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Online Data Science Jobs in Delaware (NOW HIRING)

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 ...

Work with product managers, data scientists, ML engineers, and other stakeholders to understand requirements. * Design, develop, and deploy state-of-the-art AI/ML/GenAI solutions to meet business ...

New

Customer currently has about 20 models deployed but their operations model and data pipeline are a mess and not built well. We are looking for an architect to go through assessment and design phase ...

Customer currently has about 20 models deployed but their operations model and data pipeline are a mess and not built well. We are looking for an architect to go through assessment and design phase ...

Customer currently has about 20 models deployed but their operations model and data pipeline are a mess and not built well. We are looking for an architect to go through assessment and design phase ...

Big Data Developer

Wilmington, DE

$51.50 - $66.75/hr

... on-line and batch processing, shell scripts / Perl programming Experience in Consumer Banking and ... Technical Bachelor's Degree in Computer Science / Engineering Skills: Hadoop, Spark, Impala and ...

Big Data Developer

Wilmington, DE

$51.50 - $66.75/hr

... on-line and batch processing, shell scripts / Perl programming Experience in Consumer Banking and ... Technical Bachelor's Degree in Computer Science / Engineering Skills: Hadoop, Spark, Impala and ...

Bachelor''s degree in Computer Science, Information Systems, Statistics, Finance, Mathematics, or related field. * 4+ years of experience as a Data Analyst, Business Data Analyst, or Data Management ...

Data Engineer

Wilmington, DE · On-site

$111K - $133K/yr

Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field (Master's preferred).3-5 years of experience in data engineering, data architecture, or cloud ...

Data Engineer

Wilmington, DE · On-site

$111K - $133K/yr

Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field (Master's preferred). 3-5 years of experience in data engineering, data architecture, or cloud ...

Data Engineer

Wilmington, DE · On-site

$111K - $133K/yr

Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field (Master's preferred). * 3-5 years of experience in data engineering, data architecture, or cloud ...

Showing results 41-60

Online Data Science information

See Delaware salary details

$5

$40

$90

How much do online data science jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for online data science in Delaware is $40.11, according to ZipRecruiter salary data. Most workers in this role earn between $16.71 and $59.15 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an online data scientist?

To thrive as an Online Data Scientist, you need a solid understanding of statistics, programming (often Python or R), and data analysis, typically supported by a degree in a quantitative field. Proficiency with data manipulation tools like SQL, machine learning libraries (such as scikit-learn or TensorFlow), and cloud platforms (like AWS or Google Cloud) is commonly required. Strong problem-solving skills, effective communication, and the ability to work independently are crucial soft skills for this remote role. These competencies enable you to extract actionable insights from data, collaborate with diverse teams, and drive data-informed decision-making in a virtual environment.

Can I become an online data scientist?

Yes, you can become an online data scientist by developing skills in programming, statistics, and machine learning, often through online courses and certifications. Many data scientists work remotely, utilizing tools like Python, R, and cloud platforms to analyze data and build models. A strong foundation in mathematics and experience with data analysis tools are essential for success in this role.

What is online data science?

Online data science refers to the practice of analyzing and interpreting large sets of data using statistical techniques and computational tools, often through remote or web-based platforms. Professionals in this field use programming, machine learning, and data visualization to extract insights and inform decision-making, all while working online or in virtual environments. This approach allows for flexible collaboration, access to global data sources, and scalable solutions for businesses and organizations.

How do online data science professionals typically collaborate with cross-functional teams in a remote environment?

Online data science professionals often work closely with engineers, product managers, and business analysts through digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings and shared documentation help ensure alignment on project goals, data requirements, and timelines. Effective communication is essential for translating complex data insights into actionable recommendations for non-technical stakeholders. Building strong relationships across teams is key to successfully integrating data science solutions into broader organizational strategies.

Can I work remotely as an online data scientist?

Online data scientists can often work remotely, as the role primarily involves analyzing data, programming, and using tools like Python or R, which can be done from any location with internet access. Many companies offer remote positions for data science roles, especially for experienced professionals with strong communication skills and proficiency in cloud-based platforms. However, some roles may require occasional on-site meetings or collaboration, depending on the company's policies.
What are the most commonly searched types of Data Science jobs in Delaware? The most popular types of Data Science jobs in Delaware are:
Infographic showing various Online Data Science job openings in Delaware as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $83,424 per year, or $40.1 per hour.

Data Owner Vice President - Corporate Sector

JPMorgan Chase & Co.

Newark, DE • On-site

Full-time

Medical, Retirement

Re-posted 22 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 493 frontline employees who took The Breakroom Quiz

73rd of 170 rated banks


Job description


JPMorganChase's Chief Data and Analytics Office is accelerating the firm's data and analytics journey-strengthening data quality, integrity, and security while enabling insights that improve decision-making, productivity, and risk management.
As a Data Owner Lead, Vice President at JPMorganChase within the Corporate Finance and Treasury and Chief Investment Office Chief Data Office (part of Corporate Finance and Corporate Controllers), you will coordinate across data providers and data consumers to ensure business data is clearly defined, fit for purpose, and well governed. You will drive execution of data strategies, improve end-to-end data quality and controls, and help embed a strong, risk-aware data culture that supports innovation and business outcomes.
Job responsibilities
  • Implement data strategies and plans that support business operations and strategic objectives
  • Manage project execution, milestones, and delivery timelines while identifying and mitigating risks, bottlenecks, and inefficiencies
  • Partner with stakeholders to define business data meaning, purpose, and appropriate classification using clear metadata
  • Document requirements for data sourcing, content, and quality, coordinating with technology and business partners to deliver timely and accurate data
  • Develop and oversee processes to identify, monitor, and mitigate data risks across the data lifecycle, including protection, retention, storage, use, and quality
  • Support analytics and data products by identifying, approving, and governing data integrated into analytics platforms
  • Communicate, track, and resolve data issues in a timely and consistent manner to maintain data integrity and trust

Required qualifications, capabilities and skills
  • Bachelor's degree in Data Science, Computer Science, Information Systems, Data Analytics, or a related field
  • 6+ years of experience in data management, data governance, risk management, analytics, or a related field
  • Demonstrated leadership experience managing delivery timelines and driving outcomes across multiple stakeholders
  • Strong knowledge of data governance and data lifecycle management, including data protection, data quality, and data classification
  • Strong analytical and problem-solving skills, with ability to translate complex data topics into clear business actions
  • Strong communication skills, including ability to present to both technical and non-technical audiences and senior stakeholders
  • Experience building effective partnerships and influencing across teams to deliver large-scale data initiatives

Preferred qualifications, capabilities and skills
  • Experience with cloud-based data platforms and technologies (such as Amazon Web Services, Microsoft Azure, or Google Cloud)
  • Familiarity with advanced analytics, machine learning, or artificial intelligence in a business context
  • Working knowledge of query or analytical programming languages
  • Experience leading data-enabled change initiatives that improve business processes and efficiency

About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
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.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the Team
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
Global Finance & Business Management works to strategically manage capital, drive growth and efficiencies, maintain financial reporting and proactively manage risk. By providing information, analysis and recommendations to improve results and drive decisions, teams ensure the company can navigate all types of market conditions while protecting our fortress balance sheet.

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