Amazon, a global e-commerce giant, is currently seeking Data Associates to join their team. This exciting opportunity is open to graduates looking to kickstart their career in data analysis and management. With a competitive salary of up to 11 lakh, this position offers a lucrative compensation package along with the chance to work for one of the world’s most innovative companies.
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About the Amazon
Amazon.com, Inc. doing business as Amazon, is an American multinational corporation and technology company focusing on e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence. It is considered one of the Big Five American technology companies; the other four are Alphabet (parent company of Google), Apple, Meta (parent company of Facebook), and Microsoft.
Amazon was founded on July 5, 1994, by Jeff Bezos from his garage in Bellevue, Washington. The company initially was an online marketplace for books, but incrementally expanded into a multitude of product categories, a strategy that has earned it the moniker “The Everything Store
About the Data Associate
Whenever a customer visits Amazon and types in a query or browses through product categories, Amazon Search services go to work. Our Human Labeled Data (HLD) organization helps Search services in providing a better customer search experience by delivering quality data annotation to help improve AI/ML models driving these services.
Our vision is to create business value by delivering high-quality data at scale. We look to provide easy and scalable labeling solutions to support searches that are high quality, cost-efficient, and secure. Our vision is to enable improvement in the search experience for our customers, by accurately determining labels for products targeted by the search queries received. We collaborate closely with several machine learning (ML) applied science teams that develop and test ML models to improve the quality of semantic matching, ranking, computer vision, image processing, and augmented reality.
We are looking for highly motivated and talented candidates who will provide and/or review high-quality data annotation for a variety of workflows. The ideal candidate must demonstrate strong analytical & communication skills, attention to detail, and a commitment to excellence.
Eligibility Criteria
Graduate or equivalent
Proficient in English. Candidate must demonstrate language proficiency in all the following: verbal, writing, reading, and comprehension.
Good English language proficiency: verbal, writing, reading, and comprehension
Strong analytical and communication skills
Passion for delivering a positive customer experience, and maintaining composure in difficult situations
Ability to effectively and efficiently complete challenging goals or assignments within defined SLA
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Preferred Qualification
Basic level of Excel knowledge
Familiarity with online retail (e-commerce industry)
Role and Responsibility
As a Data Associate I, ML, you will be responsible for providing timely and quality data annotation for a variety of workflows. The tasks therefore will be repetitive and will require the candidate to make quick decisions keeping in mind the provided guidelines. Your key responsibilities will include (but are not limited to) the below:
Meets business metrics and goals, i.e., SLA, production, and quality targets
Works with minimal direction
Maintains records of day-to-day work by updating trackers or workflow tools as necessary
Follows SOP/guidelines or manager’s instructions and ensures output is quality-compliant
Contributes to project improvement and operational excellence ideas, as applicable
Responsible for giving timely responses to stakeholders on related tasks with guidance, i.e., as per SOP and defined SLA
Proactively raises issues /alarms that may have an impact on core deliverables or operations to managers or stakeholders
Analyze data and evaluate trends/ patterns and recommend generic patterns to be translated into rules
Willingness to work with sensitive issues, including but not limited to: Adult content, Religious and philosophically sensitive issues, alcohol, tobacco, weapons, and other potentially offensive products
Troubleshooting issues related to process and conducting root cause analysis if required
Familiarity with online retail (e-commerce)
Salary
₹7L – ₹11L/yr
Salary information is here
Location
India: Bangalore
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How To Apply?
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