Description

Job Title: Data Scientist

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.

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