- Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: Data Scientist – Data Driven Scheduling Optimization (w/m/d).
Urgent! Data Scientist – Data-Driven Scheduling Optimization (w/m/d) Position in Munich - TÜV SÜD
Aufgaben
Mitwirkung beim Aufbau eines zentralen Kompetenz-Hubs für die datengetriebene Optimierung von operativer Planung & Scheduling – durch Konzeption und Entwicklung komplexer Optimierungs- & Data-Science-Lösungen zur Unterstützung der vielfältigen TÜV SÜD Geschäftsbereiche (z.B. Automotive, Medizintechnik oder Industrie Services)
Umsetzung konkreter Use Cases durch den Einsatz mathematischer Optimierungsverfahren, Machine-Learning Algorithmen (z.B. Forecasting-Modelle) und Artificial Intelligence, zur Verbesserung der Aufgaben- und Tourenplanung
Aufbereitung & Visualisierung von Ergebnissen, sowie Ableitung praxisrelevanter Handlungsempfehlungen; Präsentation der analytischen Ansätze & Insights gegenüber Stakeholdern in den jeweiligen Fachbereichen
Mitgestaltung & Begleitung von End-to-End-Implementierungsprojekten neuer Lösungen (Individualisierung von externen Lösungen, sowie Entwicklung/Skalierung eigener Lösungen)
Enge Zusammenarbeit in agilen, interdisziplinären Projektteams mit weiteren Data Scientists, Software Developern & Fachexperten
Proaktive Identifikation von Trends im Bereich Data Science & mathematischer Optimierung, sowie Aufbau eines fundierten Überblicks über marktgängige Tools zur Aufgabenplanung & Routenoptimierung
Qualifikationen
Erfolgreich abgeschlossenes Studium der Informatik, Physik, Mathematik, Statistik, VWL oder eine vergleichbare Qualifikation
Mind.
3 Jahre Praxiserfahrung im Einsatz von Data-Science- und Optimierungsmethoden im Unternehmens- oder Beratungsumfeld
Fundiertes Fachwissen im Bereich mathematischer Optimierung & Machine Learning, idealerweise mit Schwerpunkt auf Forecasting und Routenplanung
Sicherer Umgang mit der Programmierung in Python im Data Science Umfeld und bei der Visualisierung von Daten
Wünschenswert sind Erfahrungen mit MS Azure und Azure DevOps, Datenbankmanagementsystemen (bspw.
MS SQL Server) und/oder Grundlagen der Softwareentwicklung
Sehr gute Deutsch- und Englischkenntnisse
Und vor allem: Begeisterung dafür, die Nutzung von Data Analytics und Artificial Intelligence im TÜV SÜD voranzutreiben!
✨ Smart • Intelligent • Private • Secure
Practice for Any Interview Q&A (AI Enabled)
Predict interview Q&A (AI Supported)
Mock interview trainer (AI Supported)
Ace behavioral interviews (AI Powered)
Record interview questions (Confidential)
Master your interviews
Track your answers (Confidential)
Schedule your applications (Confidential)
Create perfect cover letters (AI Supported)
Analyze your resume (NLP Supported)
ATS compatibility check (AI Supported)
Optimize your applications (AI Supported)
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
European Union Recommended
Institution Recommended
Institution Recommended
Researcher Recommended
IT Savvy Recommended
Trades Recommended
O*NET Supported
Artist Recommended
Researchers Recommended
Create your account
Access your account
Create your professional profile
Preview your profile
Your saved opportunities
Reviews you've given
Companies you follow
Discover employers
O*NET Supported
Common questions answered
Help for job seekers
How matching works
Customized job suggestions
Fast application process
Manage alert settings
Understanding alerts
How we match resumes
Professional branding guide
Increase your visibility
Get verified status
Learn about our AI
How ATS ranks you
AI-powered matching
Join thousands of professionals who've advanced their careers with our platform
Unlock Your Data Scientist Potential: Insight & Career Growth Guide
Real-time Data Scientist Jobs Trends in Munich, Germany (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Data Scientist in Munich, Germany using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 5275 jobs in Germany and 344 jobs in Munich. This comprehensive analysis highlights market share and opportunities for professionals in Data Scientist roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! TÜV SÜD is currently hiring and seeking a Data Scientist – Data Driven Scheduling Optimization (w/m/d) to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Data Scientist – Data Driven Scheduling Optimization (w/m/d) Jobs Munich.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at TÜV SÜD adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Data Scientist – Data Driven Scheduling Optimization (w/m/d) Jobs Germany varies, but the pay scale is rated "Standard" in Munich. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Data Scientist – Data Driven Scheduling Optimization (w/m/d) typically include Mathematical Science Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
To improve your chances of getting hired for Data Scientist – Data Driven Scheduling Optimization (w/m/d), consider enhancing your skills. Check your CV/Résumé Score with our free Resume Scoring Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.
Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Data Scientist – Data Driven Scheduling Optimization (w/m/d) interview at TÜV SÜD, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the TÜV SÜD's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
Setting up job alerts for Data Scientist – Data Driven Scheduling Optimization (w/m/d) is easy with Germany Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!