Senior Data Scientist at Amazon Hyderabad
About the job
Amazon is hiring a Senior Data Scientist in Hyderabad, India. The role sits in the EU 3P Amazon Business team. It focuses on ambiguous, high-impact business problems, solved with statistical modeling, machine learning and quantitative analysis.
Candidates need 4+ years of experience as a data scientist and 5+ years of experience with SQL, Python or statistical software. The role also involves mentoring other data scientists and working with global partner data teams.
Job Details
- Company: Amazon
- Role: Senior Data Scientist
- Job ID: 10572993 (ADCI HYD 13 SEZ)
- Location: Hyderabad, Telangana, India
- Team: EU 3P Amazon Business
- Job category on source: Data Science
- Experience: 4+ years as a data scientist, 5+ years in querying, scripting or statistical software
- Salary: Not disclosed
- Work mode: Not specified in the listing
What You’ll Do
- Lead the design, development and delivery of data science solutions for complex business problems.
- Apply statistical modeling, machine learning and quantitative analysis to produce actionable recommendations.
- Choose data science strategies and methods that are rigorous, scalable and aligned with business goals.
- Work with engineering, product and business teams to define problem statements and push for the right data collection and instrumentation.
- Share insights that influence team strategy, including write-ups for leadership review.
- Set standards for code quality, model validation and reproducibility.
- Mentor other data scientists and review their analyses and models.
- Find gaps in existing metrics and measurement frameworks, propose better approaches and restructure data sources to improve analytics.
- Work with global partner data teams.
What You Need
- 5+ years of experience with data querying languages (for example SQL), scripting languages (for example Python) or statistical and mathematical software (for example R, SAS, Matlab).
- 4+ years of experience as a data scientist.
- Experience with statistical models, for example multinomial logistic regression.
Preferred Skills
- 2+ years of data visualization experience with AWS QuickSight, Tableau, R Shiny or similar tools.
- Experience managing data pipelines.
- Experience as a leader and mentor on a data science team.
How to Apply
- Check that you meet the required experience and skills listed above.
- Use Apply on Original Source ↗ at the top of this job page to open the original listing and follow its application instructions.
- Quote Job ID 10572993 if you contact the recruiting team.
Before You Apply
- Prepare examples of statistical models you have built, including multinomial logistic regression.
- Be ready to discuss past work in model validation, reproducibility and mentoring.
- Amazon offers accommodations for candidates with disabilities during the hiring process. See the accommodations details on the original listing.
Skills
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Job Details
About Amazon
Amazon is a global technology and e-commerce company. This role belongs to its EU 3P (third-party seller) business team.
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JobsInHyd is a job discovery platform and is not the employer or recruiter for this position. Job details are sourced from the original application source and may change. Please verify the latest information before applying.
JobsInHyd does not guarantee hiring outcomes.Amazon is hiring a Senior Data Scientist in Hyderabad, India. The role sits in the EU 3P Amazon Business team. It focuses on ambiguous, high-impact business problems, solved with statistical modeling, machine learning and quantitative analysis.
Candidates need 4+ years of experience as a data scientist and 5+ years of experience with SQL, Python or statistical software. The role also involves mentoring other data scientists and working with global partner data teams.
Job Details
- Company: Amazon
- Role: Senior Data Scientist
- Job ID: 10572993 (ADCI HYD 13 SEZ)
- Location: Hyderabad, Telangana, India
- Team: EU 3P Amazon Business
- Job category on source: Data Science
- Experience: 4+ years as a data scientist, 5+ years in querying, scripting or statistical software
- Salary: Not disclosed
- Work mode: Not specified in the listing
What You’ll Do
- Lead the design, development and delivery of data science solutions for complex business problems.
- Apply statistical modeling, machine learning and quantitative analysis to produce actionable recommendations.
- Choose data science strategies and methods that are rigorous, scalable and aligned with business goals.
- Work with engineering, product and business teams to define problem statements and push for the right data collection and instrumentation.
- Share insights that influence team strategy, including write-ups for leadership review.
- Set standards for code quality, model validation and reproducibility.
- Mentor other data scientists and review their analyses and models.
- Find gaps in existing metrics and measurement frameworks, propose better approaches and restructure data sources to improve analytics.
- Work with global partner data teams.
What You Need
- 5+ years of experience with data querying languages (for example SQL), scripting languages (for example Python) or statistical and mathematical software (for example R, SAS, Matlab).
- 4+ years of experience as a data scientist.
- Experience with statistical models, for example multinomial logistic regression.
Preferred Skills
- 2+ years of data visualization experience with AWS QuickSight, Tableau, R Shiny or similar tools.
- Experience managing data pipelines.
- Experience as a leader and mentor on a data science team.
How to Apply
- Check that you meet the required experience and skills listed above.
- Use Apply on Original Source ↗ at the top of this job page to open the original listing and follow its application instructions.
- Quote Job ID 10572993 if you contact the recruiting team.
Before You Apply
- Prepare examples of statistical models you have built, including multinomial logistic regression.
- Be ready to discuss past work in model validation, reproducibility and mentoring.
- Amazon offers accommodations for candidates with disabilities during the hiring process. See the accommodations details on the original listing.