Senior Marketing Data Scientist

Senior Marketing Data Scientist – Media Measurement & Analytics

Location: Remote, Argentina

Schedule: Full-Time | Monday–Friday | 9:00 AM–6:00 PM U.S. Eastern Time

Employment: Long-Term, Full-Time

Our Client:

Our client is a performance marketing agency specializing in linear TV, Connected TV (CTV), and online video. They help brands understand what's driving their growth, measure the real impact of their advertising, and make smarter marketing investments.

The team has worked with brands including Bombas, Dollar Shave Club, Lyft, and Ruggable. They're passionate about combining data, technology, and creative thinking to deliver meaningful results.

They are looking for an experienced Senior Marketing Data Scientist who loves solving problems, uncovering insights, and turning complex data into decisions that make a difference.

About the Role:

This is an exciting opportunity to work closely with our marketing sciences leadership and help shape how we measure and improve advertising performance.

You'll combine your expertise in Marketing Mix Modeling (MMM), statistical analysis, and media measurement with modern AI-powered tools to evaluate results, improve measurement approaches, and turn data into actionable business insights.

We're looking for someone who enjoys both the technical and strategic sides of data science. Someone who can look at a model, understand what it's telling us, question the results when needed, and confidently recommend next steps.

You'll have the opportunity to contribute your ideas, collaborate with talented colleagues, and grow alongside a team that's embracing new ways of working.

What You'll Be Doing:

• Evaluate and validate Marketing Mix Models (MMM), attribution models, and other marketing measurement solutions.
• Apply Bayesian modeling, statistical analysis, and causal inference techniques to understand advertising effectiveness.
• Support geo-based experiments, incrementality testing, and other approaches to measuring marketing impact.
• Analyze model outputs, identify trends, and translate findings into clear, actionable recommendations.
• Use SQL, Python, or R to investigate data, troubleshoot issues, and support specialized analytical work.
• Collaborate with data engineering and client success teams to improve data quality, measurement processes, and reporting.
• Work with AI-powered and agentic tools to streamline model development, validation, and ongoing analysis.
• Help internal teams understand measurement results and participate in client discussions when technical expertise is needed.
• Take ownership of assigned projects, proactively identify challenges, and recommend improvements to existing processes.

What We're Looking For:

• Approximately 6–8 years of experience in marketing science, marketing analytics, or data science, with significant hands-on marketing measurement experience.
• Strong experience with Marketing Mix Modeling (MMM), including evaluating and interpreting model outputs.
• Practical knowledge of Bayesian statistical modeling, particularly hierarchical models.
• Experience with geo-based experimentation, incrementality testing, or other causal inference methods.
• Proficiency in SQL and Python or R.
• Solid understanding of digital advertising and media measurement, including paid search, paid social, and how different media channels contribute to business performance.
• Experience translating complex analytical findings into meaningful business recommendations.
• Strong English communication skills and experience collaborating with clients or business stakeholders.
• Excellent critical thinking, problem-solving skills, and the confidence to challenge assumptions and suggest better approaches.
• Ability to manage your own workload, take initiative, and work independently within a collaborative team.
• Bachelor's degree in a relevant field.

Experience That Would Be a Plus:

• Experience with TV, CTV, or response modeling.
• Knowledge of advertising technology and marketing data infrastructure.
• Experience using AI-powered tools to automate or enhance analytical workflows.
• Master's degree in Statistics, Data Science, Mathematics, or a related field, not required.

Why You'll Love This Opportunity:

Your ideas and expertise will matter.

You'll work directly with experienced marketing sciences leadership, contribute to important client decisions, and help develop a modern, AI-enabled approach to marketing measurement.

We're looking for someone who's curious, collaborative, and excited to keep learning. If you enjoy finding better ways to solve problems and want a role where you can make a real impact, we'd love to meet you!

We look forward to learning more about you!