ZipRecruiter

Log In

2

Evening Remote Data Science Jobs in Delaware (NOW HIRING)

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 ...

The Chemours Company

Senior AI Engineer

Wilmington, DE · On-site +1

$101K - $139K/yr

This is a remote role and will report directly to the Head of Data Science & AI. The role willidentify,solution, build, and launch GenAI products & traditional apps in all areas of the company ...

Troutman Pepper

Senior Data Engineer

Wilmington, DE · Remote

$102K - $139K/yr

Bachelors' degree in Computer Science, Management Information Systems, or related field. * Minimum ... Prior law firm or professional services experience beneficial. #LI-Remote The Firm will comply with ...

Dutch

Virtual Care Veterinarian (Remote)

Dover, DE · Remote

$50 - $80/hr

... evening and/or weekend availability. You'll be supported by our Clinical Director, Vet Support team ... If you would like more information about how your data is processed, please contact us. apply for ...

Dutch

Virtual Care Veterinarian (Remote)

Wilmington, DE · Remote

$50 - $80/hr

... evening and/or weekend availability. You'll be supported by our Clinical Director, Vet Support team ... If you would like more information about how your data is processed, please contact us. apply for ...

Christiana Care Health Services

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 ...

Surefire Cyber

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 ...

next page

Showing results 1-20

All JobsEvening Data Science JobsEvening Remote Data Science JobsEvening Remote Data Science Jobs in Delaware

Evening Remote Data Science information

What is the difference between Evening Remote Data Science vs Evening Remote Data Analysis?

AspectEvening Remote Data ScienceEvening Remote Data Analysis
Required SkillsAdvanced statistical modeling, machine learning, programming (Python, R)Data cleaning, visualization, basic statistical analysis
Work EnvironmentRemote, flexible hours, project-basedRemote, flexible hours, task-focused
Industry UsageTech, finance, healthcare, researchBusiness, marketing, operations, finance

Evening Remote Data Science involves complex modeling and machine learning, often requiring programming skills and advanced analytics. In contrast, Evening Remote Data Analysis focuses on interpreting data, creating visualizations, and providing insights with less emphasis on coding. Both roles are remote and flexible but serve different analytical depths and industry applications.

Can data science jobs be done remotely?

Data science jobs, including evening remote data science roles, are often performed remotely as they primarily involve analyzing data, programming, and using tools like Python or R. Many companies offer remote positions to accommodate flexible schedules and leverage cloud-based collaboration platforms, making remote work a common option in the field.

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.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as 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 or tasks to optimize model performance and efficiency.

What remote jobs can I do in the evening?

Remote data science roles, including evening shifts, are available for professionals with skills in programming, statistics, and data analysis. These jobs often require familiarity with tools like Python, R, or SQL and may offer flexible schedules to accommodate evening work. Many companies provide remote data science positions that can be performed outside traditional business hours.
What are popular job titles related to Evening Remote Data Science jobs in Delaware? For Evening Remote Data Science jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Evening Remote Data Science jobs in Delaware look for? The top searched job categories for Evening Remote Data Science jobs in Delaware are:
What cities in Delaware are hiring for Evening Remote Data Science jobs? Cities in Delaware with the most Evening Remote Data Science job openings:
Evening Remote Data Science jobs near you

VP of Data Science (Remote)

Forbes Advisor

Wilmington, DE • On-site, Remote

Full-time

Posted 6 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

Apply