Emploi

Trouvez facilement votre premier job

Découvrir

L'actualité professionnelle des 18-30 ans

Découvrir
Finance

Découvrez les aides financières auxquelles vous êtes éligible

Découvrir
Santé

La mutuelle qui prend soin de la santé des jeunes

Découvrir
Mobilité

Révisez le code de la route à partir de 9,90€

Découvrir
Logement

L'assurance habitation sans engagement dédiée aux jeunes

Découvrir

Offers “Amazon”

Expires soon Amazon

Data Scientist; Enviro, Health, & Safety

  • Bangalore ( Bangalore Urban )
  • Personal services

Job description



DESCRIPTION

Amazon's Worldwide (WW) Environment, Health and Safety (EHS) organization is changing the way we think about our workplace, so that we can keep our associates healthy and safe, while also protecting the environment. We have just started scratching the surface in terms of possibilities, and are exploring everything from using devices to monitor and improve health, to linking together data from our buildings and devices to predict safety-related events. Our team is reinventing the way Amazon anticipates, assesses, and manages workplace hazards and risks. So, if creating industry-first products and solutions interests you, then this might be the role for you.

The EHS Data Scientist role will work closely with our global EHS Strategy team to perform multi-layered research and analysis to build deep understanding of the space, and to enhance processes with data-based frameworks that predict workplace risks. Broadly, this person will work with our teams to optimize our global environment, health and safety processes in several ways – from anticipating hazards that could impact people or the environment, to testing hypotheses on specific problems that have been notoriously difficult to solve, and in building machine learning into automation to continuously optimize throughput.

If you are a mental athlete who runs towards big problems and can repeatedly surmount challenging obstacles then join us. The ideal candidate is a self-starter, and can work efficiently in a fast-paced environment. The candidate has strong technical background and documented experience of working with complex and large datasets. The candidate has proven experience in partnering with business and technical teams. The successful candidate puts customer first, and has an impressive drive for results. The candidate must be skilled at anticipating and resolving problems, managing multiple priorities, and communicating effectively with different levels of the organization.

Ideal candidate profile



BASIC QUALIFICATIONS

- Bachelor's degree in Computer Science, Operations Research, or Math/Statistics
- Master's degree and/or PhD
- 5+ years of experience in data science or machine learning
- Experience in working with multi-dimensional data
- Top notch communication skills, to convey key insights from complex analysis
- Ability to diagnose problems and/or customer requirements and translate them
into analysis/product roadmap
- Impeccable attention to detail
- Ability to deal with ambiguity and competing objectives