The AI Job Search Engine
Data Scientist - Economics(m/w/x)
Building and deploying predictive/generative AI for an automotive marketplace and fintech use cases. 3-5+ years building/deploying quantitative modeling systems, with strong economics/pricing knowledge, required. Flexible work arrangements.
Requirements
- Degree in Computer Science, Engineering, Mathematics, or equivalent practical experience
- Strong working knowledge of economics, pricing, or business operations
- 3-5+ years experience building/deploying quantitative/ML systems
- Strong hands-on skills in Python, SQL, modern ML frameworks
- Experience deploying models via APIs, AWS, or comparable cloud infrastructure
- Solid understanding of ML methods, evaluation, monitoring, MLOps
- Experience integrating ML or GenAI components into software systems
- Clear communication of complex concepts
- Curiosity, ownership mindset, drive for continuous improvement
Tasks
- Design, build, and deploy predictive and generative AI systems.
- Apply AI systems to marketplace and fintech use cases.
- Manage quantitative modeling and ML use cases end-to-end.
- Integrate ML and GenAI into scalable product systems.
- Develop data-driven solutions from product and business goals.
- Monitor model performance in production.
- Continuously improve model reliability and impact.
- Ship measurable AI-enabled features with Product and Engineering.
Work Experience
- 3 - 5 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- SQL
- ML frameworks
- APIs
- AWS
- cloud infrastructure
- MLOps
- ML
- GenAI
Benefits
Mentorship & Coaching
- Tools, training, and support
Flexible Working
- Flexible work arrangements
Learning & Development
- Skill development
Career Advancement
- Professional growth
Informal Culture
- Inclusive environment
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Data Scientist - Economics(m/w/x)
Building and deploying predictive/generative AI for an automotive marketplace and fintech use cases. 3-5+ years building/deploying quantitative modeling systems, with strong economics/pricing knowledge, required. Flexible work arrangements.
Requirements
- Degree in Computer Science, Engineering, Mathematics, or equivalent practical experience
- Strong working knowledge of economics, pricing, or business operations
- 3-5+ years experience building/deploying quantitative/ML systems
- Strong hands-on skills in Python, SQL, modern ML frameworks
- Experience deploying models via APIs, AWS, or comparable cloud infrastructure
- Solid understanding of ML methods, evaluation, monitoring, MLOps
- Experience integrating ML or GenAI components into software systems
- Clear communication of complex concepts
- Curiosity, ownership mindset, drive for continuous improvement
Tasks
- Design, build, and deploy predictive and generative AI systems.
- Apply AI systems to marketplace and fintech use cases.
- Manage quantitative modeling and ML use cases end-to-end.
- Integrate ML and GenAI into scalable product systems.
- Develop data-driven solutions from product and business goals.
- Monitor model performance in production.
- Continuously improve model reliability and impact.
- Ship measurable AI-enabled features with Product and Engineering.
Work Experience
- 3 - 5 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- SQL
- ML frameworks
- APIs
- AWS
- cloud infrastructure
- MLOps
- ML
- GenAI
Benefits
Mentorship & Coaching
- Tools, training, and support
Flexible Working
- Flexible work arrangements
Learning & Development
- Skill development
Career Advancement
- Professional growth
Informal Culture
- Inclusive environment
About the Company
AutoScout24
Industry
IT
Description
The company is a high-growth organization in the digital automotive marketplace.
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