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Marketing Mix Modeling Jobs in Renton, WA (NOW HIRING)

Anthropic

Data Scientist, Marketing

Seattle, WA · On-site

We are bringing marketing mix modeling in-house, and you will build and operate the econometrics toolkit - marketing mix modeling (MMM), geo experiments, synthetic controls, and incrementality ...

Jobtailor

Manager, Marketing Channel Analytics

Seattle, WA · On-site

$140 - $210/hr

... Marketing Mix Modeling, including model refits and validations • Incorporate incrementality tests, geo-experiments, and attribution data to improve model performance • Diagnose and resolve ...

New

Ra

Marketing Analytics Manager

Seattle, WA

You will be doing project-based analytics which includes Marketing Mix Modeling, Multi-Channel Attribution, Digital Analytics, Pricing and Promotion and Demand Forecasting. You will be leading a team ...

Okta

Director, Marketing Analytics

Bellevue, WA · On-site

$240K - $330K/yr

AI/ML experience: predictive modeling, propensity scoring, marketing mix modeling * Google Analytics (GA4) or Adobe Analytics expertise * SQL proficiency * Growth marketing or demand gen background

Socket.dev

Director, Marketing Analytics

Bellevue, WA · On-site

$240 - $330/hr

AI/ML experience: predictive modeling, propensity scoring, marketing mix modeling * Google Analytics (GA4) or Adobe Analytics expertise * SQL proficiency * Growth marketing or demand gen background

Triwill Group

Director, Marketing Analytics

Bellevue, WA · On-site

$214 - $295/hr

AI/ML experience: predictive modeling, propensity scoring, marketing mix modeling * Google Analytics (GA4) or Adobe Analytics expertise * SQL proficiency * Growth marketing or demand gen background

Okta

Sr. Manager, Marketing Analytics

Bellevue, WA · On-site

$170K - $233K/yr

AI/ML experience: predictive modeling, propensity scoring, marketing mix modeling * Google Analytics (GA4) or Adobe Analytics expertise * SQL proficiency * Growth marketing or demand gen background

Amazon

Director, Global Partner Marketing

Seattle, WA · On-site

... marketing mix, a solid understanding of lead management processes, and experience working cross ... models, and joint go-to-market motions • Strong technical background with ability to translate ...

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How much do marketing mix modeling jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for marketing mix modeling in Renton, WA is $36.77, according to ZipRecruiter salary data. Most workers in this role earn between $24.33 and $48.65 per hour, depending on experience, location, and employer.

What is marketing mix modeling?

A Marketing Mix Modeling (MMM) job involves analyzing the impact of various marketing channels (such as TV, digital, radio, and print) on sales and business performance. Professionals in this role use statistical models and data analytics to measure the effectiveness of marketing campaigns, optimize budget allocation, and forecast future outcomes. They work with large datasets, apply econometric techniques, and collaborate with stakeholders to improve marketing strategies. Strong skills in data analysis, statistical modeling, and business acumen are essential for success in this role.

What does someone in marketing mix modeling do?

Professionals in Marketing Mix Modeling spend their days gathering and cleaning large sets of marketing and sales data, applying statistical models to understand the impact of various marketing channels, and developing insights to optimize marketing spend. They routinely collaborate with cross-functional teams such as marketing, finance, and data science to align strategies and present actionable recommendations. Regular tasks include data visualization, preparing reports for stakeholders, and responding to ad hoc analysis requests. The role is both analytical and consultative, requiring frequent communication with both technical and non-technical team members.

What are the key skills and qualifications needed to thrive in marketing mix modeling?

To thrive in Marketing Mix Modeling, you need a strong background in statistics, data analysis, and marketing principles, typically supported by a degree in economics, statistics, mathematics, or a related field. Familiarity with statistical software such as R, Python, SAS, or specialized marketing analytics tools, along with experience in handling large datasets, is highly valued. Exceptional problem-solving abilities, attention to detail, and effective communication skills are key soft skills for this position. These competencies are crucial for translating complex data into actionable business strategies that drive marketing ROI.

What job categories do people searching Marketing Mix Modeling jobs in Renton, WA look for?

The top searched job categories for Marketing Mix Modeling jobs in Renton, WA are:

What cities near Renton, WA are hiring for Marketing Mix Modeling jobs?

Cities near Renton, WA with the most Marketing Mix Modeling job openings:

Marketing Mix Modeling jobs near you
Infographic showing various Marketing Mix Modeling job openings in Renton, WA as of August 2026, with employment types broken down into 1% Internship, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $76,477 per year, or $36.8 per hour.

Data Scientist, Marketing

Anthropic

Seattle, WA • On-site

Full-time

Re-posted 24 days ago

Job description

About the role

As part of our growing Data Science and Analytics team, you will own the measurement strategy behind Anthropic's marketing investment. This is a foundational role, building marketing measurement at Anthropic from the ground up.

Your first focus is paid media. We are bringing marketing mix modeling in-house, and you will build and operate the econometrics toolkit - marketing mix modeling (MMM), geo experiments, synthetic controls, and incrementality testing - that tells us which marketing investments actually drive growth, working in close partnership with our paid marketing data scientist. From there, you'll extend the same causal rigor to lifecycle and other marketing programs: defining success metrics oriented on activation and sustained usage, and building self-serve measurement that scales beyond any one embedded analyst.

Key responsibilities
  • Own incrementality measurement for paid media: build and operate our in-house marketing mix model, and design the geo experiments, synthetic-control studies, and holdouts that validate and calibrate it
  • Translate measurement results into budget and channel recommendations that shape how marketing invests
  • Establish primary success metrics and guardrails for lifecycle marketing, anchored on activation and active usage rather than reach
  • Develop hypotheses on marketing interventions, design experiments or causal inference studies, analyze results, and make recommendations based on impact to key metrics
  • Make marketing measurement self-serve by establishing the metrics, tooling, and best practices that let marketing partners answer routine questions without a data scientist in the loop
  • Present complex technical analyses and recommendations to both technical and non-technical audiences
Minimum qualifications
  • Hands-on experience with marketing incrementality methods, including marketing mix modeling, geo experiments, synthetic controls, and A/B or holdout testing at scale
  • Proficiency with causal inference and machine learning methods, and judgment about when each is appropriate
  • Proficiency with Python and SQL
  • Experience applying data science within a Marketing or Growth context
  • Ability to communicate complex analyses as clear recommendations for non-technical audiences
Preferred qualifications
  • 7+ years of experience in data science, with significant time embedded in Marketing or Growth teams
  • Experience building measurement frameworks from the ground up, moving teams from descriptive reporting toward causal understanding
  • A track record of translating complex analyses into recommendations that senior marketing stakeholders act on
  • Experience bringing marketing mix modeling in-house, or operating one end-to-end rather than through a vendor
  • Experience defining activation metrics and lifecycle measurement for a product-led business
  • Background at consumption-based, multi-product companies serving both consumers and enterprises
  • Comfort setting direction and making decisions when requirements are still taking shape
  • An interest in Anthropic's mission of building safe and beneficial AI

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