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Vice President Data Science Jobs in Delaware (NOW HIRING)

Ensure clean data architecture and reporting rigor * Identify automation opportunities and ... True VP scope with enterprise visibility * Lead a global team of ~20 * Opportunity to build - not ...

Drive targeted vertical strategies across healthcare, pharmaceutical, higher education, data ... Financial & Operational Alignment Partner closely with the VP of Service and VP of Operations to ...

Drive targeted vertical strategies across healthcare, pharmaceutical, higher education, data ... Financial & Operational Alignment Partner closely with the VP of Service and VP of Operations to ...

... oriented Vice President of Sales to driving topline growth, margin expansion, and client ... Drive targeted vertical strategies across healthcare, pharmaceutical, higher education, data ...

Showing results 21-40

Vice President Data Science information

See Delaware salary details

$43.5K

$157.7K

$277.7K

How much do vice president data science jobs pay per year?

As of Aug 21, 2026, the average yearly pay for vice president data science in Delaware is $157,668.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,100.00 and $190,200.00 per year, depending on experience, location, and employer.

What does a vice president of data science do?

A Vice President of Data Science leads the data science division within an organization, overseeing teams that analyze large datasets to drive strategic business decisions. They are responsible for developing data-driven strategies, managing data science projects, and ensuring the alignment of analytics initiatives with the company’s goals. This executive role also involves collaborating with other leaders, mentoring data science teams, and staying updated on the latest technologies and trends in data science. Ultimately, the Vice President of Data Science ensures that the organization's data assets are leveraged to create measurable business value.

What does a vice president of data science do?

As vice president of data science, your responsibilities include targeting audiences through both online and offline data. You lead a team of analysts, manage client needs, and implement solutions to build brands. Predictive analytics is a large part of this job, as is the ability to create strong content based on data science. You use analytical data to develop a business model that reaches a broader audience. Other duties include providing thought leadership, anticipating project risks, and translating analytical science into actionable marketing campaigns. This role is almost always in-house.

What are the key skills and qualifications needed to thrive as a vice president of data science, and why are they important?

To thrive as a Vice President of Data Science, you need deep expertise in statistics, machine learning, and data analytics, typically supported by an advanced degree in a quantitative field and significant leadership experience. Familiarity with data platforms like Hadoop, Spark, and cloud-based analytics tools, as well as experience with programming languages such as Python or R, is crucial, along with certifications in data management or analytics. Strong strategic vision, communication, and team leadership skills distinguish top performers in this role. These skills and qualities drive innovation, enable data-driven decision-making, and ensure alignment with organizational goals.

What are some common challenges faced by a vice president of data science when scaling data teams across an organization?

A Vice President of Data Science often encounters challenges such as aligning data initiatives with business objectives, ensuring consistent data governance practices, and fostering effective collaboration between technical and non-technical teams. Balancing the need for rapid innovation with maintaining data quality and compliance can also be demanding. Additionally, scaling the team requires strong leadership skills to recruit, mentor, and retain top talent while promoting a culture of knowledge sharing and continuous learning.

What is the difference between Vice President Data Science vs Data Scientist?

AspectVice President Data ScienceData Scientist
Required CredentialsAdvanced degrees (Master's/PhD), leadership experienceBachelor's or Master's in relevant field
Work EnvironmentExecutive leadership, strategic planningTechnical analysis, model development
Employer & Industry UsageCorporate, large organizations, tech, financeVaried industries, research labs, startups

The Vice President Data Science typically oversees data strategy and manages teams, requiring leadership and strategic skills. Data Scientists focus on building models and analyzing data. While both roles require strong technical skills, the VP role emphasizes management and vision, whereas Data Scientists are more hands-on with data analysis.

What are the most commonly searched types of Data Science jobs in Delaware?

The most popular types of Data Science jobs in Delaware are:

What are popular job titles related to Vice President Data Science jobs in Delaware?

For Vice President Data Science jobs in Delaware, the most frequently searched job titles are:

Infographic showing various Vice President Data Science job openings in Delaware as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $157,668 per year, or $75.8 per hour.

Vice President, Data Scientist - Credit Risk, Risk Insights - Chase 360

JP Morgan Chase

Wilmington, DE • On-site

Full-time

Medical, Retirement

Re-posted yesterday


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 495 frontline employees who took The Breakroom Quiz

72nd of 171 rated banks


Job description

Shape how JPMorganChase understands and manages consumer and small business credit risk at scale. In this role, you'll turn rich payment and customer data into insights that directly influence lending strategy and risk decisions. You'll partner with senior Risk leaders to answer high-impact questions, quantify tradeoffs, and monitor emerging risks. You'll also help modernize the analytics lifecycle by identifying where GenAI can deliver step-change improvements.

As a Vice President in the Chase-360 Payment Analytics team, you will leverage cross-LOB customer data to generate insights into the health of consumers and small businesses, inform and influence credit strategy across consumer and business banking lending products, and develop attributes to support credit models and strategy.  
You are a self-starter who thrives in a fast-paced, dynamic environment. You are intellectually curious, always asking "why" and "what if," and challenging assumptions to uncover deeper insights. You will collaborate closely with cross functional stakeholders, including the Risk leadership team to identify critical business questions and translate them into actionable analytical solutions 

Job Responsibilities

  • Utilize skills in data analysis, modeling, data engineering, and project management to initiate, develop, and complete advanced analytics projects.
  • Perform credit-focused analytics to identify, quantify, and monitor risks in consumers and small businesses, leveraging diverse, large internal data sources.
  • Translate complex data into clear, actionable insights that inform strategic decisions.
  • Conduct independent research on emerging risks relevant to consumers and small businesses, proactively addressing new challenges and opportunities.
  • Deliver executive-ready narratives-develop and communicate compelling insights, recommendations, and tradeoffs to senior leaders 
  • Drive execution in a fast-paced environment, prioritizing across multiple initiatives, aligning stakeholders, and ensuring delivery against roadmap milestones and business outcomes.
  • Embrace GenAI-enabled innovation across the data science lifecycle, and proactively identify where GenAI can create step-changes to existing processes and risk monitoring.
  • Stay up to date on industry trends, macroeconomic developments, technological advances, and best practices in risk analytics.

Required qualifications, capabilities, and skills

  • Advanced degree in statistics, econometrics, or a related quantitative field, with minimum 5+ years of risk management or quantitative experience; alternatively, BS degree with a minimum of 7 years relevant experience.
  • Deep expertise of the Consumer Financial Services industry
  • Demonstrated strategic and commercial mindset-ability to frame ambiguous problems, define clear success metrics, prioritize high-ROI work
  • Deep expertise in Python and SQL.
  • Demonstrated analytical and problem-solving skills across conceptualization and execution of analytics oriented projects.
  • Ability to synthesize diverse information and develop actionable recommendation.
  • Ability to manage and prioritize competing activities and achieve tight timelines on complex deliverables. 
  • Ability to communicate complex findings clearly in both in written format and verbally to technical and non-technical audiences.

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.  We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

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