SIXT
Senior Data Scientist – Operations Research(m/w/x)
Full-timeWith HomeofficeManagement
München
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SISIXT
Senior Data Scientist Workforce Optimization(m/w/x)
München
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
Designing and refining time series prediction and capacity optimization solutions for workforce planning at a global mobility service provider. Resource planning, scheduling, and capacity optimization experience required. 30 days vacation, vehicle leasing offers.
Requirements
- Experience in resource planning, scheduling, capacity optimization
- Proficiency in modern ML techniques
- Analytical depth and business acumen
- Ability to translate complex business problems
- Clear communication of findings
- Expertise in Python for data analysis, modelling, deployment
- Experience with version control systems (e.g., Git)
- Experience with cloud technologies (preferably AWS)
- Efficient interaction with stakeholders
Tasks
- Translate business problems into technical solutions
- Design, develop, refine, and test time series prediction solutions
- Design, develop, refine, and test capacity optimization solutions
- Design, develop, refine, and test time models
- Understand operational dynamics
- Build models balancing service levels and resource efficiency
- Apply models across tactical and strategic planning horizons
- Stay updated on forecasting techniques and optimizations research
- Apply classical or greedy solutions when relevant
- Collaborate with stakeholders, MLOps engineers, and developers
- Deploy end-to-end solutions
- Continuously improve models
Work Experience
approx. 4 - 6 years
Education
Master's degree
Languages
English – Business Fluent
Tools & Technologies
constraint programminglinear/integer programmingheuristic optimization methodstime series forecastingregressionoptimization algorithmsreinforcement learningPythonGitAWS
Benefits
More Vacation Days
- •30 days of vacation
Flexible Working
- •Hybrid working model
- •Flexible hours
Corporate Discounts
- •SIXT discounts
- •Exclusive partner deals
Company Vehicle
- •Vehicle leasing offers
Additional Allowances
- •Monthly mobility allowance (€20)
Retirement Plans
- •Retirement plan contribution
Other Benefits
- •Capital-forming benefits
Healthcare & Fitness
- •Modern SIXT gym
Team Events
- •Leisure activities
Free or Subsidized Food
- •Employee restaurant
Social Impact
- •Volunteer day
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of SIXT 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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SISIXT
Senior Data Scientist Workforce Optimization(m/w/x)
München
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
Designing and refining time series prediction and capacity optimization solutions for workforce planning at a global mobility service provider. Resource planning, scheduling, and capacity optimization experience required. 30 days vacation, vehicle leasing offers.
Requirements
- Experience in resource planning, scheduling, capacity optimization
- Proficiency in modern ML techniques
- Analytical depth and business acumen
- Ability to translate complex business problems
- Clear communication of findings
- Expertise in Python for data analysis, modelling, deployment
- Experience with version control systems (e.g., Git)
- Experience with cloud technologies (preferably AWS)
- Efficient interaction with stakeholders
Tasks
- Translate business problems into technical solutions
- Design, develop, refine, and test time series prediction solutions
- Design, develop, refine, and test capacity optimization solutions
- Design, develop, refine, and test time models
- Understand operational dynamics
- Build models balancing service levels and resource efficiency
- Apply models across tactical and strategic planning horizons
- Stay updated on forecasting techniques and optimizations research
- Apply classical or greedy solutions when relevant
- Collaborate with stakeholders, MLOps engineers, and developers
- Deploy end-to-end solutions
- Continuously improve models
Work Experience
approx. 4 - 6 years
Education
Master's degree
Languages
English – Business Fluent
Tools & Technologies
constraint programminglinear/integer programmingheuristic optimization methodstime series forecastingregressionoptimization algorithmsreinforcement learningPythonGitAWS
Benefits
More Vacation Days
- •30 days of vacation
Flexible Working
- •Hybrid working model
- •Flexible hours
Corporate Discounts
- •SIXT discounts
- •Exclusive partner deals
Company Vehicle
- •Vehicle leasing offers
Additional Allowances
- •Monthly mobility allowance (€20)
Retirement Plans
- •Retirement plan contribution
Other Benefits
- •Capital-forming benefits
Healthcare & Fitness
- •Modern SIXT gym
Team Events
- •Leisure activities
Free or Subsidized Food
- •Employee restaurant
Social Impact
- •Volunteer day
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of SIXT 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.
About the Company
SIXT
Industry
Transportation
Description
The company is a globally leading mobility service provider offering car rental, car sharing, taxi services, and car subscriptions.
Not a perfect match?
- SIXT
Senior Data Scientist – Operations Research(m/w/x)
Full-timeWith HomeofficeManagementMünchen - SIXT
Senior MLOps Engineer(m/w/x)
Full-timeWith HomeofficeSeniorMünchen - SIXT
Data Science Manager Finance(m/w/x)
Full-timeWith HomeofficeManagementMünchen - SIXT
Director Fleet Intelligence & Optimization Lead(m/w/x)
Full-timeWith HomeofficeManagementMünchen - SIXT
Machine Learning Engineering Manager(m/w/x)
Full-timeWith HomeofficeManagementMünchen