OverviewAs a Research Analyst (RA), you'll collaborate with experts to develop 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. This will require collaboration with local and global teams, which have process and technical expertise. Therefore, RA should be a self-starter who is passionate about discovering and solving complicated problems, learning complex systems, working with numbers, and organizing and communicating data and reports.
Key Responsibilities

Scoping, driving and delivering complex projects across multiple teams.
Performing root cause analysis by understanding data needs, pulling data, and analyzing it to form hypotheses and validate using data.
Conducting a thorough analysis of large datasets to identify patterns, trends, and insights that inform the development of NLP applications.
Developing and implementing machine learning models and deep learning architectures to improve NLP systems.
Collaborating with seasoned Applied Scientists and proposing best-in-class ML solutions for business requirements.
Diving deep to drive product pilots, thinking big and maintaining customer obsession to steer the product roadmap.
Building scalable solutions in partnership with Applied Scientists by writing high-quality code and developing state-of-the-art ML models using recent research breakthroughs in academia and industry.
Coordinating design efforts between Sciences and Software teams to deliver optimized solutions.
Ability to thrive in an ambiguous, uncertain, and fast-moving ML use-case development environment.
Mentoring Junior Research Analysts (RAs) and contributing to RA hiring.

About the team
The Storewalk program is designed to elevate customer experience by targeting high-opportunity shopping missions (HOSMs) within Amazon stores that suffer from low sales conversion rates. During the purchase journey, a customer goes through recursive cycles of search, evaluation and then finally purchases the product if it suits his/her requirements. In RBS Storewalk, we study customer anecdotes and mimic the customer journey to identify key frustrations at each stage and improve customer experience by driving fixes with partner teams. Our primary objective is to ensure customers can seamlessly complete their purchase journey without encountering any customer experience (CX) defects during their shopping journey.
Basic Qualifications

Bachelor's degree in Quantitative or STEM disciplines (Science, Technology, Engineering, Mathematics)
3+ 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

Master's degree with specialization in ML, NLP or Computer Vision preferred
3+ years relevant work experience in related fields (project management, customer advocate, product owner, engineering, business analysis)
Diverse experience across different roles; in-depth understanding of machine learning concepts including developing models, tuning hyperparameters, deploying models and building ML services
Technical expertise, experience in Data Science, ML and Statistics

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Posted: October 8, 2025 (Updated about 13 hours ago)
Posted: September 24, 2025 (Updated about 17 hours ago)
Posted: September 24, 2025 (Updated about 17 hours ago)
Posted: August 19, 2025 (Updated 4 days ago)
Posted: September 11, 2025 (Updated 4 days ago)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
#J-18808-Ljbffr