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Remote Marketing Mix Modeling Jobs in Delaware (NOW HIRING)

Forbes Advisor

AI Creative Lead (Remote)

Wilmington, DE · On-site +1

... Marketing, Production, Technology and Sales. The team brings rich industry knowledge to Forbes ... You protect the craft bar rather than lowering it to what the model makes easy, and you stay ...

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Remote Marketing Mix Modeling information

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 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.

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 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.

What are popular job titles related to Remote Marketing Mix Modeling jobs in Delaware?

For Remote Marketing Mix Modeling jobs in Delaware, the most frequently searched job titles are:

What job categories do people searching Remote Marketing Mix Modeling jobs in Delaware look for?

The top searched job categories for Remote Marketing Mix Modeling jobs in Delaware are:

What cities in Delaware are hiring for Remote Marketing Mix Modeling jobs?

Cities in Delaware with the most Remote Marketing Mix Modeling job openings:

Remote Marketing Mix Modeling jobs near you
Infographic showing various Remote Marketing Mix Modeling job openings in Delaware as of August 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 100% Remote job distribution.

Senior Director of Data Science (Remote)

Forbes Advisor

Wilmington, DE • On-site, Remote

Full-time

Re-posted 1 hour ago

Job description

At Forbes Advisor, our mission is to help readers turn their aspirations into reality. We arm people with trusted advice and guidance so they can make informed decisions they feel confident in and get back to doing the things they care about most.
We are an experienced team of industry experts dedicated to helping readers make smart decisions and choose the right products with ease. Forbes Advisor boasts decades of experience across dozens of geographies and teams, including Content, SEO, Business Intelligence, Finance, HR, Marketing, Production, Technology and Sales. The team brings rich industry knowledge to Forbes Advisor's global coverage of consumer credit, debt, health, home improvement, banking, investing, credit cards, small business, education, insurance, loans, real estate and travel.
Our Data & Analytics organisation builds the products, platforms and intelligence that power every marketing, product and commercial decision across the business. We're looking for a Data Science leader who believes machine learning only creates value when it changes business decisions.
This is an opportunity to build and lead a commercially driven Data Science function that delivers measurable improvements in customer acquisition, marketing performance and long-term business growth.
You'll lead a growing team of Data Scientists while partnering closely with Engineering, Analytics, Product and Commercial teams to ensure predictive models become trusted, production-ready products that drive measurable commercial outcomes. As we continue investing in first-party data, AI, machine learning and advanced marketing measurement, we're looking for an experienced Data Science leader to help shape the next phase of our commercial Data Science capability.
Responsibilties:
  • Commercial Data Science: Lead the strategy and delivery of predictive models that improve customer acquisition, marketing performance and long-term commercial value. You'll shape capabilities including lifetime value modelling, propensity modelling, customer segmentation, forecasting and value-based bidding, ensuring every model is linked to measurable business outcomes.
  • Marketing Science & Decision Science: Partner with Marketing, Product and Commercial teams to apply Data Science to real business problems. You'll help define how predictive analytics, experimentation and AI improve campaign performance, customer understanding and strategic decision making across platforms including Google and Meta.
  • Production Data Science: Work closely with Engineering and ML Ops to ensure models become reliable, production-ready products rather than one-off analyses. You'll champion reproducible experimentation, scalable deployment, model monitoring, retraining strategies and continuous improvement throughout the model lifecycle.
  • Leadership & Stakeholder Management: Lead and develop a growing team of Data Scientists while building trusted relationships across the business. You'll translate complex modelling into clear commercial recommendations, influence senior stakeholders through evidence, and help establish Data Science as a trusted driver of business strategy and commercial growth.
  • Innovation & Industry Leadership: Represent Forbes in strategic conversations with technology partners including Google and Meta while staying connected to advances in AI, machine learning and marketing science. You'll evaluate emerging technologies, bring new ideas into the organisation and help ensure our Data Science capability remains commercially relevant and technically leading.

Qualifications:
  • Experience leading commercial Data Science, Marketing Science or Decision Science teams.
  • Strong expertise in predictive analytics, customer analytics, machine learning and statistical modelling.
  • Experience applying Data Science to marketing performance, customer acquisition, lifetime value or value-based bidding.
  • Experience productionising machine learning solutions within modern cloud environments and working closely with Engineering and ML Ops teams.
  • Strong understanding of SQL, Python and modern machine learning frameworks.
  • Experience working with Google Ads, Meta or other major advertising platforms.
  • Excellent stakeholder management and communication skills, with the ability to influence both technical and commercial audiences.
  • Experience building and developing high-performing Data Science teams.
  • Strong commercial judgement, balancing technical excellence with measurable business impact.
  • A pragmatic approach to AI, applying emerging technologies where they create genuine commercial value.

Nice to Have
  • Experience within affiliate marketing, digital publishing or lead-generation businesses.
  • Experience working in financial services, insurance or regulated industries.
  • Experience working directly with Google or Meta Data Science teams.
  • Experience with attribution modelling and marketing measurement.
  • Experience building optimisation algorithms for DSPs or advertising platforms.
  • Experience with causal inference, experimentation frameworks or incrementality testing.
  • Experience forecasting marketing or commercial performance.
  • Experience with Vertex AI or equivalent cloud-based machine learning platforms.

Forbes Advisor provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
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