Dein persönlicher KI-Karriere-Agent
Senior Data Scientist(m/w/x)
Developing ML solutions for health and finance clients, leading projects and defining methodological approaches. Four years of industry ML implementation experience required. Profit share scheme, annual team camps.
Anforderungen
- Master’s degree (Uni, FH) in computer science or comparable education
- PhD in machine learning related field (plus)
- At least four years of professional/research experience in machine learning after graduation
- Experience implementing machine learning solutions in industry
- Experience in professional services business (advantageous)
- Solid and broad knowledge in machine learning
- In-depth knowledge in application domain (e.g. large language models, computer vision)
- Good knowledge in statistics
- Proficiency in Python machine learning stack (NumPy, pandas, scikit-learn, PyTorch)
- Experience in software engineering
- Familiarity with database systems (relational/NoSQL)
- Familiarity with major cloud providers (Azure/AWS/GCP)
- Understanding of training/operationalizing ML solutions concepts (MLOps, containerization, experiment tracking, data versioning)
- Open and communicative personality
- Comfortable in interdisciplinary teams
- Customer-oriented work approach
- German language skills required
- Very good English skills
- Willingness to apply even if not all requirements are met
Aufgaben
- Lead customer projects in various industries
- Define methodological approaches
- Develop use cases with customers
- Advise customers on technical topics
- Present and explain results
- Inspire customers with data science expertise
- Lead development of machine learning solutions
- Prepare data
- Model data
- Select methods
- Evaluate solutions
- Implement machine learning models
- Evaluate technical and economic feasibility
- Operationalize prototypes with data platform architects and engineers
- Support junior team members
- Contribute to AI & Data Practice development
- Acquire customer projects
- Represent Zühlke at national conferences
Berufserfahrung
- 4 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Deutsch – fließend
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- NumPy
- pandas
- scikit-learn
- PyTorch
- Azure
- AWS
- GCP
Benefits
Flexibles Arbeiten
- Flexible working hours
- Work from home
Boni & Prämien
- Profit share scheme
Team Events & Ausflüge
- Annual team camps
- Year-end parties
- Local festivities
Weiterbildungsangebote
- Investment in development
- Skill building opportunities
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Senior Data Scientist(m/w/x)
Developing ML solutions for health and finance clients, leading projects and defining methodological approaches. Four years of industry ML implementation experience required. Profit share scheme, annual team camps.
Anforderungen
- Master’s degree (Uni, FH) in computer science or comparable education
- PhD in machine learning related field (plus)
- At least four years of professional/research experience in machine learning after graduation
- Experience implementing machine learning solutions in industry
- Experience in professional services business (advantageous)
- Solid and broad knowledge in machine learning
- In-depth knowledge in application domain (e.g. large language models, computer vision)
- Good knowledge in statistics
- Proficiency in Python machine learning stack (NumPy, pandas, scikit-learn, PyTorch)
- Experience in software engineering
- Familiarity with database systems (relational/NoSQL)
- Familiarity with major cloud providers (Azure/AWS/GCP)
- Understanding of training/operationalizing ML solutions concepts (MLOps, containerization, experiment tracking, data versioning)
- Open and communicative personality
- Comfortable in interdisciplinary teams
- Customer-oriented work approach
- German language skills required
- Very good English skills
- Willingness to apply even if not all requirements are met
Aufgaben
- Lead customer projects in various industries
- Define methodological approaches
- Develop use cases with customers
- Advise customers on technical topics
- Present and explain results
- Inspire customers with data science expertise
- Lead development of machine learning solutions
- Prepare data
- Model data
- Select methods
- Evaluate solutions
- Implement machine learning models
- Evaluate technical and economic feasibility
- Operationalize prototypes with data platform architects and engineers
- Support junior team members
- Contribute to AI & Data Practice development
- Acquire customer projects
- Represent Zühlke at national conferences
Berufserfahrung
- 4 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Deutsch – fließend
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- NumPy
- pandas
- scikit-learn
- PyTorch
- Azure
- AWS
- GCP
Benefits
Flexibles Arbeiten
- Flexible working hours
- Work from home
Boni & Prämien
- Profit share scheme
Team Events & Ausflüge
- Annual team camps
- Year-end parties
- Local festivities
Weiterbildungsangebote
- Investment in development
- Skill building opportunities
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Zühlke Engineering (Austria) GmbH
Branche
IT
Beschreibung
The company is a global transformation partner specializing in engineering and innovation, helping clients build resilient businesses.
Noch nicht perfekt?
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