Data Scientist I

About The RoleIn this role you will work with a data science team and cross-functional partners to solve business challenges and promote data-driven decision making with advanced data analysis and machine learning.What You’ll DoAssist in cleaning, preprocessing and analyzing large datasets to uncover trends, patterns and correlationsConduct exploratory data analysis to cull actionable insights using analytical rigor and statistical methodsCollaborate with stakeholders to understand business requirements and translate them into technical solutionsDevelop and implement statistical and machine learning models to solve business problems within a cross-functional teamCollaborate with senior data scientists to fine-tune, optimize and ensure the scalability of models and algorithmsDocument projects, including business objectives, data gathering and processing, leading approaches, final algorithm, detailed set of results and analytical metricsIdentify and drive continuous improvement of key business metrics within the balanced teamRemain current on the latest trends and developments in data science and technology through self-learning and training opportunitiesAdditional tasks may be assignedAddendumDECISION SCIENCEAccountabilitiesBegin to understand business challenges and their conversion into optimization problems, focusing on defining objectives and adhering to business constraints such as budget limitations and sell-through ratesContribute to large-scale optimization and statistical analysis in web analytics, forecasting, supply chain management, pricing and inventory managementContribute to the tuning of models by adjusting objective functions, constraints, etc.Skills & ExperienceExperience using commercial or open-source optimization tools such as Gurobi, Pyomo, CPLEX, etcBS in Operations Research, Data Science, Computer Science, Machine Learning, Applied Mathematics, or equivalent quantitative fieldRequiredWhat Skills You HaveExperience developing state-of-the-art algorithms using machine learning, statistical and optimization methods to power various aspects of highly complex business models and deliver valueExperience 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 developmentExperience proposing rapid experiments to test the effectiveness of new strategies or initiatives and iterate quickly based on resultsEffective communication and collaboration skillsBachelor’s of Science in Data Science, Computer Science, Statistics, Applied Mathematics or equivalent quantitative field2+ years of progressively complex data science or analytics experiencePreferredMaster’s degreeRetail experienceSupply chain managementMarketing modelsLogistics experience