Data Scientist

Job Description

*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

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• Analyze structured and unstructured data to identify trends, patterns, and actionable insights.
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• Develop, test, and deploy predictive models, machine learning algorithms, and advanced analytical solutions.
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• Use SQL and Python to extract, transform, and analyze large-scale datasets.
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• Design and execute statistical analyses, including hypothesis testing, regression modeling, forecasting, and experimentation.
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• Build and evaluate LLM-powered and Generative AI solutions to support business and operational objectives.
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• Partner with cross-functional stakeholders to understand business needs and translate them into analytical approaches.
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• Present findings and recommendations to technical and non-technical audiences.
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• Monitor model performance and recommend improvements based on results and business outcomes.
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• Maintain data quality and adhere to enterprise governance and security standards.
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Required Qualifications

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• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field. - FROM THE USA
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• 3+ years of experience in Data Science, Machine Learning, or Advanced Analytics.
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• Strong proficiency in Python for data analysis, machine learning, and model development.
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• Advanced SQL skills with experience working with large and complex datasets.
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• Hands-on experience with Large Language Models (LLMs) and Generative AI technologies.
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• Strong foundation in statistical analysis , including hypothesis testing, regression, classification, clustering, and experimental design.
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• Experience building and validating machine learning models.
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• Strong problem-solving, analytical, and communication skills.
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Healthcare domain knowledge, payer/provider experience, pharmacy analytics, clinical data, or population health analytics.