Data Scientist, ProServe Public Sector

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, AWS, Machine learning techniques, Deep Learning, R Programming, Amazon RedShift, CSS3, Amazon Elastic Compute Cloud-EC2, SparkML

Job Description

Job summary

Excited by using massive amounts of data to develop Machine Learning (ML) and Deep Learning (DL) models? Want to help the largest global enterprises derive business value through the adoption of Artificial Intelligence (AI)? Eager to learn from many different enterprise’s use cases of AWS ML and DL? Thrilled to be key part of Amazon, who has been investing in Machine Learning for decades, pioneering and shaping the world’s AI technology?

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

AWS Professional Services (ProServe) 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 or DL 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.

You enjoy diving deep into data, doing analysis, discovering root causes, and designing long-term solutions. You like to have fun, love to learn, and want to innovate in the world of AI.

Key job responsibilities

• Understand the customer’s business need and guide them to a solution using our AWS AI Services, AWS AI Platforms, AWS AI Frameworks, and AWS AI EC2 Instances .
• Assist customers by being able to deliver a ML / DL project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization.
• Use Deep Learning frameworks like MXNet, Caffe 2, Tensorflow, Theano, CNTK, and Keras to help our customers build DL models.
• Use SparkML and Amazon Machine Learning (AML) to help our customers build ML models.
• Work with our Professional Services Big Data consultants to analyze, extract, normalize, and label relevant data.
• Work with our Professional Services DevOps consultants to help our customers operationalize models after they are built.
• Assist customers with identifying model drift and retraining models.
• Research and implement novel ML and DL approaches, including using FPGA.
• Be able to write production level code, which is well-written and explainable
• Have experience using ML libraries, such as scikit-learn, caret, mlr, mllib
• Have experience working with GPUs to develop models
• Have experience handling terabyte size datasets
• Be able to track record of diving into data to discover hidden patterns
• Have familiarity with using data visualization tools
• Have knowledge and experience of writing and tuning SQL
• Past and current experience writing and speaking about complex technical concepts to broad audiences in a simplified format

BASIC QUALIFICATIONS

• A Bachelor or Masters Degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent experience
• Consulting experience and track record of helping customers with their AI needs
• 5+ years of industry experience in predictive modeling, data science and analysis working with large customers
• Previous experience in a ML or data scientist role and a track record of building ML or DL models
• Experience using Python and/or R
• Knowledge of SparkML

PREFERRED QUALIFICATIONS

• PhD in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.)
• Good skills with programming languages, such as Java or C/C++
• Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations
• Publications or presentation in recognized Machine Learning, Deep Learning and Data Mining journals/conferences
• Experience with AWS technologies like Redshift, S3, EC2, Data Pipeline, & EMR
• Combination of deep technical skills and business savvy enough to interface with all levels and disciplines within our customer’s organization
• Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment

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.