Amazon Hiring for Business Research Analyst – I, RBS Inventory Optimization Program at Chennai, TennesseeIndia Full Time

Description

As a Research Analyst, you’ll collaborate with experts to develop cutting-edge ML solutions for business needs. You’ll drive product pilots, demonstrating innovative thinking and customer focus. You’ll build scalable solutions, write high-quality code, and develop state-of-the-art ML models. You’ll coordinate between science and software teams, optimizing solutions. The role requires thriving in ambiguous, fast-paced environments and working independently with ML models.

Key job responsibilities

• Collaborate and propose best in class ML solutions for business requirements

• Dive deep to drive product pilots, demonstrate think big and customer obsession LPs to steer the product roadmap

• Build scalable solutions in partnership by developing technical intuition to write high quality code and develop state of the art ML models utilizing most recent research breakthroughs in academia and industry

• Coordinate design efforts between Sciences and Software teams to deliver optimized solutions

• Ability to thrive in an ambiguous, uncertain and fast moving ML usecase developments.

• Familiar with ML models and work independent.

About the team

The vision of Inventory Optimization program (IOP) is to ensure that inventory is inbounded seamlessly into FCs, all inventory present in FCs is available for customers purchase and inventory not needed in FCs is disposed in an optimal manner by Amazon. Our scope includes WW Retail, FBA, 3P and Amazon subsidiaries sellable (including overstock and deadwood) and unsellable (expired, damaged, defective) inventory.

Basic Qualifications

• Basic Qualifications

• • Bachelor’s degree in Quantitative or STEM disciplines (Science, Technology, Engineering, Mathematics)

• • 1+ years of relevant work experience in solving real world business problems using machine learning, deep learning, data mining and statistical algorithms

• • Strong hands-on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark, Scala, R, Java desired but not mandatory

• • Strong analytical thinking

• • Ability to creatively solve business problems, innovating new approaches where required and articulating ideas to a wide range of audiences using strong data, written and verbal communication skills

• • Ability to collaborate effectively across multiple teams and stakeholders, including development teams, product management and operations.

Preferred Qualifications

• Preferred Qualifications

• • Master’s degree with specialization in ML, NLP or Computer Vision preferred

• • 1+ years relevant work experience in a related field/s (project management, customer advocate, product owner, engineering, business analysis)

• • Diverse experience will be favored eg. a mix of experience across different roles – In-depth understanding of machine learning concepts including developing models and tuning the hyper-parameters, as well as deploying models and building ML service – Technical expertise, experience in Data science, ML and Statistics

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