ADCI
Applied Science, Retail
SeniorAppliedScientist
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Applied Scientist at ADCI. Skills: Machine learning, Data science, Applied research. Use machine learning and analytical techniques. Create scalable solutions for business problems”
What You'll Achieve.
Provide better value to customers; Optimize millions of transactions; Directly impact profitability; Impact bottom-line; Impact top-line
Industry & Context.
Solve real world problems
What They're Looking For.
Must Have
7+ years building ML models, Master's degree and 6+ years applied research, Experience programming in Java, C++, Python, Experience with neural deep learning methods, Experience with machine learning
Nice to Have
PhD, Experience with modeling tools, Experience with large scale distributed systems
What You'll Do.
Use machine learning and analytical techniques
Create scalable solutions for business problems
Analyze and extract relevant information
Automate and optimize key processes
Design innovative and highly scalable models
Develop innovative and highly scalable models
Evaluate innovative and highly scalable models
Deploy innovative and highly scalable models
Research novel machine learning approaches
Implement novel machine learning approaches
Research novel statistical approaches
Implement novel statistical approaches
Work closely with software engineering teams
Drive real-time model implementations
Drive new feature creations
Work closely with business owners
Work closely with operations staff
Optimize various business operations
Establish scalable processes for data analyses
Establish efficient processes for data analyses
Establish automated processes for data analyses
Establish scalable processes for model development
Establish efficient processes for model development
Establish automated processes for model development
Establish scalable processes for model validation
Establish efficient processes for model validation
Establish automated processes for model validation
Establish scalable processes for model implementation
Establish efficient processes for model implementation
Establish automated processes for model implementation
Mentor other scientists and engineers
Identify problems and propose ML solutions
Evangelize new algorithms
Drive implementation of ML models
Mentor engineers in ML techniques
How You'll Work.
Team & Collaboration
Software engineering teams; Business owners; Operations staff; Engineering teams; Product managers
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 Key job responsibilities Use machine learning and analytical techniques to create scalable solutions for business problems Analyze and extract relevant information from large amount
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