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Vice President Data Scientist Jobs in Delaware (NOW HIRING)

Identify and prioritize opportunities across aerospace, life sciences, semiconductor, and energy ... Utilize data, analytics, and customer insights to refine strategy and improve performance * Monitor ...

Identify and prioritize opportunities across aerospace, life sciences, semiconductor, and energy ... Utilize data, analytics, and customer insights to refine strategy and improve performance * Monitor ...

Identify and prioritize opportunities across aerospace, life sciences, semiconductor, and energy ... Utilize data, analytics, and customer insights to refine strategy and improve performance * Monitor ...

That begins with how we use our science, data, and unmatched technical expertise to develop market ... The VP will serve as a visible leader, coach, and role model-driving market penetration ...

That begins with how we use our science, data, and unmatched technical expertise to develop market ... The VP will serve as a visible leader, coach, and role model-driving market penetration ...

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 ...

Acxiom is seeking a strategic, data-driven, and innovative Vice President of Talent Acquisition to lead the organization's global talent acquisition function. This executive leader will be ...

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Vice President Data Scientist information

See Delaware salary details

$37.5K

$122.8K

$196.7K

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

As of May 28, 2026, the average yearly pay for vice president data scientist in Delaware is $122,844.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,600.00 and $136,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Vice President Data Scientist, and why are they important?

To excel as a Vice President Data Scientist, you need advanced expertise in statistical analysis, machine learning, and data strategy, often supported by a graduate degree in a quantitative field and extensive industry experience. Mastery of tools such as Python, R, SQL, big data platforms (e.g., Hadoop, Spark), and familiarity with cloud services and data governance frameworks are typically required. Leadership, strategic vision, and excellent communication skills distinguish top performers by enabling them to guide teams and align analytics initiatives with business goals. These skills are critical for driving data-driven decision-making and delivering significant value at an organizational level.

How does a Vice President Data Scientist typically collaborate with other executive leaders and technical teams within an organization?

As a Vice President Data Scientist, collaboration is a key part of the role. You’ll regularly work with other executive leaders to align data strategy with overall business objectives, present insights, and recommend data-driven initiatives. At the same time, you’ll oversee and guide technical teams, ensuring they have the resources, direction, and support needed to execute complex analytics projects. This dual collaboration fosters a bridge between business strategy and technical execution, often requiring strong communication skills and the ability to translate technical concepts for non-technical stakeholders.

What does a Vice President Data Scientist do?

A Vice President Data Scientist oversees the data science strategy and operations within an organization, leading teams of data scientists and analysts. They are responsible for setting the vision for how data can drive business growth, managing advanced analytics projects, and ensuring data-driven decision-making across departments. This role often involves collaborating with other executives, shaping data governance policies, and identifying opportunities to leverage machine learning and AI for business advantage. They also mentor team members and help recruit top talent to the data science team.
What are the most commonly searched types of Data Scientist jobs in Delaware? The most popular types of Data Scientist jobs in Delaware are:
What cities in Delaware are hiring for Vice President Data Scientist jobs? Cities in Delaware with the most Vice President Data Scientist job openings:
Data Science Vice President - Co Brand Analytics

Data Science Vice President - Co Brand Analytics

JP Morgan Chase

Wilmington, DE • On-site

Full-time

Medical, Retirement

Posted 27 days ago


JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 466 frontline employees who took The Breakroom Quiz

46th of 141 rated banks


Job description

We're driven by curiosity, passion, optimism, and the belief that everybody can grow.


As a Vice President Data Science Co Brand analytics within Card Data & Analytics, you will deliver strategic analytical insights for cobrand credit card partnerships, shaping strategies for acquisition, engagement, spend activation, retention, and attrition. Your work influences partnership strategies, cardholder value, rewards optimization, and customer experience, with high visibility to senior stakeholders.

Job Responsibilities:

  • Own analytics strategy for Card portfolio performance
  • Mentor junior data scientists as a subject matter expert
  • Consult on experimental design and strategy with partners and internal teams
  • Present findings and actionable recommendations to senior management
  • Drive thought leadership in Gen AI use cases and segmentation frameworks
  • Recruit and develop diverse data science talent
  • Foster an inclusive team environment
  • Maintain rigorous controls for data accuracy and compliance
  • Develop new strategies with cobrand partners, marketing, product, and Data & Analytics teams
  • Enhance cross-partner initiatives
  • Prepare partner reporting and performance insights

Required Qualifications, Capabilities, and Skills:

  • Master's in quantitative field and 5+ years analytics experience
  • Exceptional analytical, quantitative, problem-solving, and communication skills
  • Intellectual curiosity for business problem-solving
  • Leadership and collaboration abilities
  • Proficiency in statistical software (Python, R, SAS) and data querying languages (SQL)
  • Familiarity with GenAI and prompt engineering basics
  • Experience with modern analytics tools (SAS, SQL, Hive, Hadoop, Spark, Python, Tableau, Alteryx)
  • Ability to convey complex information to technical and non-technical audiences

Preferred Qualifications, Capabilities, and Skills:

  • Credit card, payments, or cobrand partnership analytics experience
  • Experience with loyalty/rewards program analytics
  • Proficiency in Tableau or similar BI/visualization tools

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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