Business Intel Engineer-II RBS Storewalk

As a Research Analyst (RA) youll collaborate with experts to develop ML solutions for business needs. Youll drive product pilots demonstrating innovative thinking and customer focus. Youll build scalable solutions write highquality code and develop stateoftheart ML models. Youll coordinate between science and software teams optimizing solutions. The role requires thriving in ambiguous fastpaced 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 selfstarter 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 understand the data need get data / pull the data and analyze 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 usecase 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 highopportunity 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.

Bachelors 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 handson 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.

Masters 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 Indepth understanding of machine learning concepts including developing models and tuning the hyperparameters as well as deploying models and building ML service Technical expertise experience in Data science ML and Statistics

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