Data Scientist, AWS Industries...

Job ID: 2916032 | AWS EMEA SARL (UK Branch) - F93 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 AWS
Industries Team at AWS helps AWS customers implement Generative AI
solutions and realize transformational business opportunities for
AWS customers in the most strategic industry verticals. This is a
team of data scientists, engineers, and architects working
step-by-step with customers to build bespoke solutions that harness
the power of generative AI. The team helps customers imagine and
scope the use cases that will create the greatest value for their
businesses, select and train and fine tune the right models, define
paths to navigate technical or business challenges, develop
proof-of-concepts, and build applications to launch these solutions
at scale. The AWS Industries team provides guidance and implements
best practices for applying generative AI responsibly and cost
efficiently. 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. In this Data Scientist role
you will be capable of using GenAI and other techniques to design,
evangelize, and implement and scale cutting-edge solutions for
never-before-solved problems. Key job responsibilities 1.
Collaborate with AI/ML scientists, engineers, and architects to
research, design, develop, and evaluate cutting-edge generative AI
algorithms and build ML systems to address real-world challenges.
2. 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 customer on adoption patterns and paths to production. 3.
Create and deliver best practice recommendations, tutorials, blog
posts, publications, sample code, and presentations adapted to
technical, business, and executive stakeholder. 4. Provide customer
and market feedback to Product and Engineering teams to help define
product direction. BASIC QUALIFICATIONS 1. 2+ years of data
scientist experience and 3+ years of data querying languages (e.g.
SQL), scripting languages (e.g. Python) or statistical/mathematical
software (e.g. R, SAS, Matlab, etc.) experience. 2. 3+ years of
machine learning/statistical modeling data analysis tools and
techniques, and parameters that affect their performance
experience. 3. Experience applying theoretical models in an applied
environment. 4. Bachelor's degree in a quantitative field such as
statistics, mathematics, data science, business analytics,
economics, finance, engineering, or computer science. PREFERRED
QUALIFICATIONS 1. PhD in a quantitative field such as statistics,
mathematics, data science, business analytics, economics, finance,
engineering, or computer science. 2. 5+ years of machine
learning/statistical modeling data analysis tools and techniques,
and parameters that affect their performance experience. 3. Hands
on experience with deep learning (e.g., CNN, RNN, LSTM,
Transformer). 4. Prior experience in training and fine-tuning of
Large Language Models (LLMs) and knowledge of AWS platform and
tools. Amazon is an equal opportunities employer. We believe
passionately that employing a diverse workforce is central to our
success. We make recruiting decisions based on your experience and
skills. We value your passion to discover, invent, simplify and
build. Protecting your privacy and the security of your data is a
longstanding top priority for Amazon. Please consult our Privacy
Notice (https://www.amazon.jobs/en/privacy_page) to know more
about how we collect, use and transfer the personal data of our
candidates. Amazon is committed to a diverse and inclusive
workplace. Amazon is an equal opportunity employer and does not
discriminate on the basis of race, national origin, gender, gender
identity, sexual orientation, protected veteran status, disability,
age, or other legally protected status. 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
https://amazon.jobs/content/en/how-we-hire/accommodationsfor more
information. If the country/region you’re applying in isn’t listed,
please contact your Recruiting Partner.
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