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Building Science Jobs in Austin, TX (NOW HIRING)

TDIndustries

Sr Superintendent

Austin, TX · On-site

Minimum Requirements Bachelor's Degree in Construction Science, Building Science, Construction Management, or a related field is preferred. Must hold the necessary licenses and/or certifications ...

Moontower

Production Manager

Austin, TX · On-site

$90K - $100K/yr

Strong residential construction and building-science knowledge * Comfortable communicating directly with homeowners regarding schedules, budgets, expectations, and project challenges * Strong ...

LERCH BATES

Elevator Consultant

Austin, TX · On-site

Today we provide Total Building Performance expertise that integrates Building Science and Building Flow into a unified delivery model. Our work spans design, construction, investigation, repair ...

Moontower

Production Manager

Austin, TX · On-site

$90 - $110/hr

Strong residential construction and building-science knowledge * Comfortable communicating directly with homeowners regarding schedules, budgets, expectations, and project challenges * Strong ...

LERCH BATES

Elevator Consultant

Austin, TX · On-site

Today we provide Total Building Performance expertise that integrates Building Science and Building Flow into a unified delivery model. Our work spans design, construction, investigation, repair ...

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Building Science information

See Austin, TX salary details

$27.7K

$97.3K

$146.7K

How much do building science jobs pay per year?

As of Aug 22, 2026, the average yearly pay for building science in Austin, TX is $97,260.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,300.00 and $118,900.00 per year, depending on experience, location, and employer.

What is a building science?

A Building Science job involves applying principles of physics, engineering, and environmental science to design, construct, and maintain energy-efficient and sustainable buildings. Professionals in this field analyze building performance, focusing on factors like energy efficiency, moisture control, indoor air quality, and material durability. They often work with architects, engineers, and construction teams to optimize building systems and ensure compliance with industry codes and standards. These roles can be found in consulting firms, government agencies, research institutions, and construction companies.

What are the key skills and qualifications needed to thrive in building science, and why are they important?

To succeed in Building Science, a strong background in architecture, engineering, or environmental science, along with knowledge of building systems and energy modeling, is essential. Familiarity with tools like EnergyPlus, PHPP, and building information modeling (BIM) software, as well as relevant certifications such as LEED or Building Performance Institute credentials, are highly valued. Strong analytical thinking, problem-solving, and clear communication skills help professionals excel in multidisciplinary teams and client-facing projects. Mastery of these abilities is crucial for optimizing building performance, sustainability, and meeting regulatory standards.

What are the most common challenges faced by professionals in building science roles?

Building Science professionals often encounter challenges such as balancing energy efficiency goals with budget constraints, staying current with evolving building codes, and effectively integrating new technologies into existing structures. Collaboration with architects, engineers, contractors, and clients is also essential to ensure that recommendations align with project objectives and stakeholder expectations. Managing detailed simulations and thorough performance assessments can be demanding but are critical for successful project outcomes. These challenges provide opportunities to innovate and deliver high-impact, sustainable solutions in the built environment.

What to do with a building science degree?

A building science degree prepares individuals for careers in designing, analyzing, and improving building performance, including energy efficiency, indoor air quality, and sustainability. Graduates can work as building scientists, energy consultants, building inspectors, or in construction management, often utilizing skills in data analysis, building systems, and relevant certifications. Job opportunities are available in consulting firms, government agencies, and private industry focused on building performance and environmental impact.

What are the most commonly searched types of Building Science jobs in Austin, TX?

The most popular types of Building Science jobs in Austin, TX are:

What are popular job titles related to Building Science jobs in Austin, TX?

For Building Science jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Building Science jobs in Austin, TX look for?

The top searched job categories for Building Science jobs in Austin, TX are:

What cities near Austin, TX are hiring for Building Science jobs?

Cities near Austin, TX with the most Building Science job openings:

Building Science jobs near you
Infographic showing various Building Science job openings in Austin, TX as of August 2026, with employment types broken down into 73% Full Time, 16% Part Time, and 11% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $97,260 per year, or $46.8 per hour.

