Senior Data Scientist: Lead Campaign Analytics

Job Post; Washington (District of Columbia); On-site; USD 50,000 - 55,000; Full time

Job summary

Analyst Institute in Washington, DC is seeking an experienced Senior Data Scientist to lead complex analytical projects and help progressive organizations understand what works, why it works, and how to improve impact.

You will collaborate with research, data, and campaign teams to design analytical approaches, evaluate program effectiveness, develop statistical models, and translate findings into practical recommendations for non-technical stakeholders.

Qualifications

• Advanced degree or equivalent experience in a quantitative field.
• Significant professional experience in data science or applied research.
• Proficiency in Python or R and SQL with large datasets.

Responsibilities

• Lead the design and execution of statistical analyses and data science projects.
• Develop models and analytical methods to measure campaign effectiveness.
• Apply experimental design, causal inference, and statistical techniques to evaluate interventions.
• Work with large and complex datasets, ensuring data quality and analytical reliability.
• Build reproducible data pipelines and analytical workflows.
• Communicate findings through reports, presentations, and clear visualizations.
• Collaborate with researchers, analysts, and partner organizations to identify meaningful research questions.
• Mentor junior team members and contribute to best practices in data science and research.
• Help translate complex analytical findings into actionable recommendations.

Skills

Strong communication

Project management

Mentoring

Education

Advanced degree in statistics, data science, or related quantitative field

Tools

Python

R

SQL

Job description

Analyst Institute in Washington, DC is seeking an experienced Senior Data Scientist to lead complex analytical projects and help progressive organizations understand what works, why it works, and how to improve impact.

You will collaborate with research, data, and campaign teams to design analytical approaches, evaluate program effectiveness, develop statistical models, and translate findings into practical recommendations for non-technical stakeholders.