Job Description :
Title- Data Scientist


Must be an excellent communicator
4+ years of relevant experience working in analytics with a track record of delivering insights and business impact
4+ years of experience with advanced analytic techniques, such as predictive modeling and multivariate regression analysis
4+ years of expertise using data analysis, modelling and visualization tools such as Python, R, cloud-based ML Ops tech stack, SQL, and Tableau


Develop algorithms and statistical predictive models and determine analytic approaches and modeling techniques to support retail merchandising strategic priorities (e.g. assortment optimization, pricing analytics and promotions analytics)
Build predictive models in statistical programming tools (Python, SAS, R) using advanced data science concepts (e.g. regression modeling, time series forecasting, data clustering, advanced machine learning techniques)
Extract and manipulate data from multiple large data sources and use data to deliver predictive models that drive product assortment and increase profitability
Analyze retail data using advanced statistical techniques to help develop benchmarks, optimization strategies and recommendations
Partner with business stakeholders to evaluate business questions and propose analytical solutions that provide actionable insights on customer behavior and product assortment
Prepare and participate in presentations to stakeholders on analytic results and recommendations
Interact with internal and external vendor peers and leaders to exchange ideas
Use strong knowledge in algorithms and predictive models to investigate problems, detect patterns and recommend solutions
Use strong programming skills to explore, examine and interpret large volumes of data in various forms


Retail merchandising domain expertise including category management, assortment optimization, product clustering, product price sensitivity and promotion affinity evaluation, store clustering and localization
Proficiency in latest cloud based front end and web development tool stack
Demonstrates strong ability to communicate technical concepts and implications to business partners
Anticipates and prevents problems and roadblocks before they occur
Excellent analytical and problem-solving skills
Strong oral and written communication skills
High levels of self-motivation and attention to detail


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