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Remote Data Science Ngo Jobs in Delaware (NOW HIRING)

Dlapiper

Data Scientist

Wilmington, DE · On-site +1

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

SSP International Inc.

Science Educator

Wilmington, DE · On-site +1

$61K - $68K/yr

Remote, United States Travel required: Approximately 30-40 days/year Salary: $61,500 -$68,000 ... Familiarity with program evaluation or data-informed instructional improvement. Competencies

Morson Talent

AI Adoption Specialist

Wilmington, DE · On-site +1

$35 - $45/hr

... data science, analytics, automation, or AI. Eligibility Requirements The preferred work location for this role is at the GEH Headquarters in Wilmington, NC; but highly qualified (US based) remote ...

AstraZeneca

Clinical Research Associate

Wilmington, DE · On-site +1

Plan and conduct remote and onsite monitoring visits per the Monitoring Plan; perform source data ... Bachelor's degree in related discipline, preferably in life science, and ensures successful conduct ...

Siemens

$18 - $50/hr

Pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial * Comfortable working in a fully remote environment within the United States of America. * Intelligence ...

Siemens

$18 - $50/hr

Pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial * Comfortable working in a fully remote environment within the United States of America. * Intelligence ...

Siemens

$18 - $50/hr

Pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial * Comfortable working in a fully remote environment within the United States of America. * Intelligence ...

Siemens

$18 - $50/hr

Pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial * Comfortable working in a fully remote environment within the United States of America. * Intelligence ...

Siemens

$18 - $50/hr

Pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial * Comfortable working in a fully remote environment within the United States of America. * Intelligence ...

Siemens

$18 - $50/hr

Pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial * Comfortable working in a fully remote environment within the United States of America. * Intelligence ...

Siemens

$18 - $50/hr

Pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial * Comfortable working in a fully remote environment within the United States of America. * Intelligence ...

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All JobsData Science Ngo JobsRemote Data Science Ngo JobsRemote Data Science Ngo Jobs in Delaware

Remote Data Science Ngo information

What is a remote data scientist at an NGO?

Remote data science jobs at NGOs involve using statistical analysis, machine learning, and data visualization to support the organization’s mission from any location. Data scientists in these roles analyze large datasets to inform decision-making, measure impact, and optimize programs. Tasks may include building data dashboards, developing predictive models, and communicating insights to non-technical stakeholders. Working remotely allows professionals to contribute to global causes without being tied to a specific office, making these roles flexible and accessible.

What skills and qualifications are needed to thrive as a remote data scientist at an NGO?

To thrive as a Remote Data Scientist at an NGO, you need strong analytical skills, proficiency in statistics, and a degree in data science, computer science, or a related field. Familiarity with tools like Python, R, SQL, and data visualization platforms, along with experience in cloud-based collaboration or project management systems, is typically required. Excellent communication, problem-solving, and self-motivation are vital soft skills for conveying insights and working independently within dispersed teams. These skills ensure the effective analysis and presentation of data to drive evidence-based decisions that further the NGO's mission.

What are common challenges faced by data scientists working remotely for NGOs, and how can they be addressed?

Remote data scientists in NGOs often face challenges such as limited access to high-quality data, coordinating with geographically dispersed teams, and aligning technical solutions with organizational goals. Clear communication and regular virtual meetings can help bridge collaboration gaps, while utilizing secure cloud-based data storage ensures access to necessary datasets. Additionally, understanding the NGO's mission and maintaining flexibility in problem-solving can help data scientists deliver impactful insights despite resource constraints.

What are popular job titles related to Remote Data Science Ngo jobs in Delaware?

For Remote Data Science Ngo jobs in Delaware, the most frequently searched job titles are:

What job categories do people searching Remote Data Science Ngo jobs in Delaware look for?

The top searched job categories for Remote Data Science Ngo jobs in Delaware are:

What cities in Delaware are hiring for Remote Data Science Ngo jobs?

Cities in Delaware with the most Remote Data Science Ngo job openings:

Remote Data Science Ngo jobs near you
Infographic showing various Remote Data Science Ngo 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.

Senior Director of Data Science (Remote)

Wilmington, DE • On-site, Remote

Forbes Advisor
See more jobs at Forbes Advisorexternal

Full-time

Re-posted 7 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.
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