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Data Science Manager Jobs in Delaware (NOW HIRING)

Morson Talent

AI Adoption Specialist

Wilmington, DE · On-site +1

$35 - $45/hr

In this role, you will work with product managers, developers, and business stakeholders to support ... At least 1 year of experience in data science, analytics, automation, or AIrelated work. Desired ...

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Data Science Manager information

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$31K

$97.2K

$172.1K

How much do data science manager jobs pay per year?

As of Jul 23, 2026, the average yearly pay for data science manager in Delaware is $97,228.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,100.00 and $125,600.00 per year, depending on experience, location, and employer.

What are the primary responsibilities of a Data Science Manager on a day-to-day basis?

As a Data Science Manager, your daily responsibilities typically include overseeing a team of data scientists and analysts, setting project priorities, and ensuring the timely delivery of data-driven solutions. You will often collaborate with cross-functional teams, such as engineering, product, and business stakeholders, to define problems, scope solutions, and communicate analytical insights. Your role also involves mentoring team members, reviewing code and analysis, and driving best practices in data science methodologies. This position requires balancing technical project oversight with team leadership and strategic business alignment.

What is a Data Science Manager job?

A Data Science Manager leads a team of data scientists to develop and implement data-driven solutions for business challenges. They oversee project timelines, ensure the quality of data analysis, and collaborate with cross-functional teams to drive decision-making. In addition to technical expertise, they require strong leadership, communication, and strategic thinking skills. Their role bridges the gap between data science initiatives and business objectives, ensuring the team's work aligns with company goals.

Is 40 too late for data science?

Age is not a barrier to becoming a data science manager; many professionals transition into data science roles later in their careers. Success depends on relevant skills, experience, and continuous learning in areas like programming, statistics, and machine learning. Employers value diverse backgrounds and practical expertise regardless of age.

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 data. Data scientists often use this principle to focus on the most impactful features, models, or data subsets to improve efficiency and outcomes in projects.

What is the role of a data science manager?

A data science manager oversees data science teams, guiding project priorities, setting strategic goals, and ensuring the effective use of data analysis and modeling techniques. They coordinate between technical staff and business stakeholders, often requiring skills in leadership, communication, and familiarity with tools like Python, R, or SQL. Their responsibilities include managing workflows, mentoring team members, and ensuring project deliverables align with organizational objectives.

How much do data scientist managers make?

Data Science Managers typically earn between $110,000 and $160,000 annually, with salaries varying based on experience, location, and company size. They often oversee teams of data scientists, coordinate projects, and require strong skills in analytics tools and leadership. Senior roles or those in high-cost areas can offer higher compensation.

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

To thrive as a Data Science Manager, you need strong analytical skills, experience in machine learning and data analytics, and a background in statistics or computer science, often supported by an advanced degree. Familiarity with tools like Python, R, SQL, cloud platforms, and experience managing data science projects are highly valued, and certifications such as Certified Analytics Professional (CAP) can be advantageous. Excellent leadership, project management, and communication skills are crucial for guiding teams and translating technical findings for stakeholders. These abilities ensure effective team performance, successful project delivery, and the alignment of data science initiatives with organizational goals.

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 job categories do people searching Data Science Manager jobs in Delaware look for? The top searched job categories for Data Science Manager jobs in Delaware are:
What cities in Delaware are hiring for Data Science Manager jobs? Cities in Delaware with the most Data Science Manager job openings:
Data Science Manager jobs near you
Infographic showing various Data Science Manager job openings in Delaware as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $97,228 per year, or $46.7 per hour.
Marketing Analytics Senior Associate - Card Data Analytics

Marketing Analytics Senior Associate - Card Data Analytics

JPMorgan Chase & Co.

Wilmington, DE • On-site

Full-time

Medical, Retirement

This job post has expired today. Applications are no longer accepted.

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 492 frontline employees who took The Breakroom Quiz

60th of 150 rated banks

Job description


Join the Card Marketing Analytics team within Consumer Community Banking Data & Analytics and help shape the strategy of Chase's Credit Card marketing campaigns. This role offers the opportunity to influence multimillion dollar marketing spend, develop your analytics skills, and collaborate with talented colleagues. Grow your career in a dynamic environment that values innovation, strategic thinking, and impactful business decisions.
As a Marketing Analytics Senior Associate in the Card Data & Analytics team, you will focus on translating customer behavioral data into insights that drive marketing strategies to influence card acquisitions on digital channels. You will develop, plan, and execute analytical projects both individually and as part of a team. You will work closely with Analysts, Channel Marketing partners, Data Owners, and Product Owners to deliver capabilities that unlock the power of our data and drive business growth.
You will own end-to-end analytics for multiple campaign strategies, conduct research and recommend marketing strategies, and synthesize large volumes of data into actionable insights. Your work will support business growth targets and provide practical data insights to senior leadership through compelling presentations and visualizations.
Job Responsibilities
  • Own end-to-end analytics for multiple campaign strategies on digital channels, including campaign performance measurement, ad hoc analysis, A/B and incrementality test reads, and profitability and optimization analysis
  • Partner with marketing strategy managers across Card Digital channels to optimize campaigns, develop new strategies, and provide best-in-class analytics to influence and grow new card acquisitions
  • Conduct research and recommend marketing strategies in the digital space to the card business
  • Support business growth targets by providing concise, insightful, and timely analytics for key trends by analyzing large datasets
  • Synthesize large volumes of data into actionable insights to influence business and marketing strategies
  • Deliver practical data insights in a compelling manner actionable by senior leadership using presentations, discussions, and visualizations

Required qualifications, capabilities, and skills
  • Bachelor's and Master's degree in a quantitative discipline (Data Science/Analytics, Mathematics, Statistics, Physics, Engineering, Economics, Finance or related fields)
  • 3+ years of industry experience in business analytics roles (e.g., digital analytics, customer analytics, marketing analytics, sales analytics, business insights)
  • Advanced knowledge of querying databases using SQL
  • Experience across a broad range of modern data science and analytics tools (Hive, Python, R, Alteryx)
  • Experience with visualization techniques for data analysis and presentation (Tableau, Power BI)
  • Experience with web analytics tools (Google Analytics, Adobe Analytics)
  • Knowledge in modern data mining, quantitative research, and data science techniques (e.g., Machine learning)
  • Superior written, oral communication and presentation skills with experience communicating concisely and effectively with all levels of management and partners

Preferred qualifications, capabilities, and skills
  • Financial services background
  • Intellectually curious and eager to become subject matter expert in their focus area
  • A strategic thinker with the ability to focus on business goals
  • Highly organized and able to prioritize multiple tasks

About Us
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
About the Team
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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