Data Scientist - Nationwide Opportunities

Amazon.Com, Inc. Kansas City , MO 64126

Posted 2 months ago

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? Zealous 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 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 on our team. You will get to work with an innovative company, with great teammates, and have a lot of fun helping our customers.

This role will focus specifically on AWS' most complex and largest customers in the world to help solve a wide range of business problems. Consultants will provide deep and broad insight to customers and partners to help remove constraints that prevent them from leveraging AWS services to create strategic value.

A successful candidate will be a person who enjoys diving deep into data, doing analysis, discovering root causes, and designing long-term solutions. It will be a person who likes to have fun, loves to learn, and wants to innovate in the world of AI.

Major responsibilities include:

  • 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.

  • This is a customer facing role. You will be required to travel to client locations and deliver professional services when needed.

Note: If you do not live in a market where we have an open Data Scientist position, please feel free to apply. Our Data Scientists can live in any location that has an AWS office.

icon no score

See how you match
to the job

Find your dream job anywhere
with the LiveCareer app.
Mobile App Icon
Download the
LiveCareer app and find
your dream job anywhere
App Store Icon Google Play Icon

Boost your job search productivity with our
free Chrome Extension!

lc_apply_tool GET EXTENSION

Similar Jobs

Want to see jobs matched to your resume? Upload One Now! Remove
Data Scientist

H&R Block, Inc.

Posted 1 week ago

VIEW JOBS 11/13/2019 12:00:00 AM 2020-02-11T00:00 Job Description JOB SUMMARY Conducts analysis with a focus on experimental design, assessment, execution, measurement of current programs, evaluation of proposed programs, behavioral analysis, data mining, customer segmentation, predictive modeling, site selection, performance management, and other relevant statistical analyses. Serves as an internal consultant in identifying opportunities to improve decision making through the application of analytical concepts and techniques. JOB DUTIES * Consults with internal clients to understand proposed programs. Conducts appropriate analyses to estimate program impacts. * Consults with internal clients to understand how each program will be executed with the customer. Identifies issues that may affect program measurement. Provides appropriate lead lists to support program execution. * Develops detailed measurement and analysis plans, including experimental design, data needed, task lists, and timing for each Marketing and/or Operations program. Collaborates with Financial Analysis to ensure program business case metrics and assumptions are in line with measurement plans. * Executes measurement and analysis plans, providing accurate and comprehensive analyses of consumer response to programs, as well as revenue and profitability impacts, key findings and recommendations. * Identifies needs for future analysis and modeling support. Anticipates data requirements and ensures required data is available to support current and future analysis. * Conducts data mining to provide customer profiling, behavioral analysis, performance management analysis, targeting and segmentation as needed in support of business initiatives. * Conducts business analyses that support management decision-making relative to client marketing and retail operations. * Applies appropriate techniques to develop models that support marketing and operations efforts as well as business decisions. * Utilizes model results to recommend appropriate targets for marketing campaigns and operations programs. Implements scoring algorithms. Tracks model performance. * Designs and creates usable data models. Recommends new strategies for promotions and pricing. * Other duties as assigned. JOB REQUIREMENTS * Master's degree in Statistics, Mathematics, Economics, Operations Research, or other related field or an equivalent combination of education and experience. * A minimum of two years model development, statistical methodologies, or quantitative analysis experience in the financial services industry. * Knowledge of principles and techniques of statistics. * Knowledge of statistical modeling principles, concepts and techniques. * Knowledge of principles, practices and techniques of database marketing. * Proficiency with in SAS with an emphasis on statistical analysis, programming, data manipulation and data quality management skills. * Strong statistical and quantitative analysis skills. * Demonstrated critical conceptual and intellectual skills. * Ability to use a systematic approach in solving problems through analysis and evaluation of alternative solutions. * Effective oral, written and interpersonal communication skills. * Ability to handle multiple tasks and projects simultaneously. * Demonstrated organizational and planning capabilities. * Effective organizational and prioritization skills. * Ability to interact effectively with all levels of the Company. * Ability to work effectively in a diverse work group. * Ability to work effectively as a member of a team. Preferred Qualifications * Demonstrated experience and success in communicating quantitative concepts to a business audience. * Experience performing business analysis to include use of SAS, SAS STAT and Enterprise Miner. * Experience in the application of database marketing principles and practices in the consumer market. * Technical skills -- * Understanding and previous use of a Windows-based computer system. * Proficiency in MS Word, Excel, and PowerPoint. * Ability to navigate on the Internet. H&R Block, Inc. Kansas City MO

Data Scientist - Nationwide Opportunities

Amazon.Com, Inc.