Data Scientist Consultant, GFS EMEA

Amazon; Courbevoie; Sur place; EUR 50 000 - 75 000; Plein temps

Résumé du poste

Une entreprise de technologie de pointe à Courbevoie recherche un Data Scientist pour travailler sur des projets d'IA révolutionnaires. Le candidat idéal aura une solide expérience en apprentissage automatique et en algorithmes de génération d'IA. Vous collaborerez directement avec les clients pour fournir des solutions sur mesure et serez responsable de la conception et du développement de nouvelles innovations. Des compétences en Python et des connaissances en modèles de langage sont essentielles pour ce rôle stimulant.

Prestations

Équilibre travail-vie personnel

Mentorat et opportunités de croissance de carrière

Qualifications

• Expérience avec des langages de requête et de scripting.
• Solides compétences en communication en français et en anglais.
• Expérience pratique dans la résolution de problèmes complexes.

Responsabilités

• Collaborer avec des scientifiques et architectes A.I. pour concevoir des algorithmes.
• Interagir directement avec les clients pour comprendre leurs problèmes.
• Créer et livrer des recommandations de meilleures pratiques et des tutoriels.

Connaissances

Langages de requête de données (ex : SQL)

Langages de script (ex : Python)

Apprentissage automatique

Méthodes d'apprentissage profond

Modèles de langage

Formation

PhD ou Master en informatique, ingénierie, mathématiques

Outils

TensorFlow

Keras

PyTorch

Description du poste

Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting‑edge Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center at AWS is a new strategic team that helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, data scientists, engineers, and solution architects working step‑by‑step with customers to build bespoke solutions that harness the power of generative AI.

You will work directly with customers and innovate in a fast‑paced organization that contributes to game‑changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability and customer experience.

We're looking for Data Scientists capable of using GenAI and other techniques to design, evangelize, and implement state‑of‑the‑art solutions for never‑before‑solved problems.

Do you look around corners for ways to engage and service customers? Are you passionate about using technology to solve business problems that have big customer impact?

Come build the future with us.

Key job responsibilities

As a Data Scientist you will

• Collaborate with AI / ML scientists and architects to research, design, develop and evaluate cutting‑edge generative AI algorithms to address real‑world challenges
• Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customers on adoption patterns and paths to production
• Create and deliver best practice recommendations, tutorials, blog posts, sample code and presentations adapted to technical, business and executive stakeholders
• Provide customer and market feedback to Product and Engineering teams to help define product direction

About the team

AWS Global Services includes experts from across AWS who help our customers design, build, operate and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product and the Generative AI Innovation Center. You'll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.

Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path or includes alternative experiences, don't let it stop you from applying.

Why AWS

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating; that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

Here at AWS it's in our nature to learn and be curious. Our employee‑led affinity groups foster a culture of inclusion that empowers us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth

We're continuously raising our performance bar as we strive to become Earth's best employer. That's why you'll find endless knowledge‑sharing mentorship and other career‑advancing resources here to help you develop into a better‑rounded professional.

Work / Life Balance

We value work‑life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home there's nothing we can't achieve in the cloud.

• Bachelor's or Master degree with several years of experience
• Several years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical / mathematical software (e.g. R, SAS, Matlab, etc.) experience
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high‑performance computing, neural deep learning methods and/or machine learning
• Experience in using Python and hands‑on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet
• Excellent French and English communication skills
• PhD or Master degree in computer science, engineering, mathematics, operations research or in a highly quantitative field
• Practical experience in solving complex problems in an applied environment
• Hands‑on experience with deep learning (e.g. CNN, RNN, LSTM, Transformer)
• Prior experience in training and fine‑tuning of Large Language Models (LLMs)

Amazon est un employeur engagé pour l'égalité des chances. Nous sommes convaincus qu'une main d'oeuvre diversifiée est essentielle à notre réussite. Nous prenons nos décisions de recrutement en fonction de votre expérience et de vos compétences. Nous apprécions votre envie de découvrir, d'inventer, de simplifier et de construire. La protection de votre vie privée et la sécurité de vos données constituent depuis longtemps une priorité absolue pour Amazon. Veuillez consulter notre Politique de Confidentialité pour en savoir plus sur la façon dont nous collectons, utilisons et traitons les données personnelles de nos candidats.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.