DKV Mobility
Senior Data Scientist(m/w/x)
Full-time/Part-timeWith HomeofficeSenior
Ratingen
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TRtrivago
Data Scientist - Price(m/w/x)
Düsseldorf
Full-timeWith Home OfficeSenior
Data Science
Nejo AI Summary
Designing hotel deal discovery algorithms and optimizing pricing strategies with real-time ML models. 5+ years industry experience delivering production ML models required. Personalized coaching, workshops, and conference attendance.
Requirements
- 5+ years industry experience delivering impactful analyses and production ML models
- Advanced degree (MSc or PhD) in quantitative field
- Expertise building, deploying, maintaining ML models in production
- Strong foundation in experimental design, statistical testing, A/B testing
- Practical experience with time series, optimization, pricing, recommendations, forecasting
- Expert-level Python or R (pandas, scikit-learn), SQL, cloud platforms (GCP)
- Experience in dynamic pricing, yield management, revenue optimization
- Background in reinforcement learning, bandits, sequential decision-making
- Production experience with real-time systems, high-throughput ML serving
- Strong mathematical foundations and problem-solving skills
- Motivation for role
Tasks
- Design algorithms for hotel deal discovery
- Optimize pricing strategies using data-driven insights
- Develop and deploy real-time ML models for price prediction
- Create caching optimization models for efficient data serving
- Design and implement A/B tests for pricing experiments
- Define and measure performance metrics for experiments
- Translate business problems into technical solutions
- Collaborate with product and engineering teams
- Communicate data insights to stakeholders
- Mentor junior data scientists in technical and analytical skills
Work Experience
- 5 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- R
- pandas
- scikit-learn
- SQL
- GCP
- big data technologies
Benefits
Mentorship & Coaching
- Personalized coaching
Learning & Development
- Workshops
- Educational meetups
- Conferences
- Online learning courses
- Free language classes
Other Benefits
- Campus library access
- Visa support
- Interest-free newcomer loan
- Focused work areas
Additional Allowances
- Relocation package
Team Events
- Team events
- Company-wide events
More Vacation Days
- Self-determined vacation
Flexible Working
- Flexible working hours
- Up to 2 work from home days weekly
Workation & Sabbatical
- Remote work from different location (within Germany or selected countries abroad) for up to 20 days per year
Healthcare & Fitness
- Free access to Heycare platform
- On-site gym
- Sports classes
- Urban Sports Club membership
Childcare
- Personalized nanny assistance
- On-campus kids room
Free or Subsidized Food
- Daily canteen budget
Snacks & Drinks
- Complimentary snacks and drinks
Ergonomic Workplace
- Ergonomic desks
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of trivago 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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TRtrivago
Data Scientist - Price(m/w/x)
Düsseldorf
Full-timeWith Home OfficeSenior
Data Science
Nejo AI Summary
Designing hotel deal discovery algorithms and optimizing pricing strategies with real-time ML models. 5+ years industry experience delivering production ML models required. Personalized coaching, workshops, and conference attendance.
Requirements
- 5+ years industry experience delivering impactful analyses and production ML models
- Advanced degree (MSc or PhD) in quantitative field
- Expertise building, deploying, maintaining ML models in production
- Strong foundation in experimental design, statistical testing, A/B testing
- Practical experience with time series, optimization, pricing, recommendations, forecasting
- Expert-level Python or R (pandas, scikit-learn), SQL, cloud platforms (GCP)
- Experience in dynamic pricing, yield management, revenue optimization
- Background in reinforcement learning, bandits, sequential decision-making
- Production experience with real-time systems, high-throughput ML serving
- Strong mathematical foundations and problem-solving skills
- Motivation for role
Tasks
- Design algorithms for hotel deal discovery
- Optimize pricing strategies using data-driven insights
- Develop and deploy real-time ML models for price prediction
- Create caching optimization models for efficient data serving
- Design and implement A/B tests for pricing experiments
- Define and measure performance metrics for experiments
- Translate business problems into technical solutions
- Collaborate with product and engineering teams
- Communicate data insights to stakeholders
- Mentor junior data scientists in technical and analytical skills
Work Experience
- 5 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- R
- pandas
- scikit-learn
- SQL
- GCP
- big data technologies
Benefits
Mentorship & Coaching
- Personalized coaching
Learning & Development
- Workshops
- Educational meetups
- Conferences
- Online learning courses
- Free language classes
Other Benefits
- Campus library access
- Visa support
- Interest-free newcomer loan
- Focused work areas
Additional Allowances
- Relocation package
Team Events
- Team events
- Company-wide events
More Vacation Days
- Self-determined vacation
Flexible Working
- Flexible working hours
- Up to 2 work from home days weekly
Workation & Sabbatical
- Remote work from different location (within Germany or selected countries abroad) for up to 20 days per year
Healthcare & Fitness
- Free access to Heycare platform
- On-site gym
- Sports classes
- Urban Sports Club membership
Childcare
- Personalized nanny assistance
- On-campus kids room
Free or Subsidized Food
- Daily canteen budget
Snacks & Drinks
- Complimentary snacks and drinks
Ergonomic Workplace
- Ergonomic desks
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of trivago 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.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
trivago
Industry
Tourism
Description
The company compares prices from major booking sites to help travelers find hotels at great prices.
Not a perfect match?
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