AsSenior Data Scientist you will be key contributor within our global Data Science organization shaping AI and machine learning systems that sit at the core of our marketplace platforms across Europe and Canada.
You design build andoperatemachine learning and GenAI systems that run in production and matter to the business. You work on complex ambiguous problems exercise strong technical judgment and take responsibility for outcomes - not just models. While this is a hands-on role you are also expected to influence technical direction raise the bar for engineering practices and enable other data scientists and engineers to succeed.
WHAT YOULL DO
- Own ML and GenAI systems end-to-end in production including problem framing system design deployment monitoring and continuous improvement
- Make sound architectural and methodological decisions for ML systems on AWS balancing robustness observability cost and long-term maintainability
- Partner closely with Product Engineering and Business leaders to turn ambiguous problems into ML-enabled product solutions with clear outcomes
- Operate and evolve ML systems deployed across multiple countries and markets accounting for differences in data distributions regulations and constraints
- Mentor other data scientists through hands-on technical guidance design reviews and shared ownership of systems
YOU COME WITH
- Advanced degree in Computer Science Engineering Mathematics or a comparable field
- 5 years of experience building and owning production ML systems end-to-end in a real-world environment
- Strong hands-onexpertisein Python and modern ML frameworks with the ability to shipoperate and evolve ML systems in production
- Solid experience with AWS andMLOpspractices including deployment monitoring and operating ML systems at scale
- Practical experience applying GenAI / LLMs in applied or production contexts with a clear understanding of trade-offs and limitations
- Ability to influence technical decisions through clear judgment and collaboration not formal authority
- Experience supporting and guiding more junior data scientists through hands-on collaboration code reviews and technical feedback
- Strong senseof ownership and accountability for outcomes with a pragmatic approach to trade-offs and delivery
A culture of growth.With over 50 nationalities representedwereproud to welcome people of all backgrounds to our growing community andwerealways finding new ways to help people feel welcomed and included. Hereyoullhave the toolstrainingand support you need to work in a way that suits you learn newskillsand reach your potential.
For a career where you can drive our business and shape your future apply now.
Required Experience:
Senior IC
AsSenior Data Scientist you will be key contributor within our global Data Science organization shaping AI and machine learning systems that sit at the core of our marketplace platforms across Europe and Canada.You design build andoperatemachine learning and GenAI systems that run in production and ...
AsSenior Data Scientist you will be key contributor within our global Data Science organization shaping AI and machine learning systems that sit at the core of our marketplace platforms across Europe and Canada.
You design build andoperatemachine learning and GenAI systems that run in production and matter to the business. You work on complex ambiguous problems exercise strong technical judgment and take responsibility for outcomes - not just models. While this is a hands-on role you are also expected to influence technical direction raise the bar for engineering practices and enable other data scientists and engineers to succeed.
WHAT YOULL DO
- Own ML and GenAI systems end-to-end in production including problem framing system design deployment monitoring and continuous improvement
- Make sound architectural and methodological decisions for ML systems on AWS balancing robustness observability cost and long-term maintainability
- Partner closely with Product Engineering and Business leaders to turn ambiguous problems into ML-enabled product solutions with clear outcomes
- Operate and evolve ML systems deployed across multiple countries and markets accounting for differences in data distributions regulations and constraints
- Mentor other data scientists through hands-on technical guidance design reviews and shared ownership of systems
YOU COME WITH
- Advanced degree in Computer Science Engineering Mathematics or a comparable field
- 5 years of experience building and owning production ML systems end-to-end in a real-world environment
- Strong hands-onexpertisein Python and modern ML frameworks with the ability to shipoperate and evolve ML systems in production
- Solid experience with AWS andMLOpspractices including deployment monitoring and operating ML systems at scale
- Practical experience applying GenAI / LLMs in applied or production contexts with a clear understanding of trade-offs and limitations
- Ability to influence technical decisions through clear judgment and collaboration not formal authority
- Experience supporting and guiding more junior data scientists through hands-on collaboration code reviews and technical feedback
- Strong senseof ownership and accountability for outcomes with a pragmatic approach to trade-offs and delivery
A culture of growth.With over 50 nationalities representedwereproud to welcome people of all backgrounds to our growing community andwerealways finding new ways to help people feel welcomed and included. Hereyoullhave the toolstrainingand support you need to work in a way that suits you learn newskillsand reach your potential.
For a career where you can drive our business and shape your future apply now.
Required Experience:
Senior IC
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