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NLP
Staff Machine Learning Scientist – NLP Contract
Job Description:
Description
We are looking for a highly motivated Staff Machine Learning Scientist (NLP) to join our growing AI Center of Excellence team, responsible for using machine learning and natural language processing to drive innovation across the organization and accelerate positive impact on our planet and society. You will be part of the team of 20 scientists and engineers delivering solutions for our product portfolio and enhancing operational excellence.
Your global responsibilities will include (but will not be limited to):
Qualifications
Education and experience
Skills, abilities and work standards:
Additional Information
Our growing team in Spain is full of talented professionals from various fields who all share a desire to make sustainability real. We offer competitive salaries and support personal growth from day one.
This includes extensive onboarding, teammates’ support and a brand new e-learning platform bursting with courses and modules. So you can learn new skills and fine-tune old ones!
In return for your expertise and energy, we offer:
Working organization benefits:
Compensation benefits:
Wellness and Healthcare benefits:
More:
Our hiring team looks forward to reviewing your CV and cover letter with a guaranteed response to every application. A new job with purpose awaits you!
Don’t fit all the criteria but still think you’d be a good candidate?  Please apply anyway to give our hiring team the opportunity to assess your skills and to learn more about what you could bring to EcoVadis. We’re interested in hiring capable people, regardless of professional and educational background.
Can the hiring process be adjusted to suit my needs? Yes. We want everyone going through the hiring process with EcoVadis to feel confident that you are able to demonstrate your full potential. We welcome applications from disabled people, people with long-term health conditions, and neurodiverse candidates. If you need any adjustments, including the provision of interview questions, please let the hiring team know.
Description
We are looking for a highly motivated Staff Machine Learning Scientist (NLP) to join our growing AI Center of Excellence team, responsible for using machine learning and natural language processing to drive innovation across the organization and accelerate positive impact on our planet and society. You will be part of the team of 20 scientists and engineers delivering solutions for our product portfolio and enhancing operational excellence.
Your global responsibilities will include (but will not be limited to):
Qualifications
Education and experience
Skills, abilities and work standards:
Additional Information
Our growing team in Spain is full of talented professionals from various fields who all share a desire to make sustainability real. We offer competitive salaries and support personal growth from day one.
This includes extensive onboarding, teammates’ support and a brand new e-learning platform bursting with courses and modules. So you can learn new skills and fine-tune old ones!
In return for your expertise and energy, we offer:
Working organization benefits:
Compensation benefits:
Wellness and Healthcare benefits:
More:
Our hiring team looks forward to reviewing your CV and cover letter with a guaranteed response to every application. A new job with purpose awaits you!
Don’t fit all the criteria but still think you’d be a good candidate?  Please apply anyway to give our hiring team the opportunity to assess your skills and to learn more about what you could bring to EcoVadis. We’re interested in hiring capable people, regardless of professional and educational background.
Can the hiring process be adjusted to suit my needs? Yes. We want everyone going through the hiring process with EcoVadis to feel confident that you are able to demonstrate your full potential. We welcome applications from disabled people, people with long-term health conditions, and neurodiverse candidates. If you need any adjustments, including the provision of interview questions, please let the hiring team know.
