Position Responsibilities: Apply a variety of methods including data mining, statistical analysis, predictive modeling and analysis, correlation analysis, probability analysis, and network analysis to solve business problems Develop and implement machine learning models and deliver accurate and quality analyses that translate data into actionable insights to support sound business decisions Use the most effective machine learning techniques to answer data science questions, define data requirements for model development, develop models, and evaluate model performance Document projects including business objectives, data gathering and processing, leading approaches, final algorithm, detailed set of results and analytical metrics Work with peers, Senior Data Scientists and Data SMEs to produce correct modeling techniques Document lessons learned and process improvement techniques Other duties as assigned Required Education and Experience: Bachelor's Degree in Data Science, Applied Mathematics, Computer Science, Statistics, Business Analytics or a field closely related to Data Science specialization and 3 to 5 years of experience in quantitative or computational functions or High School Diploma/General Education Diploma and 6 to 8 plus years of the above experience Preferred Education and Experience: Master's Degree in Data Science, Applied Mathematics, Computer Science, Statistics, Business Analytics or a field closely related to Data Science specialization Understanding of data structures, algorithms, and distributed computing, both for data and optimization Familiarity to AI, Machine Learning NLP, including new and emerging technologies in Machine Learning/Deep Learning Knowledge of frameworks such as PyTorch, TensorFlow, MLflow Caffe etc. Exposure to Geo Spatial Data, Demography Data Experience with SQL Development, Stored Procedures, Data Analysis and Data Profiling Experience with Snowflake, Databricks, Azure ML Cloud Services Benefits At the Reyes Family of Businesses, our Total Rewards Strategy prioritizes the holistic well-being of our employees.