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 relationship 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.