Hybrid Data Scientist for Reporting & Analytics

Northwestern University; Evanston (IL); Hybrid; USD 90,000 - 93,000; Full time

Job summary

Northwestern University in Evanston, IL seeks a Data Scientist to enable data-driven fundraising and engagement strategies. You will focus on advanced analytics, predictive modeling, and data engineering to deliver scalable data science solutions within the advancement ecosystem.

The role requires translating stakeholder questions into scalable data-driven solutions and communicating insights to non-technical audiences.

Qualifications

• Bachelor's degree in data science, statistics, computer science, or related field.
• 3-5 years experience in data science, advanced analytics, or quantitative roles.
• Strong proficiency in SQL (Oracle preferred) and Python (modeling, data manipulation).

Responsibilities

• Develop and deploy predictive models to support fundraising, campaigns, and operations.
• Partner with senior leadership to identify opportunities where data science drives impact.
• Design data pipelines and feature engineering for model development and deployment.
• Translate complex analytics into clear, actionable insights for non-technical stakeholders.
• Collaborate with reporting and IT teams to integrate model outputs into CRM and dashboards.
• Ensure data quality, integrity, and governance across analytics work.
• Monitor model performance and refine approaches with new data and business needs.
• Contribute to building a scalable analytics ecosystem within the organization.

Skills

SQL

Python

Data visualization

Fundraising analytics

Education

Bachelor's degree in Data Science, Statistics, Computer Science, or related field

Tools

Tableau

Cognos

Salesforce CRM Analytics

Azure ML

Job description

Northwestern University in Evanston, IL seeks a Data Scientist to enable data-driven fundraising and engagement strategies. You will focus on advanced analytics, predictive modeling, and data engineering to deliver scalable data science solutions within the advancement ecosystem.

The role requires translating stakeholder questions into scalable data-driven solutions and communicating insights to non-technical audiences.