Sr. Data Scientist - Measurement

InMarket

2d•$160,000 - $195,000•Remote

About The Position

InMarket’s AI Engineering team applies data science, machine learning, and AI to large-scale data to develop products and technology. The Senior Data Scientist will conceptualize, develop, and deploy machine learning and AI solutions for advertising measurement products. Solutions should be intelligent, adaptive, scalable, and based on modern causal inference, marketing statistical methods, and AI. The role involves collaborating with data analysts, account managers, product teams, and engineering to understand business needs and rapidly iterate on solutions that maximize ROI. InMarket describes itself as an AI-forward organization where agentic development and experimentation with AI tools support moving ideas into production. The position is remote within the United States. It offers ownership of advertising measurement products and the opportunity to develop prototypes, validate ideas through experiments, and bring early-stage ideas into production.

Requirements

Bachelor’s degree in Statistics, Computer Science, Economics, Operations Research, or a similar quantitative field.
At least 5 years of experience applying modern statistical marketing models, Bayesian statistics, and causal inference to complex, data-driven problems.
Solid understanding of modern data science, AI, and machine learning.
Programming proficiency, preferably in Python, its data science stack, and SQL, and a desire to write production code.
Excellent communication skills and the ability to present methodologies and findings to audiences with varying technical backgrounds.
Proven track record of owning projects and outcomes from research and prototyping through production deployment.
Experience using Claude Code, Codex, or similar tools.
Experience with agentic development.

Nice To Haves

Graduate degree.
Experience building and supporting Media Mix Modeling (MMM).
Experience with modern cloud infrastructure environments such as AWS and GCP, particularly GCP.
Experience with BigQuery.
Familiarity with the digital media or advertising industry.
Experience with Spark.

Responsibilities

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