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Head Of Data Science Jobs in Delaware (NOW HIRING)

Agilent

Head of Data Engineering, AI CoE

Wilmington, DE · On-site

$171K - $321K/yr

Provides technical and organizational leadership in the development of data platforms and tools that support analytics, data science, predictive and prescriptive modeling, and automation initiatives ...

Agilent

Head of Data Engineering, AI CoE

Wilmington, DE

$171K - $321K/yr

Provides technical and organizational leadership in the development of data platforms and tools that support analytics, data science, predictive and prescriptive modeling, and automation initiatives ...

New

OneMain Financial

Manager, Data Science

Wilmington, DE · On-site

Manager, Data Science Location: Wilmington, DE (Hybrid Schedule) OneMain Financial is seeking a ... Pursue some of them. Responsibilities: * Identify high impact opportunities where a model or data ...

Athena LLC

Role Overview The Data Science Intern will help us to understand the performance of Executive Partners (XPs) and build advanced matching models to evaluate Athena's Executive Partners (XPs) and ...

Athenago

Data Science Intern

Wilmington, DE

Role Overview The Data Science Intern will help us to understand the performance of Executive Partners (XPs) and build advanced matching models to evaluate Athena's Executive Partners (XPs) and ...

OneMain Financial

Manager, Data Science

Wilmington, DE · Hybrid

Manager, Data Science Location: Wilmington, DE (Hybrid) We are seeking a Manager to join our Data ... This is an exciting opportunity to develop and manage an integrative set of models across a diverse ...

OneMain Financial

Manager, Data Science

Wilmington, DE · On-site

Manager, Data Science Location: Wilmington, DE (Hybrid) We are seeking a Manager to join our Data ... This is an exciting opportunity to develop and manage an integrative set of models across a diverse ...

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Head Of Data Science information

See Delaware salary details

$47.4K

$151.3K

$248.9K

How much do head of data science jobs pay per year?

As of Aug 1, 2026, the average yearly pay for head of data science in Delaware is $151,311.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,762.00 and $178,443.00 per year, depending on experience, location, and employer.

What is the highest paid job in data science?

The highest paid roles in data science are often senior positions such as Chief Data Officer, Director of Data Science, or Lead Data Scientist, with salaries exceeding $150,000 annually and sometimes reaching over $200,000 for those with extensive experience, advanced skills in machine learning, and industry expertise. These roles typically require strong leadership, strategic thinking, and proficiency with tools like Python, R, and cloud platforms.

What is the 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this principle to focus on the most impactful variables, optimize models, and prioritize tasks for efficiency and effectiveness.

Will AI replace data science?

As a Head of Data Science, it is clear that AI tools and automation are transforming data analysis and modeling processes, but they are not replacing the need for skilled data scientists. Instead, AI enhances the role by handling repetitive tasks, allowing data scientists to focus on complex problem-solving, strategy, and interpretation. Continuous learning of programming languages like Python and understanding of machine learning algorithms remain essential for the profession.

What are some common challenges faced by Heads of Data Science in their day-to-day work?

A Head Of Data Science often encounters the challenge of balancing technical innovation with business objectives, ensuring that data projects align with overall company goals. They must navigate complex data environments, ensuring data quality and governance while managing teams with varied skill sets. Collaboration across departments, such as engineering, product, and business units, is essential to integrate analytics solutions effectively. Additionally, they are responsible for mentoring team members and communicating complex insights to non-technical stakeholders, which requires both technical depth and strong interpersonal skills.

What is a Head Of Data Science job?

The Head of Data Science is responsible for leading a company's data science strategy, managing data teams, and developing advanced analytics solutions to drive business value. They oversee data-driven decision-making, model development, and the deployment of AI/ML technologies. This role requires strong leadership, technical expertise, and the ability to collaborate with cross-functional teams to align data initiatives with business goals.

How to become head of data science?

To become a head of data science, candidates typically need extensive experience in data analysis, machine learning, and statistical modeling, often 7+ years, along with strong leadership and project management skills. A relevant advanced degree such as a master's or Ph.D. in a quantitative field is common, and proficiency with tools like Python, R, and SQL is essential. Building a track record of successful projects and developing strategic thinking are key steps toward this leadership role.

What are the key skills and qualifications needed to thrive in the Head Of Data Science position, and why are they important?

To thrive as a Head Of Data Science, you need advanced expertise in machine learning, statistical modeling, and data strategy, usually backed by a graduate degree in a quantitative field and extensive industry experience. Familiarity with programming languages like Python or R, cloud platforms, and tools such as SQL, Spark, or TensorFlow, as well as experience with data governance frameworks, is highly valued. Strong leadership, strategic vision, and communication skills help drive cross-functional collaboration and inspire diverse teams. These skills are crucial for delivering business value, guiding data-driven decisions, and scaling impactful analytics initiatives across the organization.

What are the most commonly searched types of Of Data Science jobs in Delaware? The most popular types of Of Data Science jobs in Delaware are:
What are popular job titles related to Head Of Data Science jobs in Delaware? For Head Of Data Science jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Head Of Data Science jobs in Delaware look for? The top searched job categories for Head Of Data Science jobs in Delaware are:
What cities in Delaware are hiring for Head Of Data Science jobs? Cities in Delaware with the most Head Of Data Science job openings:
Head Of Data Science jobs near you

Senior Director of Data Science (Remote)

Forbes Advisor

Wilmington, DE • On-site, Remote

Full-time

Posted 25 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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