Data Scientist - Measurement

This Staff Data Scientist role owns measurement strategy, experimentation infrastructure, and high-leverage causal models (pricing, ranking, user incentives) that drive unit economics. The role requires deep causal inference expertise (propensity matching, DID, synthetic control, IV) and production deployment experience in AdTech or user incentive systems. Responsibilities include technical leadership, mentoring, and cross-functional influence with Product and Engineering.

Lead data science initiatives for the incrementality measurement platform, focusing on advanced statistical modeling and causal inference to quantify marketing value. Collaborate with product and engineering teams to integrate ML models into the platform.

Drive marketing science methodologies and analyses to help advertisers measure incrementality and optimize budget allocation. Work closely with clients and internal teams to deliver actionable insights.

Builds and scales production-grade measurement products including MMM, Incrementality, and Recommendation Systems. Translates statistical and causal inference methodologies into reliable, customer-facing systems, owning the full lifecycle from model development to deployment, monitoring, and operational support.

This role is responsible for selling InMarket's location-derived measurement and attribution solutions directly to brands and agencies. The Sales Director will manage a territory from prospecting to farming, cultivate key relationships, and collaborate with sales leadership to evangelize the product suite. Success requires prior sales experience in location advertising or data companies, with a focus on measurement solutions and strategic partnerships.

This senior role develops and deploys machine learning and AI solutions for InMarket's advertising measurement products, owning projects from prototyping to production. The data scientist applies causal inference, Bayesian statistics, and statistical marketing models to petabytes of data, collaborating with product and engineering teams to expand the attribution platform. Requires strong Python and SQL skills and experience with agentic development tools like Claude Code.

This executive role owns the entire post-sale client experience, overseeing Activation, Measurement, and Audiences lines. The SVP is accountable for retention, expansion, net revenue retention, and building a scalable client operations engine. This position requires scaling client-facing teams, implementing AI-driven workflows, and leading a unified Account Management and Operations organization.