This is a REMOTE contract position ALL candidates MUST be able to work on a W2, this position is not for C2C Data Scientist We are seeking a highly analytical and technically strong Data Scientist to join our team. This individual will use advanced data analysis, statistical techniques, and modern data science technologies to turn complex datasets into meaningful insights and solutions that support business and product decisions. The ideal candidate will have exceptional hands-on Python and SQL skills, a strong quantitative foundation, statistical mindset, and experience working with large, complex datasets. Experience with Artificial Intelligence, Machine Learning, or healthcare data is also needed.

Key Responsibilities

Analyze large, complex datasets using Python and SQL to identify trends, patterns, opportunities, and actionable insights. Develop, test, and implement statistical and data science models that address real-world business challenges. Write advanced SQL queries for data extraction, transformation, validation, and analysis. Build reusable Python-based analytical solutions and data pipelines. Perform exploratory data analysis, feature engineering, model development, validation, and performance evaluation. Partner with engineering, product, analytics, and business stakeholders to translate business problems into data-driven solutions. Communicate analytical findings and recommendations clearly to both technical and non-technical stakeholders. Ensure accuracy, scalability, documentation, and reproducibility of analytical solutions.

Required Qualifications

Strong professional experience utilizing Python for data science, analytics, or advanced data processing. Advanced SQL skills with demonstrated experience querying and analyzing complex datasets. Strong understanding of statistics, data analysis, predictive modeling, and quantitative methods. Experience working with common Python data science libraries such as pandas, NumPy, scikit-learn, or comparable technologies. Demonstrated ability to take a complex business problem from initial data exploration through analysis and delivery of actionable results. Strong analytical, problem-solving, and communication skills. Education from a U.S. Ivy League institution: Brown University, Columbia University, Cornell University, Dartmouth College, Harvard University, University of Pennsylvania, Princeton University, or Yale University. Hands-on Artificial Intelligence or Machine Learning experience. Experience developing, training, evaluating, or implementing ML models. Experience with generative AI, NLP, predictive analytics, or other advanced AI applications. Healthcare industry experience. Experience analyzing healthcare-related datasets such as claims, member, provider, payer, clinical, or patient data. Experience operating in a highly regulated or data-sensitive environment.