Lead Data Scientist: Strategic Analytics for Growth

Chamberlain Group; South Carolina; Hybrid; USD 103,000 - 193,000; Full time

Job summary

Chamberlain Group is seeking a senior data scientist to partner with executives and build advanced analytics solutions. You will translate business priorities into predictive and prescriptive models and scalable insights that drive growth and decision-making.

The role requires strong leadership, deep statistical knowledge, and expertise in Python, SQL, and cloud data platforms. Hybrid work in the United States is supported, with extensive cross‑functional collaboration across business units.

Qualifications

• Master’s degree in data science, statistics, mathematics, econometrics, engineering, or other quantitative field.
• 5+ years of relevant work experience.
• Expert knowledge of statistics and machine learning methods, including regression, classification, time series analysis, clustering, simulation, dimension reduction.

Responsibilities

• Build relationships with business leaders to understand strategy, KPIs and goals.
• Identify and apply analytical techniques to achieve business objectives.
• Design, develop, and deploy analytics solutions including predictive outputs and visualizations.
• Support solution development with data gathering, cleansing, transformation, and modeling.
• Lead projects with internal and external teams and ensure quality standards.

Skills

Statistics & ML

Python

R

SQL

Communication

Project leadership

Problem solving

Education

Master’s degree in data science or quantitative field

Doctorate (preferred) in data science or quantitative field

Tools

Databricks

Azure

Power BI

Job description

Chamberlain Group is seeking a senior data scientist to partner with executives and build advanced analytics solutions. You will translate business priorities into predictive and prescriptive models and scalable insights that drive growth and decision-making.

The role requires strong leadership, deep statistical knowledge, and expertise in Python, SQL, and cloud data platforms. Hybrid work in the United States is supported, with extensive cross‑functional collaboration across business units.