Business Research Analyst-II, RBS Storewalk

Business Research Analyst-II, RBS Storewalk As 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 Job Responsibilities Scoping, driving and delivering complex projects across multiple teams. Performs root cause analysis by understanding the data need, getting data / pulling the data and analyzing it to form the hypothesis and validate it using data. Conducting a thorough analysis of large datasets to identify patterns, trends, and insights that can inform the development of NLP applications. Developing and implementing machine learning models and deep learning architectures to improve NLP systems. Collaborate with seasoned Applied Scientists 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 with Applied Scientists 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 use‑case developments. Mentor Junior Research Analyst (RAs) and contribute 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 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. 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 for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. 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