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Remote Marketing Mix Modeling Jobs (NOW HIRING)

Remote About the Role: Greenfield is looking for a Commercial Analytics Senior Manager to join our ... Exposure to marketing mix modeling, predictive analytics, causal inference, or demand/pipeline ...

Remote About the Role: Greenfield is looking for a Commercial Analytics Senior Manager to join our ... Exposure to marketing mix modeling, predictive analytics, causal inference, or demand/pipeline ...

Implement marketing mix modeling (MMM), multi-touch attribution (MTA), incrementality testing, uplift modeling, and geo-based experimentation. * Ensure rigorous QA processes, documentation standards ...

Implement marketing mix modeling (MMM), multi-touch attribution (MTA), incrementality testing, uplift modeling, and geo-based experimentation. * Ensure rigorous QA processes, documentation standards ...

Implement marketing mix modeling (MMM), multi-touch attribution (MTA), incrementality testing, uplift modeling, and geo-based experimentation. * Ensure rigorous QA processes, documentation standards ...

Director of Data (Remote)

Austin, TX · On-site +1

$170K - $230K/yr

Develop MMM (Marketing Mix Modeling) in Python to inform budget allocation across nine figures of annual spend. * Partner with Finance on forecasting models for demand, inventory, and revenue ...

Principal Data Scientist

$169K - $270K/yr

This role has been categorized as a Remote position. "Remote" employees do not have a permanent ... marketing mix modeling. * Experience working in or closely with ads platforms, retail media ...

Monetization Science Strategist

CA · Remote

$124K - $160K/yr

... marketing mix modeling to optimize spend and targeting. * Translate complex analytical findings ... software. #LI-Remote #LI-NI1  About Bentley Systems Around the world, infrastructure ...

... with marketing mix modeling * Advanced Python/R skills plus expert SQL - you'll be building ... Employees approved for remote work must perform their duties from a single, company-approved based ...

Monetization Science Strategist

CA · Remote

$124K - $160K/yr

... marketing mix modeling to optimize spend and targeting. * Translate complex analytical findings ... Remote #LI-NI1 About Bentley Systems Around the world, infrastructure professionals rely on ...

Senior Marketing Analyst

$104K - $129K/yr

Build and maintain attribution and marketing mix models to quantify channel contribution and guide ... This remote opportunity based out of the U.S. Applicants must be authorized to work for any ...

Optimize cross-channel marketing mix and budget allocation to maximize ROI. * Continuously analyze ... Fully remote role within Europe (Ireland, DACH preferred), with occasional travel for collaboration ...

... Marketing Mix Modeling) in Python to inform budget allocation across nine figures of annual spend. • Partner with Finance on forecasting models for demand, inventory, and revenue planning.

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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 Jun 10, 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, and why are they important?

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:
Infographic showing various Remote Marketing Mix Modeling job openings in the United States as of June 2026, with employment types broken down into 75% Full Time, 20% Part Time, and 5% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $67,990 per year, or $32.7 per hour.

Marketing Data Scientist, Measurement & Modeling

Superior Fleet Solutions

Dallas, TX • Remote

Full-time

Posted 9 days ago


Job description

FleetPride is the largest after-market distributor of heavy-duty truck and trailer parts in the U.S. with some of the best and brightest people in the business! Partner with the best in the heavy-duty industry and apply today!

FleetPride is seeking a highly analytical, curious, andresults-drivenmarketingdata scientist tojoin ourmarketingteam. In this role, you will help shape marketing and commercial strategy through advanced analytics, machine learning, experimentation, and modern AI-enabled tools.A critical focus of this position is solving the "Online-to-Offline" puzzlebydeveloping sophisticated models to connect digital engagement with physical outcomes across our national network of retail branches and service centers.

You will work across a wide range of initiatives, including customer acquisition, retention, segmentation, promotion optimization, forecasting, and marketing effectiveness. The ideal candidate brings strong statistical and technical skills, a practical business mindset, and the ability to translate complex data into actionable recommendations. This role will also help advance FleetPride's use of modern data science capabilities, including cloud-based modeling, ML workflows, generative AI tools, and privacy-aware measurement.

