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Remote Marketing Mix Modeling Jobs (NOW HIRING)

Measured

Director, Marketing Science

Austin, TX · On-site +1

Measured's unique combination of automated experimentation, media mix modeling, and industry ... Benefits * 100% Remote * Competitive Total Rewards and flexible paid time off * Opportunities to ...

Measured

Director, Marketing Science

Austin, TX · Remote

Measured's unique combination of automated experimentation, media mix modeling, and industry ... Benefits * 100% Remote * Competitive Total Rewards and flexible paid time off * Opportunities to ...

Harvey

Data Scientist, Marketing

... mix modeling, incrementality) for comprehensive Marketing Channel and Campaign performance and contribution. • Apply statistical and machine learning techniques to model user behavior, forecast ...

Upstart

Principal Data Analyst, Growth Marketing

OR · On-site +1

$86K - $107K/yr

... as marketing mix modeling (MMMs), mobile marketing measurement, and geo-based incrementality ... Remote Travel requirements - As a digital first company, the majority of your work can be ...

SC Johnson & Son

Manager, Omni Marketing

Racine, WI · On-site +1

Optimize channel mix using performance data and Marketing Mix Modeling (MMA). In-Store & Online ... Remote work available once a week for eligible employees after initial 90-day onboarding period

Audiohook

Data Scientist

Eden, UT · On-site +1

You\'ll design and run incrementality tests, build and maintain marketing mix models, and apply ... Communicate clearly and proactively in a remote-first environment Qualifications Required

LegalZoom

VP, Growth Marketing

Mountain View, CA · On-site +1

LegalZoom supports a remote-friendly environment that gives employees flexibility and balance. Our ... marketing mix modeling, and advanced attribution frameworks ● Improve creative velocity and ...

LegalZoom

VP, Growth Marketing

Los Angeles, CA · On-site +1

LegalZoom supports a remote-friendly environment that gives employees flexibility and balance. Our ... marketing mix modeling, and advanced attribution frameworks ● Improve creative velocity and ...

LegalZoom

VP, Growth Marketing

Los Angeles, CA · On-site +1

LegalZoom supports a remote-friendly environment that gives employees flexibility and balance. Our ... marketing mix modeling, and advanced attribution frameworks ● Improve creative velocity and ...

LegalZoom

VP, Growth Marketing

Los Angeles, CA · On-site +1

LegalZoom supports a remote-friendly environment that gives employees flexibility and balance. Our ... mix modeling, and advanced attribution frameworks Improve creative velocity and testing through AI ...

LegalZoom

VP, Growth Marketing

Mountain View, CA · On-site +1

LegalZoom supports a remote-friendly environment that gives employees flexibility and balance. Our ... marketing mix modeling, and advanced attribution frameworks ● Improve creative velocity and ...

ExtendMyTeam

Director, Insights

Miami, FL · Remote

Develop measurement frameworks to evaluate innovation performance, marketing effectiveness, and media effectiveness, including Marketing Mix Modeling (MMM), attribution, incrementality testing, and ...

Vail Resorts

$150K - $185K/yr

Lead the application of advanced analytical methodologies--including Marketing Mix Modeling, incrementality measurement, attribution, forecasting, and predictive analytics--to improve marketing ...

Vail Resorts

$150K - $185K/yr

Lead the application of advanced analytical methodologies--including Marketing Mix Modeling, incrementality measurement, attribution, forecasting, and predictive analytics--to improve marketing ...

Vail Resorts Corporate

$150K - $185K/yr

Lead the application of advanced analytical methodologies--including Marketing Mix Modeling, incrementality measurement, attribution, forecasting, and predictive analytics--to improve marketing ...

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Remote Marketing Mix Modeling information

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How much do remote marketing mix modeling jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for remote marketing mix modeling in the United States is $32.69, according to ZipRecruiter salary data. Most workers in this role earn between $21.63 and $43.27 per hour, depending on experience, location, and employer.

How does a remote marketing mix modeling professional typically collaborate with cross-functional teams to deliver actionable insights?

Remote Marketing Mix Modeling professionals often work closely with marketing, data analytics, and finance teams to gather relevant data, align on business objectives, and translate complex statistical findings into practical recommendations. Collaboration is usually facilitated through regular virtual meetings, shared digital workspaces, and clear documentation to ensure transparency and alignment. Strong communication skills are essential for effectively presenting insights to both technical and non-technical stakeholders, ensuring that modeling results drive informed marketing strategies and budget decisions.

What are the key skills and qualifications needed to thrive as a remote marketing mix modeling professional?

