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Forbes Advisor Jobs in Delaware (NOW HIRING)

Bankers Life

Entry Level Financial Advisor

Newark, DE · On-site

Backed by CNO Financial Group and recognized by Forbes, Newsweek, and Training magazine, we're a company that invests in your success. Ready to make a difference? Join our Financial Advisor ...

PLACE

Real Estate Sellers Agent

Wilmington, DE · On-site

$61K - $120K/yr

Stay informed about current market trends and advise sellers on effective strategies. * Lead ... Top Workplace for Women (Forbes) * Ranked by Indeed as the Top Workplace for Veterans * Part of ...

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Forbes Advisor information

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$12

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$45

How much do forbes advisor jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for forbes advisor in Delaware is $25.96, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $29.86 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Forbes Advisor?

To thrive as a Forbes Advisor, you need strong expertise in financial analysis, journalism, and content creation, often supported by a degree in finance, economics, or communications. Familiarity with content management systems, financial data platforms, and SEO tools is typically required. Excellent research, communication, and critical thinking skills help create authoritative and accessible financial guidance. These abilities ensure the delivery of accurate, trustworthy advice that meets the needs of a broad audience and upholds Forbes' reputation.

What are some common challenges faced by a Forbes Advisor and how can they be navigated effectively?

Forbes Advisors often face the challenge of staying up-to-date with rapidly changing financial markets and regulations, which requires continuous learning and adaptability. Another common challenge is distilling complex financial information into clear, actionable advice for a diverse audience. Successful Advisors develop strong research and communication skills, collaborate closely with editorial, legal, and data teams, and leverage digital tools to enhance their analyses. Building a network within the organization also helps in staying informed and sharing best practices.

What is the difference between Forbes Advisor vs Financial Advisor?

AspectForbes AdvisorFinancial Advisor
CredentialsTypically no specific credentials required for content creation or adviceOften requires certifications like CFP, CFA, or ChFC
Work EnvironmentOnline platform, media, or consultingFinancial firms, banks, or independent practice
Industry UsagePublished financial advice, reviews, and guidancePersonalized financial planning and investment management
Search IntentComparing financial advice sources, learning about financeSeeking personalized financial planning or investment advice

While Forbes Advisor provides general financial advice, reviews, and guidance often created by finance experts, a Financial Advisor offers personalized financial planning and investment management services, often requiring professional certifications. Both serve different purposes but are key resources in the finance industry.

What are popular job titles related to Forbes Advisor jobs in Delaware?

For Forbes Advisor jobs in Delaware, the most frequently searched job titles are:

What job categories do people searching Forbes Advisor jobs in Delaware look for?

The top searched job categories for Forbes Advisor jobs in Delaware are:

What cities in Delaware are hiring for Forbes Advisor jobs?

Cities in Delaware with the most Forbes Advisor job openings:

Forbes Advisor jobs near you
Infographic showing various Forbes Advisor job openings in Delaware as of August 2026, with employment types broken down into 90% Full Time, 8% Part Time, and 2% Contract. Highlights an 73% Physical, 3% Hybrid, and 24% Remote job distribution, with an average salary of $53,988 per year, or $26 per hour.

Senior Director of Data Science (Remote)

Forbes Advisor

Wilmington, DE • On-site, Remote

Full-time

Re-posted 2 days 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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