We are seeking individuals who possess a strong command of extensive and diverse datasets and are adept at utilizing technologies such as data bricks to address and enhance Merchandising challenges. Responsibilities Engaging in collaborative consultations with clients to define the parameters of data science problems and facilitate their integration. Formulating precise mathematical representations of business challenges, complete with testable hypotheses. Developing statistical, machine learning, or mathematical solutions to rigorously test and optimize automated business solutions. Implementing and deploying algorithms and solutions within a comprehensive big data environment. Establishing expertise as a subject matter and data specialist within the intricate domain of Merchandising. Requirements Proficiency in data wrangling and pipelining using SQL and R/Python. Capability to develop modular code and design scalable, automated data pipelines. Exceptional communication skills and a proven record of effective collaboration with clients. Proficient programming skills in R/Python/SQL. Excellent knowledge of advanced Excel Sound knowledge in statistics, optimization, and mathematics. Ability to function seamlessly within a team environment and provide mentorship to team members. Graduates in Computer Science from esteemed engineering institutes with a minimum of 4+ years of relevant experience. MTech or MS holders in Statistics, Economics, with a minimum of 4+ years of relevant data experience. Candidates with experience in implementing data-driven solutions in space optimization, assortment optimization, presentation optimization, and affinity analysis will receive preference. Previous experience working in agile teams/scrums is highly desirable. Retail domain experience is a must
