Data Scientist

Curate Partners LLC; United States; On-site; USD 90,000 - 130,000; Full time

Job summary

Curate Partners LLC is seeking a Data Scientist to analyze large healthcare datasets and build machine learning models to drive data-informed decisions. You will write SQL queries, use Python for data prep and modeling, and translate findings into actionable business recommendations.

The role emphasizes collaboration with cross-functional teams and presenting insights through visualizations and reports. A quantitative degree and hands-on ML experience are expected.

Qualifications

• Bachelor's degree in a quantitative field required; master's preferred.
• 2+ years in data science or related analytics role.
• Proficient in SQL and Python for data analysis.
• Experience building and evaluating machine learning models.
• Strong statistics knowledge: regression, hypothesis testing, predictive analytics.
• Ability to communicate complex technical concepts clearly.

Responsibilities

• Analyze large datasets to identify trends and opportunities.
• Develop, validate, and deploy statistical and ML models.
• Write SQL queries to extract and analyze data from multiple sources.
• Use Python for data prep, exploratory analysis, feature engineering, and modeling.
• Conduct hypothesis testing and model evaluation.
• Translate findings into actionable recommendations for business stakeholders.
• Partner with cross-functional teams to define requirements and drive data-driven decisions.
• Present insights through visualizations, reports, and presentations.

Skills

SQL

Python

ML models

Statistical analysis

Data storytelling

Education

Bachelor's degree in quantitative field

Master's degree preferred

Tools

Tableau

Power BI

AWS

Azure

GCP

Job description

**THIS POSITION REQUIRES WORKING DIRECTLY ON OUR W2 (EAD, OPT, USC, GC, H4)

NO THIRD PARTY!

Position Overview

We are seeking a highly analytical and detail-oriented Data Scientist for our enterprise healthcare client. This individual will leverage data to solve complex business problems, uncover actionable insights, and support strategic decision-making. The ideal candidate will possess strong technical skills in SQL and Python, hands‑on experience with machine learning and statistical analysis, and a solid educational foundation in a quantitative field.

Key Responsibilities

• Analyze large and complex datasets to identify trends, patterns, and business opportunities.
• Develop, validate, and deploy statistical and machine learning models to support business objectives.
• Write efficient SQL queries to extract, transform, and analyze data from multiple sources.
• Utilize Python to perform data preparation, exploratory analysis, feature engineering, and predictive modeling.
• Conduct hypothesis testing, statistical analysis, and model performance evaluation.
• Translate technical findings into clear, actionable recommendations for business stakeholders.
• Partner with cross-functional teams to define requirements, solve analytical challenges, and drive data-informed decisions.
• Present insights and recommendations through visualizations, reports, and presentations.

Required Qualifications

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Engineering, or a related quantitative discipline.
• Master's degree in Data Science, Statistics, Analytics, Machine Learning, Computer Science, or a related field strongly preferred.
• 2+ years of experience in data science, advanced analytics, or a related analytical role.
• Strong proficiency in SQL for data extraction, manipulation, and analysis.
• Strong proficiency in Python for data analysis and model development.
• Experience building and evaluating machine learning models.
• Strong understanding of statistical concepts, including regression, hypothesis testing, experimentation, and predictive analytics.
• Exceptional analytical, critical thinking, and problem‑solving abilities.
• Ability to communicate complex technical concepts to both technical and non‑technical audiences.

Preferred Qualifications

• Experience working with large‑scale datasets in cloud environments (AWS, Azure, or GCP).
• Familiarity with data visualization tools such as Tableau or Power BI.
• Experience working in Agile environments and collaborating with cross-functional teams.

Technical Assessment Requirement

Please note: As a required first step in the interview process, candidates must successfully complete a technical assessment focused on SQL, Python, statistical analysis, and analytical problem‑solving. Progression in the interview process is contingent upon successful completion of this assessment.

This position is ideal for candidates who enjoy leveraging data, statistics, and machine learning to solve complex business challenges and deliver measurable impact!!