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InMarket is an advertising, marketing, and analytics company that provides real-time marketing and measurement solutions. Its platform helps brands connect consumer intent with real-world commerce by using data and analytics to shape campaigns, evaluate advertising performance, and measure outcomes such as visits and sales lift. InMarket also works with major platforms, including Reddit, to support campaign measurement and attribution with an emphasis on effectiveness and privacy.
Senior Data Scientist, Advertising Measurement
Develop causal inference, machine learning, and AI solutions for InMarket’s advertising measurement platform. Advance prototypes from research into production at scale.
Description
- Partner with product stakeholders to build prototypes and bring early ideas into production.
- Own key advertising measurement products, expanding their capabilities and improving performance.
- Investigate data and systems, test prototypes through experiments, and recommend new products or enhancements.
- Work with engineering and product teams to advance the platform’s causal inference and attribution-based measurement.
- Design, build, and deploy machine learning and AI solutions for advertising measurement products.
- Apply data science, machine learning, and AI to petabyte-scale datasets.
- Work with data analysts, account managers, product teams, and engineers to create solutions that maximize ROI.
Requirements
- Bachelor’s degree in statistics, computer science, economics, operations research, or a similar quantitative field; a graduate degree is preferred.
- Strong understanding of modern data science, artificial intelligence, and machine learning.
- At least five years applying modern statistical marketing models, Bayesian statistics, and causal inference to complex data-driven problems.
- Programming skills, preferably in Python and its data science ecosystem, plus SQL and an interest in writing production code.
- Excellent communication skills and the ability to present methods and findings to audiences with varied technical backgrounds.
- Demonstrated ownership of projects and outcomes from research and prototyping through production deployment.
- Experience with Claude Code, Codex, or a similar tool.
- Experience with agentic development.
Benefits
- Competitive salary
- Stock options
- Flexible vacation
- Medical insurance
- Dental insurance
- Flexible Spending Account (FSA)
- Company-matched 401(k)
- Unlimited paid time off, within reason
- Agile development program for ongoing learning and professional development
- Paid parental leave for mothers and fathers
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