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Senior Applied Scientist , Central Machine Learning

Amazon

Software and Technology Jobs

Senior Applied Scientist , Central Machine Learning

full-timePosted: Oct 8, 2025

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 techniquesA day in the lifeYou will solve real-world problems by getting and analyzing large amounts of data, generate insights and opportunities, design simulations and experiments, and develop statistical and ML models. The team is driven by business needs, which requires collaboration with other Scientists, Engineers, and Product Managers across the International Emerging Stores organization. You will prepare written and verbal presentations to share insights to audiences of varying levels of technical sophistication.About the teamCentral Machine Learning team works closely with the IES business and engineering teams in building ML solutions that create an impact for Emerging Marketplaces. This is a great opportunity to leverage your machine learning and data mining skills to create a direct impact on millions of consumers and end users.

Locations

  • India, KA, Bengaluru, Bengaluru, KA, India
  • India, TS, Hyderabad, Hyderabad, TS, India

Salary

Estimated Salary Rangemedium confidence

120,000 - 200,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • - PhD, or Master's degree and 6+ years of applied research experienceintermediate
  • - 8+ years of building machine learning models or developing algorithms for business application experienceintermediate
  • - Experience with neural deep learning methods and machine learningintermediate
  • - 7+ years of building machine learning models for business application experienceintermediate
  • - Experience working effectively across cross-functional teams and partnering well with people at all levels within an organizationintermediate

Required Qualifications

  • - PhD, or Master's degree and 6+ years of applied research experience (experience, 6 years)
  • - 8+ years of building machine learning models or developing algorithms for business application experience (experience, 8 years)
  • - Experience with neural deep learning methods and machine learning (experience)
  • - 7+ years of building machine learning models for business application experience (experience, 7 years)
  • - Experience working effectively across cross-functional teams and partnering well with people at all levels within an organization (experience)

Preferred Qualifications

  • - Experience with large scale distributed systems such as Hadoop, Spark etc. (experience)
  • - Experience with one of the following areas: machine learning technologies, Reinforcement Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP) or related applications (experience)

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Amazon logo

Senior Applied Scientist , Central Machine Learning

Amazon

Software and Technology Jobs

Senior Applied Scientist , Central Machine Learning

full-timePosted: Oct 8, 2025

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 techniquesA day in the lifeYou will solve real-world problems by getting and analyzing large amounts of data, generate insights and opportunities, design simulations and experiments, and develop statistical and ML models. The team is driven by business needs, which requires collaboration with other Scientists, Engineers, and Product Managers across the International Emerging Stores organization. You will prepare written and verbal presentations to share insights to audiences of varying levels of technical sophistication.About the teamCentral Machine Learning team works closely with the IES business and engineering teams in building ML solutions that create an impact for Emerging Marketplaces. This is a great opportunity to leverage your machine learning and data mining skills to create a direct impact on millions of consumers and end users.

Locations

  • India, KA, Bengaluru, Bengaluru, KA, India
  • India, TS, Hyderabad, Hyderabad, TS, India

Salary

Estimated Salary Rangemedium confidence

120,000 - 200,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • - PhD, or Master's degree and 6+ years of applied research experienceintermediate
  • - 8+ years of building machine learning models or developing algorithms for business application experienceintermediate
  • - Experience with neural deep learning methods and machine learningintermediate
  • - 7+ years of building machine learning models for business application experienceintermediate
  • - Experience working effectively across cross-functional teams and partnering well with people at all levels within an organizationintermediate

Required Qualifications

  • - PhD, or Master's degree and 6+ years of applied research experience (experience, 6 years)
  • - 8+ years of building machine learning models or developing algorithms for business application experience (experience, 8 years)
  • - Experience with neural deep learning methods and machine learning (experience)
  • - 7+ years of building machine learning models for business application experience (experience, 7 years)
  • - Experience working effectively across cross-functional teams and partnering well with people at all levels within an organization (experience)

Preferred Qualifications

  • - Experience with large scale distributed systems such as Hadoop, Spark etc. (experience)
  • - Experience with one of the following areas: machine learning technologies, Reinforcement Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP) or related applications (experience)

Target Your Resume for "Senior Applied Scientist , Central Machine Learning" , Amazon

Get personalized recommendations to optimize your resume specifically for Senior Applied Scientist , Central Machine Learning. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Senior Applied Scientist , Central Machine Learning" , Amazon

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

amazon.artificial-intelligenceMachine Learning Science

Answer 10 quick questions to check your fit for Senior Applied Scientist , Central Machine Learning @ Amazon.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.