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Remote Data Science Jobs in Delaware (NOW HIRING)

Monitor, perform data review, and summarize safety and efficacy data in ongoing studies. * Assist ... Work Environment * Preference is Hybrid, might be open to remote with presence on site for ...

Monitor, perform data review, and summarize safety and efficacy data in ongoing studies. * Assist ... Work Environment * Preference is Hybrid, might be open to remote with presence on site for ...

Coder II (Remote)

Newark, DE · On-site +1

$23.85 - $35.78/hr

Abstracts pertinent data, determines and sequences codes for diagnoses and procedures, and enters ... Associate or Bachelor Science degree in Health Information Technology preferred. * Strong knowledge ...

Coder II (Remote)

Newark, DE · Remote

$23.85 - $35.78/hr

Abstracts pertinent data, determines and sequences codes for diagnoses and procedures, and enters ... Associate or Bachelor Science degree in Health Information Technology preferred. * Strong knowledge ...

SDS Specialist

Wilmington, DE · On-site +1

$20 - $25/hr

Collaborate with IT teams to optimize databases and ensure data quality * Support major projects ... Bachelor's degree in a scientific discipline (Chemistry, Toxicology, Environmental Science, or ...

New

Director, DFIR (Remote)

Wilmington, DE · Remote

$185K - $200K/yr

... malware, data theft, and other threats. Our client-centric approach reduces stress and provides ... Bachelor's degree in Cybersecurity, Computer Science, Information Technology, related degree, or ...

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Showing results 1-20

Remote Data Science information

See Delaware salary details

$22.1K

$98.2K

$187.4K

How much do remote data science jobs pay per year?

As of Jun 19, 2026, the average yearly pay for remote data science in Delaware is $98,181.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,715.00 and $136,180.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

Can a data scientist work fully remote?

Yes, many data scientists work fully remote, especially in companies that prioritize flexible work arrangements. Remote data science roles often require strong communication skills, proficiency with collaboration tools, and the ability to work independently on projects using programming languages like Python or R. However, some positions may require occasional in-person meetings or on-site presence depending on company policies.

Is 40 too late for data science?

Age is not a barrier to entering data science, and many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

Will AI replace data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not eliminate the need for human expertise in interpreting results, designing models, and making strategic decisions. Data scientists will continue to be essential for developing complex algorithms, understanding business context, and ensuring ethical use of AI tools. Skills in programming, statistical analysis, and machine learning remain critical for the profession's evolving landscape.

What Are the Qualifications to Get a Remote Data Science Job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

What is the difference between Remote Data Science vs Remote Data Analyst?

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables, optimize models, and prioritize tasks for efficiency.
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 Remote Data Science jobs in Delaware? For Remote Data Science jobs in Delaware, the most frequently searched job titles are:
What cities in Delaware are hiring for Remote Data Science jobs? Cities in Delaware with the most Remote Data Science job openings:

Data Analyst

ECCLESIASTES INC

Newark, DE • Remote

Full-time

Posted 12 days ago


Job description


Must be a U.S. Citizen

Job Summary

Analyzes data by combining multiple data sources and researching various system and healthcare issues in order to perform on-time research and analysis to formulate solutions for issues of low to moderate scope and complexity.
Education & Experience
Required:

Bachelor's degree in Business Administration, Finance, Healthcare, Information Management, or equivalent experience
If supporting Ecclesiastes contract, must be a U.S. Citizen
If supporting Ecclesiastes contract, must be able to receive a favorable Interim and adjudicated final Department of Defense (DoD) background investigation
1 year experience in healthcare analysis, data management, or equivalent training or education
Proficient in Microsoft Excel
Preferred:
Familiarity with healthcare claims and payment data
Basic knowledge of JIRA and ability to write user stories in Agile
Proficiency in the use of computer systems, database applications, Microsoft Office, structured query language (SQL), MS Azure, Databricks, and/or Edifecs
Experience with business process needs analysis and requirements gathering
Experience with JAD sessions and performing detailed fact gathering
Familiarity with reporting tools such as PowerBI
Key Responsibilities
Compiles, organizes, and conducts various performance, cost, budget, and/or specialized data analysis to document and identify trends or potential issues.
Reconciles data and develops exexplanationsf variances as necessary.
Meets with requestors to get requirements and develop solutions to fulfill various requests (reports, trends, measures, forecasts).
Maintains responsibility for assigned reports, producing them accurately and in a timely manner.
Establishes relationship with business owners of reports.
Responds to customer questions and requests in a timely manner.
Maintains documentation and ensures all procedures support department and company policies and procedures.
Works with management to understand and interpret the impact of decisions made by retrieving, analyzing, and identifying variations and trends in healthcare delivery and communicating the information obtained from analysis.
Other duties as assigned.
Regular and reliable attendance is required.

This is a remote position.