To thrive as a Remote Marketing Mix Modeling professional, you need strong analytical skills, a background in statistics or econometrics, and proficiency in data-driven marketing, often supported by a relevant degree. Expertise in tools such as Python, R, SQL, and experience with marketing analytics platforms or statistical modeling software is typically required. Excellent problem-solving, communication, and time management skills help you interpret data and convey actionable insights to stakeholders remotely. These skills are crucial for accurately measuring marketing effectiveness and driving data-informed business decisions from a remote setting.

What is remote marketing mix modeling?

Remote Marketing Mix Modeling (MMM) is a data-driven approach where marketing analysts or data scientists evaluate the effectiveness of various marketing channels and tactics from a remote location. By analyzing sales and marketing data, MMM helps organizations understand which marketing activities contribute most to sales or other key performance indicators. This allows businesses to optimize their marketing budgets and strategies for better ROI, all while enabling professionals to work from anywhere. Remote MMM leverages advanced statistical techniques and software tools, making collaboration and analysis possible without the need for in-person meetings.

What is the difference between Remote Marketing Mix Modeling vs Remote Data Analyst?

AspectRemote Marketing Mix ModelingRemote Data Analyst
Required CredentialsDegree in Marketing, Statistics, or Economics; experience with modeling toolsDegree in Data Science, Statistics, or related field; proficiency in data analysis software
Work EnvironmentFocus on marketing data, campaign performance, and ROI analysisBroader data analysis across various business functions
Employer & Industry UsageMarketing agencies, consumer brands, retailFinance, healthcare, technology, retail
Search & Comparison IntentUnderstanding modeling techniques specific to marketingAnalyzing data sets for insights across departments

Remote Marketing Mix Modeling specialists focus on analyzing marketing data to optimize campaigns and measure ROI, often requiring expertise in marketing analytics and statistical modeling. Remote Data Analysts handle a broader range of data analysis tasks across various business functions, emphasizing data interpretation and reporting. While both roles involve data skills, their focus areas and industry applications differ significantly.

More about Remote Marketing Mix Modeling jobs
What cities are hiring for Remote Marketing Mix Modeling jobs? Cities with the most Remote Marketing Mix Modeling job openings:
What are the most commonly searched types of Marketing Mix Modeling jobs? The most popular types of Marketing Mix Modeling jobs are:
What states have the most Remote Marketing Mix Modeling jobs? States with the most job openings for Remote Marketing Mix Modeling jobs include:
What job categories do people searching Remote Marketing Mix Modeling jobs look for? The top searched job categories for Remote Marketing Mix Modeling jobs are:
Remote Marketing Mix Modeling jobs near you
Infographic showing various Remote Marketing Mix Modeling job openings in the United States as of August 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 100% Remote job distribution, with an average salary of $67,990 per year, or $32.7 per hour.

Director, Marketing Science

Measured

Austin, TX • On-site, Remote

Full-time

PTO

Posted 29 days ago

Job description

About Measured
Measured is the pioneer and leader of incrementality-based media measurement and optimization. Since 2017, leading brands have used our AI-powered, all-in-one platform to manage, test, plan, and optimize over $35 billion in full-funnel media investments. Measured's unique combination of automated experimentation, media mix modeling, and industry-leading expertise helps marketers prove the incremental impact of their advertising and maximize ROI with unmatched ease, accuracy, and efficiency.
The Role
Measured is seeking a Director of Marketing Science: an expert in marketing measurement and incrementality who builds the systems and provides the expertise that let a small team, amplified by AI, deliver measurement quality at scale across our entire client base. This is a hands-on, non-dedicated role. You will not be assigned a book of accounts. Instead, you will build the automation and set the standards that lift every model, and step in on the hardest measurement problems as the senior expert.
You bring holistic command of the Marketing Science range: geo-based incrementality experimentation, agile mix modeling for marketing and business analytics, and cross-channel planning and optimization. This role places particular emphasis on enterprise planning and optimization, helping brands turn incrementality into cross-channel budget decisions, while drawing on the full measurement toolkit to do it well.
Marketing Science sits between Data Science and Customer Success. We manage the modeling systems Data Science builds, explain how results are produced and what they mean, and build the tooling that lets us do both at scale. A central objective of this role is to apply AI to solve complex measurement and planning questions systematically, so that solutions compound into repeatable capability rather than one-off answers.
The role operates in three modes: build the AI-driven automation that handles the first pass at scale; own and continuously shrink the model-management and planning queue; and support client teams by exception, routed through Customer Success, as the senior measurement voice, escalating only genuinely novel work to Data Science.
At Measured, we equip every team member with best-in-class technology to fuel extraordinary outcomes. We expect our team to continuously evolve alongside these tools, using AI as a partner for momentum and innovation - raising the bar on everything we build. Our people own the final voice, judgment, and accountability behind every deliverable.
Requirements
Key Responsibilities
Build AI-Powered Automation and Agentic Workflows
  • Build scalable, AI-driven solutions across the Marketing Science range: geo-based incrementality experimentation, agile mix modeling, cross-channel planning and optimization, and model-health monitoring.
  • Design and ship agentic workflows for first-pass diagnosis, plan generation, model management, and insight generation, built in partnership with Data Science and Product rather than in isolation.
  • Replace manual, labor-intensive processes with automation that holds up under scale, and codify recurring solutions into repeatable, reusable capability rather than one-off answers.
  • Prototype and build with modern AI tooling (LLMs, Claude Cowork, Claude Code, and similar).

