Data Scientist I

About the Role In 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 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 Addendum

DECISION SCIENCE

Accountabilities Begin 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 rates Contribute to large-scale optimization and statistical analysis in web analytics, forecasting, supply chain management, pricing and inventory management Contribute to the tuning of models by adjusting objective functions, constraints, etc. Skills & Experience Experience using commercial or open-source optimization tools such as Gurobi, Pyomo, CPLEX, etc BS in Operations Research, Data Science, Computer Science, Machine Learning, Applied Mathematics, or equivalent quantitative field 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 Marketing models Logistics experience