Senior Data Science Leader - Strategy, Analytics, and Impact

Chamberlain Group; Oak Brook (IL); Hybrid; USD 130,000 - 227,000; Full time

Benefits offered by this job

Benefits package

401k contribution

Job summary

Chamberlain Group in Illinois seeks a senior data science leader to drive strategy and execution of advanced analytics. You will manage a high-performing team, partner with business leaders to define KPIs, and deliver predictive and prescriptive analytics that impact key initiatives.

The role emphasizes stakeholder collaboration, mentoring talent, and scaling analytics across the organization. A strong track record in ML and cloud data platforms is expected.

Qualifications

• Bachelor's degree in data science, statistics, mathematics, econometrics, engineering, or other quantitative field.
• 8+ years of relevant work experience; 2+ years directly managing data scientists.
• Expert knowledge of statistics and advanced analytical and ML techniques; experience in ML algorithms.

Responsibilities

• Build relationships with business leaders and understand their KPIs with shared ownership of goals.
• Lead, manage, and coach data scientists; recruit and onboard talent.
• Drive development and execution of data science practices and methodology.
• Lead technical engagements with stakeholders and senior leaders.
• Be a catalyst for advanced analytics across Chamberlain Group.

Skills

Statistics

Forecasting

Predictive modeling

Machine learning

Communication

Team leadership

Problem solving

Education

Bachelor's degree in quantitative field

Master's or Doctorate in data science / related field

Tools

Python

R

SQL

Databricks

Azure

Job description

Chamberlain Group in Illinois seeks a senior data science leader to drive strategy and execution of advanced analytics. You will manage a high-performing team, partner with business leaders to define KPIs, and deliver predictive and prescriptive analytics that impact key initiatives.

The role emphasizes stakeholder collaboration, mentoring talent, and scaling analytics across the organization. A strong track record in ML and cloud data platforms is expected.