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Remote Science Jobs in Newark, DE (NOW HIRING)

Bread Financial

Lead Data Scientist

Chadds Ford, PA · On-site +1

$144K - $250K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Bachelor's Degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

MasTec Utility Services

Wetland Scientist nex

Wilmington, DE · On-site +1

$72K - $95K/yr

... hybrid or remote role supporting operations in Eastern Pennsylvania and Southern New Jersey ... S. or M.S degree in Environmental Science, Environmental Engineering, Biology, Ecology, Botany ...

MasTec Utility Services

Wetland Scientist nex

Wilmington, DE · On-site +1

$72K - $95K/yr

... hybrid or remote role supporting operations in Eastern Pennsylvania and Southern New Jersey ... S. or M.S degree in Environmental Science, Environmental Engineering, Biology, Ecology, Botany ...

MasTec Utility Services

Wetland Scientist nex

Wilmington, DE · On-site +1

$72K - $95K/yr

... hybrid or remote role supporting operations in Eastern Pennsylvania and Southern New Jersey ... S. or M.S degree in Environmental Science, Environmental Engineering, Biology, Ecology, Botany ...

MasTec Utility Services

Wetland Scientist nex

Wilmington, DE · On-site +1

$72K - $95K/yr

... hybrid or remote role supporting operations in Eastern Pennsylvania and Southern New Jersey ... S. or M.S degree in Environmental Science, Environmental Engineering, Biology, Ecology, Botany ...

MasTec Utility Services

Wetland Scientist nex

Wilmington, DE · On-site +1

$72K - $95K/yr

... hybrid or remote role supporting operations in Eastern Pennsylvania and Southern New Jersey ... S. or M.S degree in Environmental Science, Environmental Engineering, Biology, Ecology, Botany ...

MasTec Utility Services

Wetland Scientist nex

Wilmington, DE · On-site +1

$72K - $95K/yr

... hybrid or remote role supporting operations in Eastern Pennsylvania and Southern New Jersey ... S. or M.S degree in Environmental Science, Environmental Engineering, Biology, Ecology, Botany ...

MasTec Utility Services

Wetland Scientist nex

Wilmington, DE · On-site +1

$72K - $95K/yr

... hybrid or remote role supporting operations in Eastern Pennsylvania and Southern New Jersey ... S. or M.S degree in Environmental Science, Environmental Engineering, Biology, Ecology, Botany ...

MasTec Utility Services

Wetland Scientist nex

Wilmington, DE · On-site +1

$72K - $95K/yr

... hybrid or remote role supporting operations in Eastern Pennsylvania and Southern New Jersey ... S. or M.S degree in Environmental Science, Environmental Engineering, Biology, Ecology, Botany ...

MasTec Utility Services

Wetland Scientist nex

Wilmington, DE · On-site +1

$72K - $95K/yr

... hybrid or remote role supporting operations in Eastern Pennsylvania and Southern New Jersey ... S. or M.S degree in Environmental Science, Environmental Engineering, Biology, Ecology, Botany ...

MasTec Utility Services

Wetland Scientist nex

Wilmington, DE · On-site +1

$72K - $95K/yr

... hybrid or remote role supporting operations in Eastern Pennsylvania and Southern New Jersey ... S. or M.S degree in Environmental Science, Environmental Engineering, Biology, Ecology, Botany ...

Waters Corporation

Rheology Sales Specialist

New Castle, DE · Remote

$21.75 - $29.50/hr

Demonstrated ability to identify customer needs, translate market requirements, and influence product requirements. #LI-Remote Waters Corporation (NYSE:WAT) is a global leader in life sciences and ...

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Showing results 1-20

All JobsScience JobsRemote Science JobsRemote Science Jobs in Newark, DE

Remote Science information

See Newark, DE salary details

$24K

$47.3K

$77.2K

How much do remote science jobs pay per year?

As of Aug 14, 2026, the average yearly pay for remote science in Newark, DE is $47,309.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,600.00 and $50,800.00 per year, depending on experience, location, and employer.

What are common challenges faced by professionals working in remote science roles, and how can they be addressed?

Professionals in remote science roles often face challenges such as effective communication across time zones, limited access to lab equipment, and maintaining collaboration with team members. To address these issues, it is helpful to establish regular virtual check-ins, utilize collaborative digital tools, and set clear expectations for project milestones. Many teams also adopt cloud-based data sharing and remote access to specialized software, ensuring that scientific work continues smoothly despite physical distance.

What remote science jobs are there?

Remote science jobs include roles such as research scientists, data analysts, laboratory technicians, and environmental consultants. These positions often require specialized knowledge, relevant degrees, and skills in data analysis, laboratory techniques, or scientific software, with many roles offering flexible schedules and the use of collaboration tools like video conferencing and cloud-based data sharing.

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

AspectRemote ScienceRemote Data Analyst
Required CredentialsScience degrees, research experience, technical skillsStatistics, data analysis certifications, technical skills
Work EnvironmentResearch labs, academic institutions, remote research projectsBusiness, finance, tech companies, remote data analysis roles
Employer & Industry UsageUniversities, research institutes, biotech firmsCorporations, consulting firms, tech startups
Search & Comparison IntentUnderstanding research roles, scientific projectsData analysis tasks, business insights

Remote Science and Remote Data Analyst roles share a focus on technical skills and remote work environments. However, Remote Science typically involves research, scientific experiments, and academic or biotech settings, while Remote Data Analysts focus on interpreting data for business insights in corporate environments. Both roles require analytical skills but differ in industry application and specific credentials.

What is remote science?

