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Remote Building Science Jobs in Tennessee (NOW HIRING)

Staffing Agency Recruitment

Data Scientist

Franklin, TN · Remote

$125K - $150K/yr

Location: Remote (Nashville, TN strongly preferred) Job-Type: Full-Time Role Overview: We are ... Requirements Requirements: * 5+ years of progressive experience in data science, advanced analytics ...

AtkinsRéalis

Senior I&C Engineer Energy - Remote

Oak Ridge, TN · On-site +1

$99K - $137K/yr

We are a growing business, building on the foundation of our US government fuel cycle business, our ... About you * BS or MS degree in Chemical, Electrical, or Mechanical Engineering, or other science ...

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Remote Building Science information

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 Tennessee? For Remote Building Science jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Remote Building Science jobs in Tennessee look for? The top searched job categories for Remote Building Science jobs in Tennessee are:
What cities in Tennessee are hiring for Remote Building Science jobs? Cities in Tennessee with the most Remote Building Science job openings:
Remote Building Science jobs near you

Data Scientist

Staffing Agency Recruitment

Franklin, TN • Remote

$125K - $150K/yr

Full-time

Posted 8 days ago

Be an early applicant

Job description

This is a remote position.

Location: Remote (Nashville, TN strongly preferred)
Job-Type: Full-Time
Role Overview:
We are looking for a full-time Data Scientist to join the Data Analytics team. Leveraging advanced analytical techniques, statistical modeling, and/or machine learning, you will partner with the business to uncover opportunities, optimize performance, and drive data-informed outcomes.

This role will partner closely with marketing, sales, operations, supply chain, corporate, and finance teams to identify opportunities, develop predictive and prescriptive models, and deliver actionable insights that improve revenue growth, operational efficiency, and margin performance. The ideal candidate combines strong technical expertise in statistical modeling and advanced analytics with the ability to translate complex data into clear, business-relevant insights for marketing and sales teams.

This individual will work with large, complex datasets spanning manufacturing, distribution, pricing, and customer behavior. While this role does not require hands-on data engineering responsibilities, it demands close collaboration with the Data Engineering team. Candidates should have a solid understanding of core data engineering concepts to effectively partner, translate business needs, and ensure alignment across data workflows and infrastructure.



Requirements

Requirements:

  • 5+ years of progressive experience in data science, advanced analytics, or a closely related field, with a strong preference supporting marketing or commercial teams
  • Experience in the development of machine learning models and AI frameworks
  • Experience working with data visualization and business intelligence tools (e.g., Tableau, Power BI, or similar tools)
  • Experience working with enterprise data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery)
  • Experience working with data from large enterprise applications (e.g., ERP, CRM or operational systems)
  • Fluency in Python and SQL (required); R (optional)
  • Demonstrated experience developing and validating statistical models, machine learning algorithms, and advanced analytical solutions using large, complex datasets
  • Strong competency in statistical & quantitative methods (e.g., hypothesis testing, regression, probability theory, experimental design, etc.)
  • Demonstrated experience with experimentation and causal analysis
  • Demonstrated experience with experimental design, model evaluation, and performance measurement
  • Strong understanding of data pipelines, ETL processes, and data architecture
  • Proven success in supervised and unsupervised learning (e.g., regression, classification, clustering)
  • Strong understanding of AI, its potential roles in solving business problems, and the future trajectory of generative AI models
  • Excellent presentation, communication, and stakeholder management skills, with the ability to explain technical concepts in business terms to a diverse audience
  • Highly self-motivated with proven ability to operate autonomously, managing multiple priorities in a fast-paced environment
  • Willingness and ability to learn new technologies on the job with a continuous learning and innovation mindset
  • Bachelor’s degree in computer science, mathematics, data science, statistics, or a related quantitative field (Master’s degree preferred)
  • Occasional travel up to 15% of time
  • Occasional exposure to a plant environment

Preferred Qualifications:

  • Experience working with SAP (S/4 HANA, ECC, BTP, etc.)
  • Experience working with cloud platforms (AWS, Azure, or GCP)
  • Experience in text analytics, image recognition, graph analysis, or other specialized ML techniques (e.g., deep learning)
  • Experience in manufacturing, building products, or construction-related industries