Amazon

Business Research Analyst - I, RBS Inventory Optimization Program

Posted On

Feb. 21, 2025

Location

Chennai, Tamil Nadu

Experience Level

Freshers/Experienced

Job Type

Business Intelligence

Apply By

March 11, 2025

Job 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
- • 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.

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