ADCI
Machine Learning Science, Applied Science, Retail
SeniorAppliedScientist,CentralMachineLearning
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Applied Scientist, Central Machine Learning at ADCI. Skills: Machine Learning, Data Science, Algorithmic systems, Predictive learning. Use machine learning and analytical techniques to create. Analyze and extract relevant information from large amounts”
What You'll Achieve.
Create scalable solutions for business problems; Automate and optimize key processes; Deploy innovative and highly scalable models; Optimize various business operations; Create direct impact on millions of consumers and end users
Industry & Context.
Solve real-world problems; Analyze large amounts of data; Generate insights; Generate opportunities; Design simulations; Design experiments
What They're Looking For.
Must Have
Master's degree and 6+ years of applied research experience, 8+ years of building machine learning models or developing algorithms for business application experience, 7+ years of building machine learning models for business application experience, Experience working effectively across cross-functional teams, Experience partnering well with people at all levels within an organization
Nice to Have
PhD preferred, Experience with large scale distributed systems, Experience with machine learning technologies, Experience with Reinforcement Learning, Experience with Deep Learning, Experience with Computer Vision, Experience with Natural Language Processing (NLP), Experience with related applications
What You'll Do.
Use machine learning and analytical techniques to create
Analyze and extract relevant information from large amounts
evaluate and deploy innovative and highly
Research and implement novel machine learning and statistical
Work closely with software engineering teams to drive
Work closely with business owners and operations staff
automated processes for large scale
Mentor other scientists and engineers in the use
Solve real-world problems by getting and analyzing large
Generate insights and opportunities
Design simulations and experiments
Develop statistical and ML models
Prepare written and verbal presentations to share insights
How You'll Work.
Team & Collaboration
Cross-functional teams; Software engineering teams; Business owners; Operations staff; Scientists; Engineers; Product Managers
Communication Scope
Written presentations; Verbal presentations
Full Job Description
Do you want to join an innovative team of scientists who use machine learning and statistical techniques to create state-of-the-art solutions for providing better value to Amazon’s customers? Do you want to build and deploy advanced algorithmic systems that help optimize millions of transactions every day? Are you excited by the prospect of analyzing and modeling terabytes of data to solve real world problems? Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company? Do you like to innovate and simplify? If yes, then you may be a great fit to join the Machine Learning and Data Sciences team for India Consumer Businesses. If you have an entrepreneurial spirit, know how to deliver, love to work with data, are deeply technical, highly innovative and long for the opportunity to build solutions to challenging problems that directly impact the company's bottom-line, we want to talk to you. Major responsibilities - Use machine learning and analytical techniques to create scalable solutions for business problems - Analyze and extract relevant information from large amounts of Amazon’s historical business data to help automate and optimize key processes - Design, development, evaluate and deploy innovative and highly scalable models for predictive learning - Research and implement novel machine learning and statistical approaches - Work closely with software engineering teams to drive real-time model implementations and new feature creations - Work closely with business owners and operations staff to optimize various business operations - Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation - Mentor other scientists and engineers in the use of ML techniques A day in the life You will solve real-world problems by getting and analyzing large amounts of data, generate insights and opportunities, design simulations and experiments, and dev
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