About the Role In this role you will work with a data science team and cross-functional partners to solve business challenges in the areas of merchandise and supply chain while promoting data-driven decision making with advanced data analysis and machine learning. What You’ll Do + Assist in cleaning, preprocessing and analyzing large datasets to uncover trends, patterns and correlations + Conduct exploratory data analysis to cull actionable insights using analytical rigor and statistical methods + Collaborate with stakeholders to understand business requirements and translate them into technical solutions + Develop and implement statistical and machine learning models to solve business problems within a cross-functional team + Collaborate with senior data scientists to fine-tune, optimize and ensure the scalability of models and algorithms + Document projects, including business objectives, data gathering and processing, leading approaches, final algorithm, detailed set of results and analytical metrics + Identify and drive continuous improvement of key business metrics within the balanced team + Remain current on the latest trends and developments in data science and technology through self-learning and training opportunities + Additional tasks may be assigned What Skills You Have Required + Experience developing state-of-the-art algorithms using machine learning, statistical and optimization methods to power various aspects of highly complex business models and deliver value + Experience using modern analytics tools, programming languages, and cloud platforms such as Python, R, Spark, SQL, GCP, etc. + Strong problem-solving skills with an emphasis on product development + Experience proposing rapid experiments to test the effectiveness of new strategies or initiatives and iterate quickly based on results + Effective communication and collaboration skills + Bachelor’s of Science in Data Science, Computer Science, Statistics, Applied Mathematics or equivalent quantitative field + 2+ years of progressively complex data science or analytics experience Preferred + Master’s degree + Retail experience + Supply chain management + Experience building probabilistic classification models + Experience supporting and enhancing live production models