Remote science jobs are positions in scientific fields that can be performed outside of traditional laboratory or office environments, typically from home or any location with internet access. These jobs may include roles in research, data analysis, scientific writing, consulting, or education. Advances in technology and communication tools have made it possible for scientists to collaborate, conduct experiments, and analyze data remotely. Remote science jobs offer flexibility and can help employers and employees reach a broader talent pool. Common areas include biology, chemistry, environmental science, and healthcare research.

What skills and qualifications are needed to thrive as a remote science professional?

To thrive as a Remote Science professional, you need a strong background in your scientific discipline, analytical skills, and typically a relevant degree or higher qualification. Familiarity with data analysis tools, virtual collaboration platforms, and scientific software such as Python, R, or MATLAB is important. Excellent written communication, time management, and self-motivation are standout soft skills in this remote environment. These abilities ensure effective research, collaboration, and productivity while working independently from various locations.

What are the most commonly searched types of Science jobs in Newark, DE?

The most popular types of Science jobs in Newark, DE are:

What job categories do people searching Remote Science jobs in Newark, DE look for?

The top searched job categories for Remote Science jobs in Newark, DE are:

What cities near Newark, DE are hiring for Remote Science jobs?

Cities near Newark, DE with the most Remote Science job openings:

Remote Science jobs near you
Infographic showing various Remote Science job openings in Newark, DE as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 73% Full Time, 22% Part Time, and 3% Contract. Highlights an 76% Physical, 4% Hybrid, and 20% Remote job distribution, with an average salary of $47,309 per year, or $22.7 per hour.

Senior Director of Data Science (Remote)

Forbes Advisor

Wilmington, DE • On-site, Remote

Full-time

Re-posted 9 days ago

Job description

At Forbes Advisor, our mission is to help readers turn their aspirations into reality. We arm people with trusted advice and guidance so they can make informed decisions they feel confident in and get back to doing the things they care about most.
We are an experienced team of industry experts dedicated to helping readers make smart decisions and choose the right products with ease. Forbes Advisor boasts decades of experience across dozens of geographies and teams, including Content, SEO, Business Intelligence, Finance, HR, Marketing, Production, Technology and Sales. The team brings rich industry knowledge to Forbes Advisor's global coverage of consumer credit, debt, health, home improvement, banking, investing, credit cards, small business, education, insurance, loans, real estate and travel.
Our Data & Analytics organisation builds the products, platforms and intelligence that power every marketing, product and commercial decision across the business. We're looking for a Data Science leader who believes machine learning only creates value when it changes business decisions.
This is an opportunity to build and lead a commercially driven Data Science function that delivers measurable improvements in customer acquisition, marketing performance and long-term business growth.
You'll lead a growing team of Data Scientists while partnering closely with Engineering, Analytics, Product and Commercial teams to ensure predictive models become trusted, production-ready products that drive measurable commercial outcomes. As we continue investing in first-party data, AI, machine learning and advanced marketing measurement, we're looking for an experienced Data Science leader to help shape the next phase of our commercial Data Science capability.
Responsibilties:
  • Commercial Data Science: Lead the strategy and delivery of predictive models that improve customer acquisition, marketing performance and long-term commercial value. You'll shape capabilities including lifetime value modelling, propensity modelling, customer segmentation, forecasting and value-based bidding, ensuring every model is linked to measurable business outcomes.
  • Marketing Science & Decision Science: Partner with Marketing, Product and Commercial teams to apply Data Science to real business problems. You'll help define how predictive analytics, experimentation and AI improve campaign performance, customer understanding and strategic decision making across platforms including Google and Meta.
  • Production Data Science: Work closely with Engineering and ML Ops to ensure models become reliable, production-ready products rather than one-off analyses. You'll champion reproducible experimentation, scalable deployment, model monitoring, retraining strategies and continuous improvement throughout the model lifecycle.
  • Leadership & Stakeholder Management: Lead and develop a growing team of Data Scientists while building trusted relationships across the business. You'll translate complex modelling into clear commercial recommendations, influence senior stakeholders through evidence, and help establish Data Science as a trusted driver of business strategy and commercial growth.
  • Innovation & Industry Leadership: Represent Forbes in strategic conversations with technology partners including Google and Meta while staying connected to advances in AI, machine learning and marketing science. You'll evaluate emerging technologies, bring new ideas into the organisation and help ensure our Data Science capability remains commercially relevant and technically leading.

Qualifications:
  • Experience leading commercial Data Science, Marketing Science or Decision Science teams.
  • Strong expertise in predictive analytics, customer analytics, machine learning and statistical modelling.
  • Experience applying Data Science to marketing performance, customer acquisition, lifetime value or value-based bidding.
  • Experience productionising machine learning solutions within modern cloud environments and working closely with Engineering and ML Ops teams.
  • Strong understanding of SQL, Python and modern machine learning frameworks.
  • Experience working with Google Ads, Meta or other major advertising platforms.
  • Excellent stakeholder management and communication skills, with the ability to influence both technical and commercial audiences.
  • Experience building and developing high-performing Data Science teams.
  • Strong commercial judgement, balancing technical excellence with measurable business impact.
  • A pragmatic approach to AI, applying emerging technologies where they create genuine commercial value.

Nice to Have
  • Experience within affiliate marketing, digital publishing or lead-generation businesses.
  • Experience working in financial services, insurance or regulated industries.
  • Experience working directly with Google or Meta Data Science teams.
  • Experience with attribution modelling and marketing measurement.
  • Experience building optimisation algorithms for DSPs or advertising platforms.
  • Experience with causal inference, experimentation frameworks or incrementality testing.
  • Experience forecasting marketing or commercial performance.
  • Experience with Vertex AI or equivalent cloud-based machine learning platforms.

Forbes Advisor provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
#LI-REMOTE #LI-NM1

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