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Remote Building Science Jobs in Philadelphia, PA

Soni Resources

Data Scientist

Conshohocken, PA · On-site +1

$175K/yr

... Data Science + Data Engineering) Location: Remote (Preference for Northeast/Mid-Atlantic; monthly travel to Plymouth Meeting, PA as needed) Our client is building a data-driven culture where ...

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All JobsBuilding Science JobsRemote Building Science JobsRemote Building Science Jobs in Philadelphia, PA

Remote Building Science information

See Philadelphia, PA salary details

$24.7K

$48.8K

$79.7K

How much do remote building science jobs pay per year?

As of Jul 17, 2026, the average yearly pay for remote building science in Philadelphia, PA is $48,831.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,800.00 and $52,500.00 per year, depending on experience, location, and employer.

What is a Remote Building Science professional?

A Remote Building Science professional is an expert who analyzes and improves building performance, energy efficiency, and occupant comfort—often using digital tools and remote technologies. They may conduct virtual assessments, review building plans, model energy use, and recommend improvements, all without being physically present at the project site. Their work helps ensure buildings are safe, healthy, and environmentally sustainable, using a mix of engineering, architecture, and environmental science principles. This role is particularly important for organizations seeking to optimize buildings across multiple locations or during times when in-person site visits are challenging.

How does a Remote Building Science professional typically collaborate with on-site teams during a project?

Remote Building Science professionals often work closely with on-site teams by leveraging digital tools such as video conferencing, BIM software, and cloud-based documentation. They are responsible for analyzing building performance data, providing recommendations, and ensuring that sustainability and energy efficiency goals are met. Effective communication and regular virtual meetings are key to maintaining alignment between remote experts and field personnel. Establishing clear protocols for data sharing and feedback helps ensure smooth collaboration throughout the project lifecycle.

What is the difference between Remote Building Science vs Remote Building Envelope Specialist?

AspectRemote Building ScienceRemote Building Envelope Specialist
CredentialsBuilding science certifications, LEED, HVAC knowledgeBuilding science background, certifications in envelope systems
Work EnvironmentConsulting, research, project analysis remotely or on-siteDesign, assessment, and troubleshooting building envelopes remotely or on-site
Industry UsageBuilding consulting firms, energy efficiency projectsArchitectural firms, construction, retrofit projects
Search & ComparisonOften compared for building performance rolesCompared for envelope design and repair roles

Remote Building Science and Remote Building Envelope Specialist roles share overlapping skills in building performance and certifications. However, Building Science focuses broadly on overall building systems and energy efficiency, while Building Envelope Specialists concentrate specifically on the building's exterior and envelope systems. Both roles are vital in construction and retrofit projects, often working together to improve building performance remotely.

What are the key skills and qualifications needed to thrive as a Remote Building Science Specialist, and why are they important?

A strong foundation in building physics, energy modeling, and construction principles, often supported by a degree in engineering, architecture, or a related field, is essential for a Remote Building Science Specialist. Familiarity with technical tools such as energy simulation software (e.g., EnergyPlus, WUFI), CAD programs, and certifications like LEED or BPI is typically required. Outstanding analytical thinking, communication, and self-motivation are crucial soft skills, especially when collaborating remotely with multidisciplinary teams. These skills ensure accurate assessments, effective solutions, and successful project outcomes in the evolving field of sustainable building design and performance.
What are popular job titles related to Remote Building Science jobs in Philadelphia, PA? For Remote Building Science jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Remote Building Science jobs in Philadelphia, PA look for? The top searched job categories for Remote Building Science jobs in Philadelphia, PA are:
What cities near Philadelphia, PA are hiring for Remote Building Science jobs? Cities near Philadelphia, PA with the most Remote Building Science job openings:
Remote Building Science jobs near you

VP of Data Science (Remote)

Forbes Advisor

Wilmington, DE • On-site, Remote

Full-time

Posted 11 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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