Data Scientist

*THIS POSITION REQUIRES WORKING DIRECTLY ON OUR W2 (EAD, OPT, USC, GC, H4) NO THIRD PARTY! Data Scientist We are seeking a Data Scientist to join a growing analytics and AI team focused on solving complex business challenges through data-driven insights. This individual will leverage statistical analysis, machine learning, and generative AI technologies to develop scalable solutions, drive decision-making, and uncover opportunities across large and diverse datasets. Responsibilities Analyze structured and unstructured data to identify trends, patterns, and actionable insights. Develop, test, and deploy predictive models, machine learning algorithms, and advanced analytical solutions. Use SQL and Python to extract, transform, and analyze large-scale datasets. Design and execute statistical analyses, including hypothesis testing, regression modeling, forecasting, and experimentation. Build and evaluate LLM-powered and Generative AI solutions to support business and operational objectives. Partner with cross-functional stakeholders to understand business needs and translate them into analytical approaches. Present findings and recommendations to technical and non-technical audiences. Monitor model performance and recommend improvements based on results and business outcomes. Maintain data quality and adhere to enterprise governance and security standards. Required Qualifications Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field. - FROM THE USA 3+ years of experience in Data Science, Machine Learning, or Advanced Analytics. Strong proficiency in Python for data analysis, machine learning, and model development. Advanced SQL skills with experience working with large and complex datasets. Hands-on experience with Large Language Models (LLMs) and Generative AI technologies. Strong foundation in statistical analysis , including hypothesis testing, regression, classification, clustering, and experimental design. Experience building and validating machine learning models. Strong problem-solving, analytical, and communication skills. Healthcare domain knowledge, payer/provider experience, pharmacy analytics, clinical data, or population health analytics.