Data Scientist – Measurement

InMarket

. Conceptualize, develop, and deploy core machine learning and AI solutions powering advertising measurement products .

Posted 10/17/2026full-timeRemote • United StatesMid-LevelSenior💰 $135,000 - $155,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and deploying machine learning and AI solutions for advertising measurement, with a strong foundation in statistical marketing models and causal inference. Proficient in collaborating with cross-functional teams to drive product innovation and maximize ROI.

Highest-signal resume keywords

Machine Learning Solutions DevelopmentStatistical Marketing ModelsProgramming Proficiency in PythonCausal Inference ExpertiseExcellent Communication Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningAI SolutionsStatistical AnalysisBayesian StatisticsCausal InferencePython ProgrammingSQLData SciencePrototypingProduction Code Writing

Soft Skills

Communication SkillsCollaborationProblem-Solving

Tools & Technologies

Claude CodeCodexData Science Stack

Industry Keywords

Advertising MeasurementData-Driven SolutionsROI MaximizationAgentic Development

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Conceptualize, develop, and deploy core machine learning and AI solutions powering advertising measurement products
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 and expand capabilities
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
Collaborate with data analysts, account managers, product teams, and engineering to understand business needs and rapidly iterate on solutions maximizing ROI

Requirements

What you’ll need

Bachelors in Statistics, Computer Science, Economics, Operations Research, or similar quantitative field (graduate degree preferred)
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 solve complex, data-driven problems
Programming proficiency, preferably Python, its data science stack, and SQL
Desire 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
Experience with agentic development

Benefits

Comp & perks

Competitive salary
Stock options
Flexible vacation
Medical insurance
Dental insurance
Flexible Spending Account (FSA)
Company Matched 401(k)
Unlimited PTO (Within reason)
Talented co-workers and management
Agile Development Program (For continued learning/professional development)
Paid Paternity & Maternity Leave
Bonus may be included in the total rewards package
Equity may be included in the total rewards package