perfekt?
- DHL GroupVollzeitmit HomeofficeSeniorBonn
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Team Lead Data Science AI(m/w/x)
Framing business issues and translating requirements into end-to-end Data Science and AI projects at a global logistics provider. 10+ years delivering Data Science/AI Engineering projects required. Flexible work arrangement, job ticket for public transportation.
Anforderungen
- 10+ years delivering Data Science/AI Engineering projects
- 4+ years leading expert teams on complex solutions
- Track record shipping AI/ML products with business impact
- Ownership for turning ideas into outcomes
- Translating business needs into scalable AI solutions
- Pragmatic decision-making
- Building sustainable stakeholder relationships and trust
- Clarity in ambiguous situations
- Turning idea discussions into successful projects
- Strong technical oversight
- Fluency in Python
- Fluency in SQL
- Hands-on experience productionizing ML/LLM solutions
- Experience with cloud environments (Azure/AWS/GCP)
- Deep knowledge of retrieval/RAG
- Deep knowledge of agent orchestration
- Deep knowledge of prompt/versioning
- Deep knowledge of tracing
- Deep knowledge of RAG evaluation
- Guiding teams in applying AI/ML techniques effectively
- Clear communication of complex technical choices
- Enabling alignment across audiences
- People-centric leadership style
- Coaching team members
- Building trust quickly
- Empathy combined with pragmatic mindset
- High drive and ownership
- Motivation by shaping direction and culture
Aufgaben
- Build relationships with business stakeholders
- Frame business issues and value hypotheses
- Translate requirements into Data Science and AI projects
- Set up projects end-to-end
- Allocate resources and plan timelines
- Design scalable solution architectures
- Make make/buy decisions
- Conduct data landscape assessments
- Lead cross-functional expert teams
- Work closely with Consulting on large-scale projects
- Provide project guidance and unblock roadblocks
- Identify and set success criteria
- Ensure adoption and quality of deliverables
- Monitor solutions for performance, reliability, and costs
- Guide teams on responsible AI and risk standards
- Align with privacy, security, and compliance
- Document evaluations and guardrails
- Contribute to best practices and playbooks
- Accelerate future use cases
- Ensure consistency in initiatives
- Develop service offerings and ways of working
- Shape company-wide action plans
- Align with stakeholders across business and tech landscape
- Lead and develop a team of 5-7 experts
- Build a strong team identity
- Manage career progression
- Provide regular feedback
- Prepare people evaluations
- Support organizational growth
- Interview new candidates
- Represent DHL Data & AI at events and conferences
Berufserfahrung
- 10 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- SQL
- ML
- LLM
- CI/CD
- observability
- Azure
- AWS
- GCP
- RAG
Benefits
Weiterbildungsangebote
- Comprehensive training programs
- E-learning resources
Flexibles Arbeiten
- Flexible work arrangement
- Mobile work and office presence
Öffi Tickets
- Job ticket for public transportation
Parkplatz & Pendelvorteile
- Parking space for a monthly fee
Firmenfahrrad
- Bicycle leasing
Kinderbetreuung
- DHL Group daycare facilities
Lockere Unternehmenskultur
- Inclusive international setting
Über das Unternehmen
DHL Group
Branche
Logistics
Beschreibung
DHL Group is the biggest logistics company in the world, providing management consulting and digitalization services across all industries.
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