Data Scientist - Measurement

InMarket

1d•$135,000 - $155,000•Remote

About The Position

InMarket is hiring a Data Scientist to conceptualize, develop, and deploy machine learning and AI solutions for its advertising measurement products. The role focuses on intelligent, adaptive solutions that operate at scale and use modern causal inference, marketing statistical methods, and AI. The Data Scientist will collaborate with 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 AI tools support faster progress from idea to production. The role includes developing prototypes and advancing early-stage ideas through production, taking ownership of core advertising measurement products, exploring data and systems, validating ideas through experiments, and helping expand the company’s causal inference and attribution-based measurement platform. The position is remote and limited to candidates in the United States.

Requirements

Bachelor’s degree in Statistics, Computer Science, Economics, Operations Research, or a similar quantitative field.
Solid understanding of modern data science, AI, and machine learning.
At least 3 years of experience applying modern statistical marketing models, Bayesian statistics, and causal inference to complex, data-driven problems.
Programming proficiency, preferably in Python and its data science stack, and SQL; willingness to write production code.
Excellent communication skills and ability to present methodologies and findings to audiences with varying technical backgrounds.
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 such as AWS or GCP, particularly GCP.
Experience with BigQuery.
Familiarity with the digital media or advertising industry.
Experience with Spark.

Responsibilities

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 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.