Apply the Full Measurement Toolkit, with a Focus on Enterprise Planning and Optimization
  • Bring depth across geo-based incrementality testing and agile mix modeling, applying the right method to answer the marketing and business-analytics questions clients actually face.
  • Focus in particular on enterprise planning and optimization: translate incrementality-based response curves, saturation, and marginal returns into cross-channel budget plans clients can act on.
  • Build and scale the automation behind planning workflows, including scenario simulation, constraint setting, and tie-out to committed budgets, so enterprise-grade planning becomes repeatable rather than bespoke.
  • Serve as the senior resource on complex optimization questions, from constrained scenarios and flighting to reconciling planned versus in-flight performance.

Own the Scaled Model-Management Function
  • Run the standing scaled desk for calibration, drift, and configuration exceptions across the full portfolio, prioritized worst-first by model health rather than by account.
  • Triage the incrementality, mix-modeling, and planning queues, automate the recurring first pass, and equip Customer Success with the playbooks and permission to handle the routine.
  • Define the onboarding and setup-QA standard that stops issues at the source, so the team spends less time fixing models that were never set up correctly.
Analytical Resource and Expert Voice of Measurement
  • Serve as the go-to analytical resource for client-facing teams on complex measurement and planning questions that go beyond the standard workflow.
  • Explain experiment, model, and plan results, and the business implications behind them, in clear terms; isolate media drivers and provide the "why behind the what," including across emerging platforms like Google Performance Max (PMax) and Meta ASC.
  • Join high-stakes client calls, QBRs, and renewal discussions by exception, as the senior measurement expert, without being embedded in any single account.

Model Management, Interpretation, and the Data Science Bridge
  • Act as the bridge between Data Science and Customer Success: explain how results were produced and what they mean.
  • Manage and maintain the modeling systems Data Science has built, and support Customer Success in turning incrementality, mix-modeling, and planning results into recommendations.
  • Develop the logic and rules that inform customer-facing tools, and pioneer solutions that eventually shape product innovation at Measured.

Cross-Functional Partnership
  • Work closely with Customer Success, Data Science, Product, and Engineering to improve the Measured experience today and build a better Measured for the future.
  • Identify the difficult, commonly recurring measurement and planning questions, pioneer solutions, and scale them into a repeatable offering.

Ideal Experience
  • Deep, hands-on knowledge across geo-based incrementality experimentation and mix modeling (MMM), applied to marketing and business analytics.
  • 6+ years in marketing measurement, data analytics, media science, or a related technical field.
  • Deep, hands-on knowledge across geo-based incrementality experimentation and mix modeling (MMM), applied to marketing and business analytics.
  • Strong experience with cross-channel media planning and budget optimization, including response curves, saturation and diminishing returns, marginal ROAS, scenario planning, and real-world planning constraints.
  • Strong background in statistical techniques (e.g., causal inference, regression modeling, A/B testing).
  • Hands-on experience building with AI tooling (LLMs, agentic frameworks, AI coding and workflow tools) to automate analytical work.
  • A builder's instinct: motivated by creating leverage and systems that scale, rather than owning a book of accounts.
  • Experience with digital media platforms (e.g., Google Ads, Meta, TikTok) and performance metrics.
  • Ability to tell a compelling story from data, especially to non-technical audiences.
  • Strong written and verbal communication and executive presence.
  • Bachelor's or Master's in a quantitative field (e.g., Statistics, Computer Science, Marketing Analytics).
  • Confident decision-maker able to take calculated risks and navigate ambiguity.
  • Able to operate autonomously while contributing within a collaborative team.
  • Comfortable with rapid change.
  • Leads with integrity and embraces diversity in all forms.

Preferred
  • Proficiency in Python and SQL is a plus, though not required.
  • Hands-on knowledge of building and running media campaigns.
  • Prior experience in a startup or fast-paced environment.

Benefits
  • 100% Remote
  • Competitive Total Rewards and flexible paid time off
  • Opportunities to give back through Measured for Good
  • Engaged, diverse, and curious culture
  • Award-winning technology powered by an agile, collaborative team

Apply