Applied Data Scientist: ML, SQL & Healthcare Analytics

Curate Partners LLC; United States; Vor Ort; USD 90.000 - 130.000; Vollzeit

Zusammenfassung

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.

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

SQL

Python

ML models

Statistical analysis

Data storytelling

Ausbildung

Bachelor's degree in quantitative field

Master's degree preferred

Tools

Tableau

Power BI

AWS

Azure

GCP

Jobbeschreibung

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.