Data Scientist - Measurement

About InMarket

Since 2010, InMarket has been the leader in 360-degree consumer intelligence and real-time activation for thousands of today’s top brands. Through InMarket’s data-driven marketing platform, brands can build targeted audiences, activate media in real time, and measure success in driving return on ad spend. InMarket’s proprietary Moments offering outperforms traditional mobile advertising by 6x.* Our LCI attribution platform, which won the MarTech Breakthrough Award for Best Advertising Measurement Platform, was validated by Forrester to drive an average of $40 ROAS for our clients.

*Source: Wordstream US Google Display Benchmarks for Mobile Media

About the Role

AI Engineering is a core driver of InMarket’s product design and innovation. As an AI Engineering team member, you will have the opportunity to leverage cutting-edge data science, machine learning, and AI on petabytes of data in ways that make a large and lasting impact on the company. We take on greenfield projects and launch entirely new products, giving you the opportunity to take large amounts of ownership and shape our technology stack.

Your role is to conceptualize, develop, and deploy the core machine learning and AI solutions that power our industry-leading advertising measurement products. These solutions will be intelligent, adaptive, operate at scale, and be based on modern causal inference, marketing statistical methods, and AI. You will collaborate closely with data analysts, account managers, product teams, and engineering to understand our business and rapidly iterate on solutions that maximize ROI. We’re an AI-forward organization, and agentic development is core to how we work—AI Engineering is constantly experimenting with AI tools to move from idea to production faster than ever.

Your Daily Impact as Data Scientist

• Work with senior team members and product stakeholders to develop prototypes and take early-stage ideas through to production
• Take ownership of core advertising measurement products to expand our capabilities and push our performance boundaries
• Explore our data and systems, prototype ideas, run experiments to validate them, and propose new products or advancements
• Collaborate closely with our engineering and product teams to expand our causal inference and attribution-based measurement platform

Your Experience & Expertise

• A Bachelor's in Statistics, Computer Science, Economics, Operations Research, or a similar quantitative field (graduate degree preferred)
• Solid understanding of modern data science, AI, and machine learning
• At least 3 years of experience with applying modern statistical marketing models, Bayesian statistics, and causal inference to solve complex, data-driven problems
• Programming proficiency (preferably Python, its data science stack, and SQL) and desire to write production code
• Excellent communication skills and the ability to present methodologies and findings to audiences with varying technical backgrounds
• Experience using Claude Code, Codex, or similar
• Experience with agentic development

Nice to Haves

• Experience building and supporting Media Mix Modeling (MMM)
• Experience working in modern cloud infrastructure environments like AWS and GCP is a big plus—particularly, GCP
• Experience with BigQuery
• Familiarity with the digital media/advertising industry is a big plus
• Experience with Spark