Associate Director, 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 250 team members in six countries and ten offices — Berlin, Brussels, Chicago, D.C., Düsseldorf, 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.

The Impact You Will Make

In this role, you’ll use analytics and data science to target and measure campaigns for public affairs clients. You’ll use audience data to define the right audiences for media campaigns to target, integrate findings from message research into our analytics approach, use survey data from our Vantage product to understand what works to persuade people in those campaigns, and work with Decibel, our competitive tracking product, to help our clients understand what their peers and competitors are doing and saying.

To get there, you’ll also manage day-to-day work of 1-2 data scientists, overseeing their work and coaching them to become more effective analysts, and collaborate with our cross-functional internal teams to connect analytics to paid media strategy, creative, and research.

You’ll also play a key role in projects that define and improve the BPI offering, from working on new features for analysis scripts to help analysts measure how ads change peoples’ minds to finding new ways that we can integrate generative AI into our product offerings.

• Salary range: $115,000 - $125,000
• Location: Expectation to work from one of our offices (NY, DC, Chicago, SF, LA) at least 3x a week

What the Day-to-Day Looks Like

• Design and execute experiments to measure the impact of cross-channel marketing campaigns (both RCT and causal inference)
• Identify and build audiences for campaign targeting from a variety of data sources, and then better understand that audience using media consumption data
• Using predictive modeling and machine learning to better understand how audiences engage with content and to better understand text from news and social media monitoring
• Derive insights about consumption habits across channels, properties, brands, and contentBlend behavioral insights with opinion data to develop a holistic picture of an audience
• Experiment with new tools like generative AI to responsibly enhance our current deliverables and make common tasks more efficient
• Work with our Survey Ops group and external vendors to develop fielding plans, run multi-modal surveys, and analyze data to ensure representativeness and accuracy. 
• Find new ways to integrate generative AI and machine learning into the tasks we do everyday to help our team ship deeper work more quickly
• Evaluate new data sources and partnerships and make recommendations to improve our offerings
• Serve as an internal and client facing SME and effectively translate complex statistical ideas to digestible client ready deliverables 

Requirements

What You Bring

• 5+ years of analytics and data science experience. Experience with political campaigns or corporate public affairs strongly preferred.
• Proven expertise in successfully managing at least 1-2 direct reports and mentoring entry-mid level team members
• Demonstrated expertise using R or Python to analyze datasets and build client deliverables. You have strong opinions about how to write an effective analysis script because you’ve written a lot of them to solve business problems.
• Keen eye for detail and visual polish to build client-facing decks and memos that translate complicated data and analytics for non-technical clients and other stakeholders
• Demonstrated experience using statistical modeling, predictive analytics, and/or causal inference to solve problems. You can find the right statistical or analytical tool for the job at hand, work through the data with that approach, and then explain the results in client-facing language.
• Proficiency in explaining and translating analytics results for non-technical audiences to help improve their day-to-day work and optimize campaigns
• Intellectually curious with a strong sense of data intuition and critical thinking. You think in first principles and are able to spot discrepancies in a data set from a mile away.
• A product-focused mindset. After you’ve done a task for the first time, you can articulate a plan to scale and systematize it across a team and you’re excited to work with engineers to lay out the blueprint