About the job
Amazon is hiring a Data Scientist II for its Global Corporate Procurement Technology team in Hyderabad. The position is part of Amazon FinAuto – Lantern and focuses on building AI/ML-powered applications for Amazon’s procurement systems.
The role involves machine learning, natural language processing, predictive analytics, statistical modeling and generative AI. You will work with data scientists, engineers, product managers and UX designers to turn business requirements into data-driven solutions.
What You’ll Do
- Develop and deploy machine learning models and data pipelines for procurement applications.
- Use statistical analysis to solve business problems and support decision-making.
- Build forecasting and prediction approaches by identifying business drivers and predictors.
- Analyze data to identify opportunities and prepare written recommendations.
- Lead quantitative analysis while maintaining analytical rigor and data integrity.
- Work with multiple teams to develop AI/ML and analytics solutions.
- Apply natural language processing, predictive analytics and other machine learning techniques to business problems.
What You Need
- 2+ years of experience as a Data Scientist.
- 3+ years of experience with data querying languages such as SQL, scripting languages such as Python, or statistical and mathematical software such as R, SAS or MATLAB.
- 3+ years of experience with machine learning or statistical modeling techniques and data analysis tools.
- 1+ year of experience guiding or coaching a group of researchers.
- 1+ year of experience working with or evaluating AI systems.
- 1+ year of experience creating or contributing to mathematical textbooks, research papers or educational content.
- Master’s degree in STEM or relevant STEM work experience.
- Experience applying theoretical models to practical problems.
Preferred Qualifications
- Ph.D. in a STEM field.
- Knowledge of machine learning concepts used for reasoning and problem-solving.
- Experience with Python, Perl or another scripting language.
- Experience in a Data Scientist or ML role at a large technology company.
- Experience creating benchmarks to evaluate Generative AI model performance.
- Experience working on cross-functional, multi-team projects.
- Experience using quantitative analysis for business decisions.
- Strong written and verbal communication skills for explaining complex technical concepts.
Before You Apply
- Make sure your resume clearly shows at least 2 years of Data Scientist experience.
- Highlight practical work with SQL, Python or statistical programming tools.
- Show specific machine learning or statistical modeling projects and the problems they solved.
- If you have worked with AI systems or evaluated Generative AI models, describe that work clearly.
- Include research papers, mathematical content, educational material or researcher-coaching experience if applicable.
Skills
Data Science, Machine Learning, Python, SQL, Statistical Modeling, Natural Language Processing, Predictive Analytics, Generative AI, Data Analysis, R, SAS, MATLAB
Job Details
Skills
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JobsInHyd does not guarantee hiring outcomes.About Amazon
Amazon is a global technology and commerce company. This position is part of its Global Corporate Procurement Technology team and focuses on AI/ML-powered procurement applications. The employer lists the role under ADCI HYD 13 SEZ.
Amazon is hiring a Data Scientist II for its Global Corporate Procurement Technology team in Hyderabad. The position is part of Amazon FinAuto – Lantern and focuses on building AI/ML-powered applications for Amazon’s procurement systems.
The role involves machine learning, natural language processing, predictive analytics, statistical modeling and generative AI. You will work with data scientists, engineers, product managers and UX designers to turn business requirements into data-driven solutions.
What You’ll Do
- Develop and deploy machine learning models and data pipelines for procurement applications.
- Use statistical analysis to solve business problems and support decision-making.
- Build forecasting and prediction approaches by identifying business drivers and predictors.
- Analyze data to identify opportunities and prepare written recommendations.
- Lead quantitative analysis while maintaining analytical rigor and data integrity.
- Work with multiple teams to develop AI/ML and analytics solutions.
- Apply natural language processing, predictive analytics and other machine learning techniques to business problems.
What You Need
- 2+ years of experience as a Data Scientist.
- 3+ years of experience with data querying languages such as SQL, scripting languages such as Python, or statistical and mathematical software such as R, SAS or MATLAB.
- 3+ years of experience with machine learning or statistical modeling techniques and data analysis tools.
- 1+ year of experience guiding or coaching a group of researchers.
- 1+ year of experience working with or evaluating AI systems.
- 1+ year of experience creating or contributing to mathematical textbooks, research papers or educational content.
- Master’s degree in STEM or relevant STEM work experience.
- Experience applying theoretical models to practical problems.
Preferred Qualifications
- Ph.D. in a STEM field.
- Knowledge of machine learning concepts used for reasoning and problem-solving.
- Experience with Python, Perl or another scripting language.
- Experience in a Data Scientist or ML role at a large technology company.
- Experience creating benchmarks to evaluate Generative AI model performance.
- Experience working on cross-functional, multi-team projects.
- Experience using quantitative analysis for business decisions.
- Strong written and verbal communication skills for explaining complex technical concepts.
Before You Apply
- Make sure your resume clearly shows at least 2 years of Data Scientist experience.
- Highlight practical work with SQL, Python or statistical programming tools.
- Show specific machine learning or statistical modeling projects and the problems they solved.
- If you have worked with AI systems or evaluated Generative AI models, describe that work clearly.
- Include research papers, mathematical content, educational material or researcher-coaching experience if applicable.
Skills
Data Science, Machine Learning, Python, SQL, Statistical Modeling, Natural Language Processing, Predictive Analytics, Generative AI, Data Analysis, R, SAS, MATLAB
