Amazon Web Services (AWS)

Data Scientist - ProServe, Global Financial Servic...

Job description

Job Summary

DESCRIPTION

Want to help the largest global enterprises derive business value through the adoption of Artificial Intelligence (AI) and Machine Learning (ML)? Excited by using massive amounts of disparate data to develop ML models? Eager to learn to apply ML to a diverse array of enterprise use cases? Thrilled to be a part of Amazon who has been pioneering and shaping the world’s AI/ML technology for decades?

At Amazon Web Services (AWS), we are helping large enterprises build ML models on the AWS Cloud. We are applying predictive technology to large volumes of data and against a wide spectrum of problems. AWS Professional Services works together with AWS customers to address their business needs using AI solutions.

AWS Professional Services is a unique consulting team. We pride ourselves on being customer obsessed and highly focused on the AI enablement of our customers. If you have experience with AI, including building ML models, we’d like to have you join our team. You will get to work with an innovative company, with great teammates, and have a lot of fun helping our customers. A successful candidate will be a person who enjoys diving deep into data, doing analysis, discovering root causes, and designing long-term solutions.

Inclusive Team Culture

Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have thirteen employee-led affinity groups, reaching 85,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Work/Life Balance

Our team puts a high value on work-life harmony. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here. We are a customer-obsessed organization—leaders start with the customer and work backwards. They work vigorously to earn and keep customer trust. As such, this is a customer facing role in a hybrid delivery model. Project engagements include remote delivery methods and onsite engagement that will include travel to customer locations as needed.

Mentorship & Career Growth

Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.

This is a customer-facing role and you will be required to travel to client locations and deliver professional services as needed.

Major Responsibilities Include
  • Assist customers by being able to deliver a ML project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models with concept-drift monitoring and retraining to deliver business impact to the organization
  • Use AWS AI services (e.g., Personalize), ML platforms (SageMaker), and frameworks (e.g., MXNet, TensorFlow, PyTorch, SparkML, scikit-learn) to help our customers build ML models
  • Research and implement novel ML approaches, including hardware optimizations on platforms such as AWS Inferentia
  • Work with our other Professional Services consultants (Big Data, IoT, HPC) to analyze, extract, normalize, and label relevant data, and with our Professional Services engineers to operationalize customers’ models after they are prototyped
About The Team

Why GFS ProServe?

Our mission is to help the largest 60 Financial Services customers transform their business using AWS. Our customers such as JP Morgan Chase, and Goldman Sachs have been keynote speakers for last two re:Invents. In Continental Europe, we are a very diverse team; we speak more languages than any other GFS team. We get to work on both local and international projects. We are helping customers innovate their digital payments, core banking, trading, and insurance platforms with AI/ML, data analytics, microservices, and DevOps. A lot of us were hired during Covid times, but we have built strong bonds over diverse languages, cuisines, Spotify playlists, Euro Cup, and at times arts and craft. In the end, we see ourselves as one family, and we would love to welcome you to our team.


Basic Qualifications
  • Bachelor’s degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent professional or military experience
  • Experience with ML fields, e.g., natural language processing, computer vision, statistical learning theory
  • 4+ years of industry experience in predictive modeling, data science, and analysis
  • Experience in an ML engineer or data scientist role building and deploying ML models or hands on experience developing deep learning models
  • Experience writing code in Python, R, Scala, Java, C++ with documentation for reproducibility
  • Experience handling terabyte size datasets, diving into data to discover hidden patterns, using data visualization tools, writing SQL, and working with GPUs to develop models
  • Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations
Preferred Qualifications
  • Master’s degree of PhD in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.)
  • Ability to develop strategic, baselined, data modeling processes; ability to accurately determine cause-and-effect relationships.
  • Publications or presentations in recognized ML journals or conferences
  • Deep technical skills, consulting experience, and business savvy to interface with all levels and disciplines within our customers’ organization
  • Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment
Amazon est un employeur engagé pour l'égalité des chances. Nous sommes convaincus qu'une main d'oeuvre diversifée 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.


Company - AWS EMEA SARL (France Branch)

Job ID: A2185765

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