This role focuses on measurement, experimentation, and analytical decisionpartnershiprather than day-to-day media buying or primary ownership of marketing-platform administration.

Responsibilities

  • Experimentation & Measurement: Lead test design and analysis, including A/B testing, market selection, incrementality testing,media mix modeling,holdout design, and final readouts to measure business impact.

  • Business Partnership: Collaborate closely with marketing, ecommerce, and other digital business stakeholders to solve problems, identify opportunities, and drive data-informed decisions.

  • Reporting and Analytics:Establish and maintain reporting and performance review KPIs such as ROAS, CPA, LTV,unit economicsand contribution metrics across both customer acquisition and retention.

  • Data & Platform Integration:Partner with IT teams to define data requirements, validate data quality, and enable reliable datasets from GA4/BigQueryand advertising platforms for analysis, measurement, and decision-making.

  • Predictive & Analytical Modeling:Develop and adapt predictive, statistical, and optimization modelsto support initiatives across customer acquisition, activation, engagement, retention, promotion planning, and channel performance.

  • AI & Advanced Analytics:Apply modern AI and machine learning techniques, including LLM and generative AI tools where appropriate, to improve analysis, workflow efficiency, insight generation, and decision support.

  • Data Science Execution:Execute end-to-end projects by scoping business objectives, designing analytical approaches, building models, validating results, and delivering measurable solutions.

  • Insight Communication:Communicate findings clearly through visualizations, presentations, and written summaries, translating complex analyses into practical business recommendations.

Qualifications& experience

  • 3+ years of relevant professional experience applying advanced analytics or data science to business problems with measurable impact.

  • Strong knowledge of statistical methods, hypothesis testing, regression analysis, causalinference, forecasting, and experimental design.

  • Demonstrated ability to independently scope, prioritize, and deliver analytical work with limited day-to-day technical oversight.

  • Hands-on experience working with large, complex datasets and building predictive models in cloud or distributed computing environments.

  • Proficiency in PythonandSQLfordata analysis, modeling, and workflow development.

  • Experience with cloud-hosted data platforms such as Google Cloud Platform, AWS, or similar environments.

  • Familiarity with marketing analytics, customer behavior analysis, campaign measurement, customer segmentation, and customer lifecycle concepts.

  • Comfort collaboratingwith ITon tracking and data pipelines, includingserver-sidetracking, conversion APIs, and Online-to-Offline measurement.

  • Experience translating ambiguous business questions into structured analytical plans and practical solutions.

  • Proven ability to quickly learn and leverage emerging marketing technologies, particularly AI-basedmeasurement andoptimizationmodels.

  • Strong communication skills, with the ability to work cross-functionally and explain technical concepts to business stakeholders.

  • Bachelor's degree in Data Science, Statistics, Computer Science, Engineering, Economics, Operations Research, or a related field; advanced degree preferred.

PREFERRED QUALIFICATIONS

  • Experience supporting ecommerce, retail, distribution, or other customer-focused commercial organizations.

  • Experience with marketing measurement, attribution, incrementality testing, media optimization, or promotion analytics.

  • Experience measuring marketing impact across both digital and offline outcomes, including branch visits, phone calls, and offline revenue.

  • Experience building reusable analytical workflows and collaborating IT to operationalize high-value outputs.

  • Familiarity with web tracking, digital analytics, and modern measurement frameworks such as GA4, conversion APIs, or privacy-aware analytics environments.

  • Experience with AI toolsand/or machine learning systems in real-world business settings.

  • Knowledge of data visualization and BI platforms such as Power BI, Looker, or similar tools.

About FleetPride

FleetPride is the nation's largest distributor of truck and trailer parts and service in the independentheavy dutyaftermarket. Our network includes retail, service, distribution, and wholesale divisions,all working together to deliver unmatched value to our customers.

FleetPride is the leader in the industry comprised of retail, service, distribution and wholesale divisions.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.