Data Scientist
About the role
*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.
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.
Qualifications
- Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field.
- 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.
Skills mentioned
About Curate Partners
Curate Partners is a consulting and talent solutions firm helping organizations move with clarity and speed in complex, regulated environments. We blend consulting and specialized talent to drive strategy and execution across data, AI, digital transformation, and customer experience. Our Purple Squirrels are highly specialized practitioners who strengthen delivery from day one. Our work is powered by data, accelerated by AI, and shaped by people, delivering practical, accountable outcomes from strategy through execution.