Amazon Data Scientist Job Openings 2026 :-
Amazon is hiring candidates for the role of Data Scientist for the Bengaluru, KA, India locations. The complete details about Amazon Data Scientist Job Openings 2026 are as follows.
| Company Name:- | Amazon |
| Required Education: | Bachelor’s or Master’s degree in computer science, engineering or a related technical field |
| Required Skills: | Expertise in Angular 19+, TypeScript, React, or Next.js. Experience using state management patterns such as NgRX or Redux. Understanding of event-driven frontend designs |
| Job Category: | Data Science |
| Reference number | R0124867 |
Qualifications
Basic Qualifications
- 1+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 2+ years of data/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources experience
- 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience
- Master’s degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)
- Bachelor’s or Master’s degree in computer science, engineering or a related technical field
- Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)
- Experience using complex modeling and analysis to inform key business decisions
- Experience that includes strong analytical skills, attention to detail, and effective communication abilities, or experience in SQL Server/MySQL
- Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc.
- Can work proactively and independently, meet deadlines, and deliver on projects and tasks
- Experience troubleshooting and documenting findings, or experience driving collaborative projects from conception to delivery
Preferred Qualifications
- Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)
- Knowledge of statistical packages and business intelligence tools such as SPSS, SAS, S-PLUS, or R
- Knowledge of machine learning concepts and their application to reasoning and problem-solving
- Experience with clustered data processing (e.g., Hadoop, Spark, Map-reduce, and Hive)
- Experience working with or evaluating AI systems
- Experience applying quantitative analysis to solve business problems and making data-driven business decisions
- Experience effectively communicating complex concepts through written and verbal communication
- Master’s degree or above in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or PhD
- Knowledge of AWS platforms such as S3, Glue, Athena, Sagemaker
- Knowledge of software engineering best practices across the development life cycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
- Experience in complex problem solving, and working in a tight schedule environment
Skills Required
Key job responsibilities
- Working with technical and non-technical stakeholders across every step of science project life cycle.
- Design, develop, implement, test forecasting solutions for planning and goal setting exercises across various payment products and programs across CP organization.
- Apply statistical and machine learning techniques to extract meaningful trends and insights.
- Identifying real-time anomalies and early-detection mechanisms.
- Collaborate with Analysts, Business Intelligence Engineers and Product Managers to implement algorithms that exploit rich data sets for statistical analysis, and machine learning.
- Work with product tech teams, BIE/DE and build robust and scalable science solutions integration with in house reporting/BI tools using SQL, Python and Spark.
- Leading training and informational sessions on our science and capabilities.
- Write, share and present documents summarizing your findings and recommendations to all levels of organization.
- Well versed in the relevant literature and have the ability to identify, analyze, and adapt new state-of-the-art methods as well as beyond to create new problem-solution pairs to build breakthroughs.
- Communicate effectively with product/business/tech-teams/other science teams.
Amazon Data Scientist Job Openings 2026 Application Process:-
Apply In Below Link
Apply Link:- Click Here To Apply (Apply before the link expires)
Note:– Only shortlisted candidates will receive the call letter for further rounds
