Data Scientist II, ISS, Amazon

Data Scientist II, ISS, Amazon
Written By:
Srinivas
Reviewed By:
Manisha Sharma
Published on

The Data Scientist II role at Amazon’s International Seller Services (ISS) focuses on building scalable AI and machine learning solutions to enhance seller and customer experiences. The role requires knowledge in data modeling, algorithm development, and business analytics to drive operational efficiency and compliance across the global Amazon marketplaces.

Location: Hyderabad, Telangana, India

Job ID: 3115234

Work Area: Data Science, Machine Learning, Analytics

Apply: Click Here

Primary Responsibilities

As part of the ISS team, the candidate will work on:

Data Modeling & Analysis

  • Analyze extensive datasets to create predictive models and extract insights.

  • Establish algorithms to evaluate the legitimacy of transactions and safeguard the platform.

  • Undertake detailed examinations to uncover patterns that enhance operational efficiency.

Machine Learning & Experimentation

  • Research and develop ML and statistical models to address complex business challenges.

  • Evaluate models based on experimentation and data-informed assessment.

  • Submit follow-ups to ensure accuracy is being correctly monitored incrementally efficiency is maintained.

Collaboration & Communication

  • Collaborate with multi-disciplinary teams from the organization including science, engineering, and product.

  • Communicate findings from analysis of results to stakeholders in visualizations and/or reports.

  • Help support the identification of meaningful product improvements.

Data Quality & Infrastructure

  • Facilitate high-quality integrity of data through the sourcing, processing, and transformation steps.

  • Create a querying and data infrastructure that can scale for online and offline use cases.

  • Document the approach and ensure the resulting data flow is reproducible.

Required Qualifications

  • 2+ years of experience in data science.

  • 3+ years of experience working with SQL, Python, R, or related tools.

  • Proven experience in ML/statistical modeling and applied analytics.

  • Strong background in data querying, scripting, and algorithm development.

Preferred Qualifications

  • Hands-on experience in Python or Perl.

  • Prior experience in data science roles within large technology environments.

  • Strong communication and visualization skills for presenting technical findings.

About Amazon

Amazon is a global leader in technology and retail, and is transforming the way the global community shops, accesses cloud computing, and uses web-based services. With a customer-first ethos, we remain a force for innovation in areas such as artificial intelligence, logistics, and entertainment. Amazon Web Services (AWS) and Prime have allowed millions of customers to shop smarter and more securely, work more productively, and connect more easily and seamlessly into today’s digital ecosystems.

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