Who We Are

Measured is the pioneer and leader of incrementality-based measurement and optimization for consumer brands. Leading brands use our elegant, all-in-one platform to manage, test, plan, and optimize over $15 billion in full-funnel media investments. Since 2017, we have helped marketers prove the incremental impact of their advertising and maximize ROI with unmatched ease, precision, and efficiency. Measured is the only company that empowers brands with comprehensive incrementality intelligence through adaptive methodology, end-to-end automation, and industry-leading expertise. Measured is led by marketing measurement entrepreneur Trevor Testwuide, and boasts a veteran team of cross-channel marketing analytics experts.

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Measured values curiosity, integrity, aiming for the extraordinary,  customer obsession, and employee belonging. 

Measured promotes diversity and inclusivity in all forms, which helps to shape our company culture and industry leading products.  Measured is committed to providing equal employment opportunities (EEO) to all employees and applicants, regardless of race, color, hairstyle, religion, sex, national origin, age, disability, genetics, or any other protected characteristics.

About the Job

As a Senior Data Scientist at Measured, you will play a key role in advancing our Marketing Mix Modeling (MMM) solutions and other data science-driven capabilities. You will work on developing new features and enhancements for our mature MMM-based platform, integrating advanced modeling techniques, automation, and causal inference methodologies to provide precise and actionable insights to our clients. Your work will include deep R&D, testing, implementation, deployment, monitoring, and internal science support for the MMM results.

This role requires a hands-on data scientist who is customer-focused, analytically strong, and adept at problem-solving in complex data environments. You will work cross-functionally with Product, Engineering, and Customer Success teams to drive innovation in marketing measurement.

• Develop and refine advanced MMM models, incorporating media variables, pricing indices, promotional schedules, holidays, macroeconomic factors, and causal inference signals.
• Implement Bayesian inference, hierarchical models, and experimental design techniques to enhance MMM accuracy and insights.
• Automate and optimize model training, deployment, and monitoring to support large-scale, high-frequency modeling across clients.
• Collaborate with Product and Engineering teams to integrate advanced data science solutions into the Measured platform.
• Interpret complex data science outputs and translate them into actionable recommendations for marketers.
• Conduct R&D on emerging measurement methodologies and apply cutting-edge statistical and machine learning techniques.
• Support internal teams by providing expertise on MMM results, ensuring high confidence in model outputs and business recommendations.
• Our system automatically builds 100s of MMMs per day for all our clients and these MMMs are used to make large and impactful media purchasing decisions.
• You will be creating novel contributions to marketing mix science!
• Whatever else it takes to get the job done! 

The Value You’ll Bring 

• Demonstrated statistical modeling skills
• 5+ years of experience in data science, with a focus on marketing analytics, econometrics, or causal inference with 2+ years of direct experience in building MMMs or marketing attribution.
• B.S. or higher in Mathematics, Computer Science, Statistics, Data Science, or a related quantitative field.
• Strong expertise in Marketing Mix Modeling (MMM), marketing attribution, or media measurement.
• Proficiency in Python, SQL, and statistical modeling techniques such as Bayesian inference, time-series forecasting, and causal inference.
• Experience working with large-scale data, experimentation, and probabilistic modeling.
• Strong problem-solving skills, with an ability to work independently in a fast-moving environment.
• Excellent communication skills, with the ability to translate mathematical concepts into business insights for technical and non-technical audiences.
• Ability to integrate and debug complex code, ensuring models operate reliably at scale.
• Ability to communicate complex mathematical concepts to any audience.
• Ability to integrate and debug complex code.
• Independent decision maker. Can take calculated risks and deal with ambiguity.
• Takes initiative to improve and try new things.
• Ability to work independently with minimal supervision within a strong team environment.
• Comfortable with rapid change.
• Values diversity and integrity.

• 100% Remote
• Total Rewards - Compelling compensation packages that include flexible time off, regional paid holidays, and regional health and wellness plans where available.
• Social Engagement - virtual engagement, knowledge sharing, and more.
• Giving Back - Opportunities to volunteer and impact our communities through Measured for Good initiatives.
• Culture - Integrity, diversity, and award winning technology.