Lead Engineer Data Science - US Based Remote

Data Scientist Position

Work back from the business problems to be solved, collect proper data to perform various analysis, select proper machine learning and/or large language modeling approaches, eventually rollout the models in production environment to perfect business decisions. Lead projects, coach junior data scientists, and maintain a collaborative relationships with business partners. Responsibilities: · Deeply understand business needs and translate business needs to a technical project. · Identify appropriate data sources to use. Perform data aggregations and feature engineering as needed. · Write Python programming code to make visualizations, build and implement models. · Be flexible and open to innovative ideas and alternative ways of solving problems. · Present the results to non-tech partners and influence them to use predictive models. · Coach junior associates during the projects Experience: · Master's degree (or higher) in Statistics, Data Science, Mathematics, Economics or related analytical discipline. · At least 5 years' experience in building end-to-end models in python through production. · At least 2 years' experience in leading projects and coaching junior associates. Skills: · Proficiency in SQL and Python programming languages · In-depth understanding of statistical knowledge and machine learning algorithms. Exposure to some Large Language Models is nice to have. · Specifically, expertise with the following techniques is a must-have to perform daily work: Linear Regression and GLM, Random Forest, GBM, XGboost, various segmentation techniques etc. · Excellent communication skills · Ability to work on large-scale cross functional projects. · Ability to lead mid-scale projects and coach junior associates.