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Data Scientist - Economics(m/w/x)
Full-timeOn-siteExperienced
München
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TRTRADER
Data Scientist(m/w/x)
München
Full-timeOn-siteExperienced
AI/ML
Data Science
Nejo AI Summary
End-to-end predictive and generative AI model development for digital automotive product features at a Canadian automotive solutions provider. Advanced academic credentials in a quantitative field and AWS experience required. AWS cloud infrastructure for model deployment.
Requirements
- Advanced academic credentials in a quantitative field
- 3-5 years of experience in data science, machine learning, or applied AI
- Strong programming skills in Python and SQL
- Experience with machine learning algorithms
- Hands-on experience with cloud infrastructure (AWS)
- Understanding of MLOps concepts
- Experience with model deployment through APIs
- Good communication skills
- Experience working in agile product development environments
- Experience with GenAI/LLM technologies
- Experience in e-commerce or high-scale consumer platforms
- Familiarity with automotive data applications
- Contributions to open-source AI/ML projects
- Experience leveraging AI and Generative AI
- Passion, curiosity, and a growth mindset
Tasks
- Design and implement predictive and generative AI models
- Translate strategic goals into data-driven solutions
- Own end-to-end model development for product features
- Extract actionable insights from large datasets
- Present findings to technical and non-technical audiences
- Support scalable ML infrastructure using cloud-native tools
- Facilitate efficient model training and deployment
- Take ownership of model performance metrics
- Conduct regular evaluations and communicate results
- Lead technical discussions during team reviews
- Advocate for best practices in code quality and model design
- Participate in code reviews to improve team practices
- Propose creative solutions to complex business problems
- Contribute to exploration of GenAI applications
- Identify use cases and support integration
Work Experience
3 - 5 years
Education
Master's degree
Languages
English – Business Fluent
Tools & Technologies
PythonSQLAWSscikit-learnTensorFlowPyTorchDockerJenkinsAirflowFlaskFastAPIHugging FaceLangChain
Benefits
Bonuses & Incentives
- •Annual bonus structure
Retirement Plans
- •3% CPP matching
Corporate Discounts
- •Gym discounts
Mental Health Support
- •Employee and Family Assistance program
- •Weekly virtual wellness events
Additional Allowances
- •Conferences & training budget
Learning & Development
- •Regular internal training programs
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of TRADER 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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TRTRADER
Data Scientist(m/w/x)
München
Full-timeOn-siteExperienced
AI/ML
Data Science
Nejo AI Summary
End-to-end predictive and generative AI model development for digital automotive product features at a Canadian automotive solutions provider. Advanced academic credentials in a quantitative field and AWS experience required. AWS cloud infrastructure for model deployment.
Requirements
- Advanced academic credentials in a quantitative field
- 3-5 years of experience in data science, machine learning, or applied AI
- Strong programming skills in Python and SQL
- Experience with machine learning algorithms
- Hands-on experience with cloud infrastructure (AWS)
- Understanding of MLOps concepts
- Experience with model deployment through APIs
- Good communication skills
- Experience working in agile product development environments
- Experience with GenAI/LLM technologies
- Experience in e-commerce or high-scale consumer platforms
- Familiarity with automotive data applications
- Contributions to open-source AI/ML projects
- Experience leveraging AI and Generative AI
- Passion, curiosity, and a growth mindset
Tasks
- Design and implement predictive and generative AI models
- Translate strategic goals into data-driven solutions
- Own end-to-end model development for product features
- Extract actionable insights from large datasets
- Present findings to technical and non-technical audiences
- Support scalable ML infrastructure using cloud-native tools
- Facilitate efficient model training and deployment
- Take ownership of model performance metrics
- Conduct regular evaluations and communicate results
- Lead technical discussions during team reviews
- Advocate for best practices in code quality and model design
- Participate in code reviews to improve team practices
- Propose creative solutions to complex business problems
- Contribute to exploration of GenAI applications
- Identify use cases and support integration
Work Experience
3 - 5 years
Education
Master's degree
Languages
English – Business Fluent
Tools & Technologies
PythonSQLAWSscikit-learnTensorFlowPyTorchDockerJenkinsAirflowFlaskFastAPIHugging FaceLangChain
Benefits
Bonuses & Incentives
- •Annual bonus structure
Retirement Plans
- •3% CPP matching
Corporate Discounts
- •Gym discounts
Mental Health Support
- •Employee and Family Assistance program
- •Weekly virtual wellness events
Additional Allowances
- •Conferences & training budget
Learning & Development
- •Regular internal training programs
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of TRADER 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
TRADER
Industry
Automotive
Description
The company is a Canadian leader in digital automotive solutions, helping Canadians buy, sell, and finance vehicles with confidence.
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