Dein persönlicher KI-Karriere-Agent
Senior Data Scientist - (Query Intelligence, Global Discovery)(m/w/x)
Developing and optimizing LLMs for query understanding with Agentic AI. Deep hands-on experience with agentic workflows and tool-use required. 27 days holiday, 1000 EUR educational budget.
Anforderungen
- Advanced degree in quantitative field or equivalent background
- Proven track record as Data Scientist
- Deep, hands-on experience building Agentic workflows
- Experience with tool-use (function calling)
- Experience with autonomous planning
- Experience with orchestration frameworks
- Proven track record in LLM fine-tuning
- Experience with distillation techniques
- Essential proficiency in Python
- Essential proficiency in SQL
- Experience with Cloud environments
- Experience with MLOps tools
- Hands-on experience with search ML algorithms
- Foundational understanding of search funnel
- Ability to navigate ambiguity
- Ability to define clear data science solutions
- Ability to deliver scalable results
- Proactive use of AI-assisted tools
- Demonstrated experience in global, cross-functional teams
- Excellent communication skills
- Ability to articulate complex ideas
- Ability to influence stakeholders
- Open-mindedness
- Eagerness to learn from others
- Eagerness to mentor others
Aufgaben
- Research, develop, and optimize advanced LLMs
- Fine-tune LLMs for query understanding services
- Apply Agentic AI to query understanding services
- Design agentic reasoning patterns
- Implement agentic reasoning patterns
- Orchestrate multi-agent systems
- Solve complex search problems
- Solve ambiguous search problems
- Apply PEFT (LoRA/QLoRA) for model optimization
- Apply supervised fine-tuning
- Apply model distillation
- Create high-performance, low-latency solutions
- Identify SOTA methods for complex problems
- Solve problems in high-complexity environments
- Own the full data science lifecycle
- Ideate data science solutions
- Fine-tune models for production
- Deploy models to production
- Collaborate with product managers
- Collaborate with analysts
- Collaborate with backend engineers
- Collaborate with data engineers
- Translate business challenges into data science projects
- Analyze large, complex datasets
- Interpret large, complex datasets
- Uncover insights into search relevance
- Communicate findings to stakeholders
- Influence strategy and product direction
- Experiment with cutting-edge technologies
- Leverage LLMs for innovation
- Leverage Agentic AI for innovation
- Accelerate innovation
- Streamline processes
- Tackle ambiguous business problems
- Translate business challenges into data science projects
- Define clear project objectives
- Navigate uncertainty
- Deliver tangible results
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- SQL
- LangChain
- LlamaIndex
- AutoGen
- MLFlow
- Metaflow
- Gemini
- Cloud Code
Benefits
Mehr Urlaubstage
- 27 days holiday
Sonstige Zulagen
- 1000 EUR Educational Budget
- Bicycle subsidy
- Digital meal vouchers
- Food vouchers
Weiterbildungsangebote
- Language courses
- Udemy Business platform access
Familienfreundlichkeit
- Parental support
Gesundheits- & Fitnessangebote
- Health checkups
- Gym subsidy
Mentale Gesundheitsförderung
- Meditation
Attraktive Vergütung
- Employee Share Purchase Plan
Workation & Sabbatical
- Sabbatical Bank
Öffi Tickets
- Public transportation ticket discount
Sonstige Vorteile
- Life insurance
- Accident insurance
- Relocation support
Betriebliche Altersvorsorge
- Corporate pension plan
Mitarbeiterrabatte
- Corporate discounts
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Senior Data Scientist - (Query Intelligence, Global Discovery)(m/w/x)
Developing and optimizing LLMs for query understanding with Agentic AI. Deep hands-on experience with agentic workflows and tool-use required. 27 days holiday, 1000 EUR educational budget.
Anforderungen
- Advanced degree in quantitative field or equivalent background
- Proven track record as Data Scientist
- Deep, hands-on experience building Agentic workflows
- Experience with tool-use (function calling)
- Experience with autonomous planning
- Experience with orchestration frameworks
- Proven track record in LLM fine-tuning
- Experience with distillation techniques
- Essential proficiency in Python
- Essential proficiency in SQL
- Experience with Cloud environments
- Experience with MLOps tools
- Hands-on experience with search ML algorithms
- Foundational understanding of search funnel
- Ability to navigate ambiguity
- Ability to define clear data science solutions
- Ability to deliver scalable results
- Proactive use of AI-assisted tools
- Demonstrated experience in global, cross-functional teams
- Excellent communication skills
- Ability to articulate complex ideas
- Ability to influence stakeholders
- Open-mindedness
- Eagerness to learn from others
- Eagerness to mentor others
Aufgaben
- Research, develop, and optimize advanced LLMs
- Fine-tune LLMs for query understanding services
- Apply Agentic AI to query understanding services
- Design agentic reasoning patterns
- Implement agentic reasoning patterns
- Orchestrate multi-agent systems
- Solve complex search problems
- Solve ambiguous search problems
- Apply PEFT (LoRA/QLoRA) for model optimization
- Apply supervised fine-tuning
- Apply model distillation
- Create high-performance, low-latency solutions
- Identify SOTA methods for complex problems
- Solve problems in high-complexity environments
- Own the full data science lifecycle
- Ideate data science solutions
- Fine-tune models for production
- Deploy models to production
- Collaborate with product managers
- Collaborate with analysts
- Collaborate with backend engineers
- Collaborate with data engineers
- Translate business challenges into data science projects
- Analyze large, complex datasets
- Interpret large, complex datasets
- Uncover insights into search relevance
- Communicate findings to stakeholders
- Influence strategy and product direction
- Experiment with cutting-edge technologies
- Leverage LLMs for innovation
- Leverage Agentic AI for innovation
- Accelerate innovation
- Streamline processes
- Tackle ambiguous business problems
- Translate business challenges into data science projects
- Define clear project objectives
- Navigate uncertainty
- Deliver tangible results
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- SQL
- LangChain
- LlamaIndex
- AutoGen
- MLFlow
- Metaflow
- Gemini
- Cloud Code
Benefits
Mehr Urlaubstage
- 27 days holiday
Sonstige Zulagen
- 1000 EUR Educational Budget
- Bicycle subsidy
- Digital meal vouchers
- Food vouchers
Weiterbildungsangebote
- Language courses
- Udemy Business platform access
Familienfreundlichkeit
- Parental support
Gesundheits- & Fitnessangebote
- Health checkups
- Gym subsidy
Mentale Gesundheitsförderung
- Meditation
Attraktive Vergütung
- Employee Share Purchase Plan
Workation & Sabbatical
- Sabbatical Bank
Öffi Tickets
- Public transportation ticket discount
Sonstige Vorteile
- Life insurance
- Accident insurance
- Relocation support
Betriebliche Altersvorsorge
- Corporate pension plan
Mitarbeiterrabatte
- Corporate discounts
Über das Unternehmen
Delivery Hero
Branche
Food
Beschreibung
The company is a pioneering local delivery platform operating in over 70 countries, focused on delivering an amazing experience.
Noch nicht perfekt?
- Tourlane GmbH
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Vollzeitmit HomeofficeSeniorBerlin - Simon-Kucher
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Vollzeitmit HomeofficeBerufserfahrenBerlin - EGYM
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Vollzeitmit HomeofficeSeniorMünchen, Berlin - Smartly
Senior Data Scientist(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - Diconium Germany GmbH
Senior Data Scientist(m/w/x)
Vollzeitmit HomeofficeManagementBerlin