Data Scientist II, AB Ops Analytics at Amazon
Listed by DevShelfHub
About the Role
Amazon Business delivers comprehensive procurement solutions for business customers of all sizes. The AB Operations team owns end-to-end customer experience from checkout to final mile delivery. Amazon is hiring a Data Scientist II in Hyderabad to design and implement scalable, reliable approaches to support and automate decision-making across the business.
What you'll do
- Apply data science techniques combined with subject matter expertise to solve difficult business problems
- Proactively identify business opportunities and provide solutions to automate and optimize products
- Dive deep into data to identify defects or inefficiencies impacting customers or business
- Acquire data by building necessary SQL/ETL queries or scripts
- Analyze data for trends and input validity through distribution analysis and anomaly investigation
- Build models using statistical, mathematical, econometric, network, NLP, ML, genetic algorithms, and neural networks
- Validate models against alternative approaches and business-defined KPIs
- Implement models complying with computational demands, accuracy, and reliability of ETL processes
- Enable product engineering teams to consume models through customer-facing services
- Inspect key business metrics when analytics points to gaps or opportunities
What we're looking for
- 2+ years of data scientist experience
- 3+ years data querying (SQL), scripting (Python), or statistical software (R, SAS, Matlab)
- 3+ years machine learning/statistical modeling data analysis tools and techniques
- 1+ years guiding and coaching a group of researchers
Skills & Technologies
Required
Benefits & Perks
- Health Insurance
- Flexible Leave Policy
- Learning Budget
- EPF / NPS
Why This Role is Good for Experienced Professionals
- This role offers ownership of end-to-end data science solutions impacting Amazon Business operations at scale.
- Own design and implementation of scalable decision-making approaches across the business
- Apply statistical, mathematical, econometric, and ML modeling techniques
- Build models using NLP, genetic algorithms, and neural networks
- Acquire data through SQL/ETL queries and scripts
- Validate models against alternative approaches and business KPIs
- Enable product engineering teams to consume models through customer-facing services
- Proactively identify business opportunities and automation opportunities
- Build partnerships across data, engineering, and business teams
- Work on Amazon Business operations with unique B2B customer needs
- Part of Amazon's inclusive culture with comprehensive benefits
About Amazon
- Industry
- Technology
- Company Size
- 500+
- Website
- amazon.com
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Job Details
- Type
- Full time
- Level
- Mid-level
- Experience
- 2–6 years
- Location
- Hyderabad, Telangana, India (IND, TS, Hyderabad)
- Work Mode
- Hybrid
- Category
- AI / ML
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