Data Scientist Ii

DESCRIPTION AWS Infrastructure Services owns the design planning delivery and operation of all AWS global infrastructure In other words we re the people who keep the cloud running We support all AWS data centers and all of the servers storage networking power and cooling equipment that ensure our customers have continual access to the innovation they rely on We work on the most challenging problems with thousands of variables impacting the supply chain - and we re looking for talented people who want to help You ll join a diverse team of software hardware and network engineers supply chain specialists security experts operations managers and other vital roles You ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers And you ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion Do you love problem solving Are you looking for real world Supply Chain challenges Do you have a desire to make a major contribution to the future in the rapid growth environment of Cloud Computing Amazon Web Services is looking for a highly motivated Data Scientist to help build scalable predictive and prescriptive business analytics solutions that supports AWS Supply Chain and Procurement organization You will be part of the Supply Chain Analytics team working with Global Stakeholders Data Engineers Business Intelligence Engineers and Business Analysts to achieve our goals We are seeking an innovative and technically strong data scientist with a background in optimization machine learning and statistical modeling analysis This role requires a team member to have strong quantitative modeling skills and the ability to apply optimization statistical machine learning methods to complex decision-making problems with data coming from various data sources The candidate should have strong communication skills be able to work closely with stakeholders and translate data-driven findings into actionable insights The successful candidate will be a self-starter comfortable with ambiguity with strong attention to detail and ability to work in a fast-paced and ever-changing environment Key job responsibilities 1 Demonstrate thorough technical knowledge on feature engineering of massive datasets effective exploratory data analysis and model building using industry standard time Series Forecasting techniques like ARIMA ARIMAX Holt Winter and formulate ensemble model 2 Proficiency in both Supervised Linear Logistic Regression and UnSupervised algorithms k means clustering Principle Component Analysis Market Basket analysis 3 Experience in solving optimization problems like inventory and network optimization Should have hands on experience in Linear Programming 4 Work closely with internal stakeholders like the business teams engineering teams and partner teams and align them with respect to your focus area 5 Detail-oriented and must have an aptitude for solving unstructured problems You should work in a self-directed environment own tasks and drive them to completion 6 Excellent business and communication skills to be able to work with business owners to develop and define key business questions and to build data sets that answer those questions 7 Work with distributed machine learning and statistical algorithms to harness enormous volumes of data at scale to serve our customers About the team Diverse Experiences Amazon values diverse experiences Even if you do not meet all of the preferred 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 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 Inclusive Team Culture AWS values curiosity and connection Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique Our inclusion events foster stronger more collaborative teams Our continual innovation is fueled by the bold ideas fresh perspectives and passionate voices our teams bring to everything we do Mentorship and 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 BASIC QUALIFICATIONS - 5 years of data scientist experience - 4 years of data querying languages e g SQL scripting languages e g Python or statistical mathematical software e g R SAS Matlab etc experience - 3 years of machine learning statistical modeling data analysis tools and techniques and parameters that affect their performance experience - Experience applying theoretical models in an applied environment PREFERRED QUALIFICATIONS - Experience in Python Perl or another scripting language - Experience in a ML or data scientist role with a large technology company - Functional knowledge of AWS platforms such as S3 Glue Athena Sagemaker Lambda EC2 Batch Step Function - Experience in creating powerful data driven visualizations to describe your ML modeling results to stakeholders 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