Staff Data Scientist- Pricing Science

CSC Generation

Austin, TX • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 17 days ago

Job description

CSC Generation is the AI-native holding company re-engineering omnichannel retail. We acquire iconic brands and transform them with Genesis, our operating platform combining a Data Fabric, Automation Engine, proprietary tools, and shared services to modernize operations, elevate customer experience, and expand margins. With $1B+ in revenue across 13 brands, our portfolio includes Sur La Table, Backcountry, One Kings Lane, and others that serve as real-world innovation labs.
Reports to: Director of Finance and Business Intelligence
Location: Remote - US or Canada
About the Role
As our Staff Data Scientist, you will design and ship production pricing systems such as demand forecasting, price elasticity modeling, dynamic pricing and the experimentation infrastructure needed to measure whether they actually work.
This is a hard, high-stakes problem: your models will directly influence margin and revenue decisions across a portfolio of brands operating at scale. You will own the full arc from framing ambiguous business problems as well-defined ML tasks through to monitoring models that hold up in production.
At six months, success looks like at least one pricing model shipped to production with measurable business impact and an experimentation framework in place that your stakeholders trust. If you have spent time building pricing systems from the ground up, not just consuming them, and you care deeply about rigorous causal inference and honest model evaluation, this role was written for you.
What You'll Do
  • Design and build production ML systems for pricing, demand forecasting, and related revenue problems
  • Frame ambiguous business problems as well-defined ML tasks with clear success criteria and measurable outcomes
  • Set the standard for model evaluation, validation, and monitoring - including knowing when CV metrics are misleading and when holdout testing is the only honest answer
  • Build robust predictive models across classification, regression, time series, and causal inference
  • Identify and prevent data leakage, overfitting, and other failure modes before they reach production
  • Design and analyze experiments to measure causal impact of pricing decisions
  • Debug models that fail in production - understand why they fail, not just that they do
  • Translate model limitations, uncertainty, and risk clearly to both technical and non-technical stakeholders
  • Partner with product, engineering, and business teams to ensure ML solutions solve real problems

Required Qualifications
  • 7+ years of applied ML / data science experience with a track record of production systems that delivered measurable business impact.
  • Deep experience in pricing, demand forecasting, or revenue optimization - you have built these models end-to-end, not just consumed them.
  • Expert-level Python and SQL.
  • Deep understanding of ML fundamentals beyond API-level usage, including model evaluation, validation, and failure mode diagnosis.
  • Strong grounding in causal inference and experimental design, including the ability to distinguish correlation from causal result.
  • Ability to work with messy, real-world data and make pragmatic tradeoffs under ambiguity.
  • Familiarity with cloud ML platforms (GCP/Vertex AI or AWS/SageMaker).
  • MS or PhD in Statistics, Computer Science, Operations Research, or a related quantitative field.

Preferred Qualifications
  • Experience in e-commerce, retail, marketplace, or pricing-intensive industries such as airlines, ride-sharing, or fintech.

Why Join
The people who do best here are builders. They take ownership, move fast, and want to see the direct impact of their work.
  • Portfolio-Level Impact: Your models will influence pricing and margin decisions across a $1B+ portfolio of brands - the output of your work is visible at the executive level from day one.
  • AI-First Skill Building: Get hands-on with production ML infrastructure, causal inference at scale, and the Genesis platform - building a modern, applied ML skill set on real retail data problems.
  • Ownership: You will own the full problem from framing through production, with the autonomy to make technical decisions and the stakeholder access to see them through.
  • Competitive Benefits (CAN): Comprehensive benefits including paid time off, RRSP match, group benefits, and employee discounts across portfolio brands.
  • Competitive Benefits (US): Comprehensive benefits including paid time off, 401(k) match, medical, dental, vision, supplemental coverage, and employee discounts across portfolio brands.

Interview Process
  1. Recruiter Screen: 30-minute call to cover your background, the role, and logistics.
  2. Hiring Manager Interview: Conversation with the Director of Finance and Business Intelligence focused on your pricing science experience, approach to ambiguous ML problems, and how you've driven production impact.
  3. Technical / Case Discussion: Deep dive into a pricing or demand forecasting problem - expect questions on model evaluation, causal inference, and production failure modes. Cross-functional stakeholders may join.
  4. Executive Interview: Final conversation with senior leadership.
  5. Reference Checks: Conducted in parallel with the final stages where possible.
  6. Offer: We move quickly for the right candidate.

For US-based candidates, this posting is intended for candidates that reside in the following states:
AZ, DE, FL, GA, IN, LA, MI, MS, MO, NV, NC, OK, PA, TN, TX, UT, WV, WI, and WY.
For Ontario applicants, please note that this posting is for an existing vacancy.
The CSC Generation family of brands 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, provincial, state or local laws.
The CSC Generation family of brands is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or accommodation due to a disability, please contact [email protected].
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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About CSC Generation

Sourced by ZipRecruiter

CSC Generation is a multi-brand technology platform based in Merrillville, IN, United States. The organization operates in the retail sector and utilizes technology to save retail companies from going into bankruptcy, while also offering consumers the ability to lease their purchases. Founded by serial entrepreneur, Justin Yoshimura, CSC Generation has leveraged its proprietary technology and customer database to quickly revitalize distressed retail brands. The company's mission revolves around the concepts of reinvention and innovation as it aims to redefine traditional retail and direct-to-consumer models in today's digital age. Notably, the company has, to date, acquired several brands such as DirectBuy, Killion, and most notably, Z Gallerie, growing fast within the e-commerce sector.

Company size

501 - 1,000 Employees

Headquarters location

Merrillville, IN, US

Year founded

2016

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