Senior Associate, Data Science

Bully Pulpit International is an outcomes agency made up of strategists, data scientists, and artists. We come from politics, brands, and government and we communicate without barriers and measure what matters. We have more than 400 team members in six countries and thirteen offices - Berlin, Brussels, Chicago, D.C., London, Los Angeles, New York, Oslo, San Francisco, and Zürich. We apply our unique expertise across strategic communications, public affairs, research, and digital marketing to create sophisticated and customized strategies that make change possible for both American and European clients.

• Starting Salary Range: $90,000 - $100,000 (+ annual bonus)
• Location: Expectation to work from DC, New York, Chicago, SF or LA offices at least 3 days a week

The Impact You Will Make

In this role, you'll lead projects using targeting, measurement, and competitive reporting to run more effective campaigns for corporate public affairs clients, while helping to advance our data science capabilities:

Driving integrated analytics projects: You'll independently lead analytics efforts across complex client accounts - defining target audiences, measuring what works to persuade them, and tracking what other campaigns and news they're seeing to help clients understand market dynamics.

Advancing our capabilities with new data and techniques: You'll improve our suite of data science offerings using AI tools and new methodologies to run more effective campaigns and deliver deeper insights to our clients.

Consulting and project management: You'll own the execution of entire workstreams, coordinating between clients and teams (including other specialty teams at BPI) and refining internal processes to work more efficiently and effectively.

What the Day-to-Day Looks Like

• Design and execute experiments to measure the impact of public affairs and reputational advertising campaigns using surveys with RCT and causal inference methodologies.
• Identify and build target audiences from varied data sources and analyze channel consumption habits and then blend that data with opinion data to build a comprehensive understanding of our audiences.
• Translate complex statistical concepts and data into polished, client-ready decks and memos for non-technical stakeholders, including visualizing data.
• Leverage statistics, predictive models, and advanced analytical tools like machine learning to analyze audience engagement and derive insights from news and social media monitoring.
• Experiment with new data sources and AI tools to enhance deliverables and scale repeatable team tasks.
• Coordinate project timelines and workflows across cross-functional internal teams.