Sales Data Science Director

About Foursquare 

Foursquare is the leading independent location technology and data cloud platform, helping businesses connect the digital and physical worlds with precision and purpose. Our products power everything from market analytics to targeted experiences, relied on by some of the world’s most iconic brands.

But what makes Foursquare truly special is how we work. We're a team of builders, problem-solvers, and collaborators who care deeply about impact - both in the products we ship and the way we show up for each other. Great outcomes come from strong collaboration and shared ownership, and we believe growth happens through real challenges - whether that’s leveling up a skill, tackling unfamiliar problems, or pushing a project forward in a new way. If you're excited by cutting-edge tech and a culture that values both autonomy and teamwork, you’ll thrive here.

About the Position

Foursquare is looking for a business-savvy Sales Data Science Director to join our team in our New York office; on a hybrid schedule of Tuesday, Wednesday, Thursday in office.

You will partner up directly with the Sales and Customer Operations teams to power our Measurement / Attribution offerings. This role bridges deep technical skill with client-facing storytelling - helping translate complex data into actionable insights that drive advertiser success and strengthen Foursquare’s market leadership.

You will serve as a go-to expert on measurement science, guiding our sales teams in positioning, diagnosing client reporting challenges, and crafting narratives that bring Foursquare’s data to life. You’ll also represent Foursquare in the broader marketing analytics community, contributing to industry events, panels, and thought leadership that advance our reputation as a trusted authority in location-based measurement. 

This role will aid to bridge a gap in technical product understanding between engineering and data science and the sales organization.

In this role you'll focus on

Sales & Client Enablement

• Partner with New Logo (Account Executives), Existing Business (Account Managers) sales teams and our Partner Managers managing our channel partnerships to develop and present data-driven insights that reinforce the value of Foursquare’s measurement and attribution solutions.
• Build and maintain scalable query templates and dashboards to support pre-sale insights and post-campaign storytelling.
• Translate complex statistical analyses into clear, visually compelling narratives that support sales pitches and renewals.
• Collaborate with Marketing & Enablement to standardize best practices for measurement storytelling across verticals (Retail, QSR, CPG, Auto, etc.).

Client Diagnosis & Reporting Excellence

• Troubleshoot discrepancies and data integrity issues in campaign reporting; liaise with Product, Engineering, and Activation to ensure accurate and timely delivery.
• Conduct deep-dive analyses to explain performance variations, validate model outputs, and identify optimization opportunities.
• Provide consultative expertise to key clients on how to interpret Foursquare’s metrics versus industry benchmarks.

Thought Leadership & Industry Engagement

• Represent Foursquare as a measurement expert at client summits, trade conferences, and industry events.
• Collaborate with Marketing to publish white papers, case studies, and blog posts on advanced measurement methodologies and attribution innovation.
• Monitor industry trends (privacy, MMM, incrementally testing, retail media networks) and distill insights for internal education and external positioning.

Cross-Functional Collaboration

• Partner closely with Data Science & Engineering to influence roadmap priorities based on client feedback and emerging needs.
• Work with GTM leadership to continuously evolve Foursquare’s measurement narrative and strengthen differentiation in the market.

What you'll need

• Bachelor’s or Master’s degree in Statistics, Data Science, Mathematics, Economics, Computer Science, or a related quantitative field.
• 6+ years of experience in marketing analytics, ad measurement, or data science (preferably within ad tech, martech, or digital media).
• Deep understanding of attribution models, lift studies, MMM, and campaign performance metrics.
• Expertise in SQL and Python/Pyspark.
• An excellent understanding of data science and machine learning concepts, with hands-on experience with a broad range of research & analytics tools, including emerging tools and methods.
• Proven ability