Job description

Job Title: Senior Data Scientist - Measurement Location: Remote - US Only 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 Senior Data Scientist Work with 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 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 5 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 Proven track record of owning projects and outcomes from research and prototyping through to production deployment. 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 Compensation & Benefits Summary Competitive salary, stock options, flexible vacation Medical, dental and 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 For candidates in California, Colorado, New York City, Illinois, Minnesota, New Jersey, Vermont, and Massachusetts, the Targeted Base Salary Range for this role is $160,000 - $195,000. Actual salaries will vary depending on factors including but not limited to work experience, specialized skills and training, performance in role, business needs, and job requirements. Base salary is subject to change and may be modified in the future. Base salary is just one component of InMarket’s total rewards package that also may include bonus, equity, and benefits. Ask your recruiter for more information! At InMarket we are committed to a culture that supports diversity, inclusion, belonging and equal opportunity. We celebrate all people and believe everyone deserves respect regardless of race, gender, sexual orientation, backgrounds, experiences, abilities or beliefs. InMarket is an Equal Opportunity Employer (EOE). Qualified applicants are considered for employment without regard to age, race, color, religion, sex, national origin, sexual orientation, disability, or veteran status. Privacy Notice for California Job Applicants: inmarket.com #LI-Remote

Requirements

Must-haves

Job Title: Senior Data Scientist - Measurement
Location: Remote - US Only
Your daily Impact as Senior Data Scientist
Work with 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
Solid understanding of modern data science, AI and machine learning
At least 5 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
Proven track record of owning projects and outcomes from research and prototyping through to production deployment.

Nice-to-haves

Bachelors in Statistics, Computer Science, Economics, Operations Research, or similar quantitative field (graduate degree preferred)
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
Compensation & Benefits Summary
Medical, dental and Flexible Spending Account (FSA)
Talented co-workers and management
Agile Development Program (For continued learning/professional development)
InMarket is an Equal Opportunity Employer (EOE). Qualified applicants are considered for employment without regard to age, race, color, religion, sex, national origin, sexual orientation, disability, or veteran status.

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Benefits

Benefits detected in the listing.

Dental

401(K)

Pto

Professional Development