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Lp Building Products Jobs (NOW HIRING)

Hybrid Job Purpose LP Building Solutions, a large specialty building products manufacturer, is looking for a full-time data scientist to join the data analytics team. Leveraging advanced analytical ...

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Electrician

Roxboro, NC · On-site

$26.20 - $30.93/hr

Responsibilities: * Troubleshoot electrical problems, make decisions necessary to repair,and restore equipment to design specifications. * Perform electrical tests using megger, OHM meter, and other ...

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Electrician

Roxboro, NC · On-site

$29.58 - $37.48/hr

Position: Electrician Shift: 6:00 pm - 6:00 am, rotating shifts. Work 2 days; off 2 days; work 3 days; off 2 days Reports To: Electrical Supervisor Job Purpose: To perform complex predictive and ...

Electrician

Mebane, NC · On-site

$26.20 - $30.93/hr

Responsibilities: * Troubleshoot electrical problems, make decisions necessary to repair,and restore equipment to design specifications. * Perform electrical tests using megger, OHM meter, and other ...

The LP Sagola workforce has a strong commitment to safely producing the best siding product on the market. Other duties or responsibilities not listed above may be assigned as necessary. Information ...

Electrician

Sagola, MI · On-site

$23.25 - $32/hr

... with LP safety, environmental and quality guidelines. In this position you will have the ... production machines Programs and operates test equipment Installs, sets up, calibrates ...

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Lp Building Products information

See salary details

$28K

$98.1K

$148K

How much do lp building products jobs pay per year?

As of Aug 10, 2026, the average yearly pay for lp building products in the United States is $98,146.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,000.00 and $120,000.00 per year, depending on experience, location, and employer.

What is LP Building Products?

LP Building Products, now known as Louisiana-Pacific Corporation (LP), is a leading manufacturer of high-performance building materials. They specialize in engineered wood products such as oriented strand board (OSB), siding, and structural solutions for residential, commercial, and industrial construction. LP is recognized for its innovative technologies that enhance durability, sustainability, and installation efficiency. Their products are used widely in new construction, remodeling, and repair projects across North America and other parts of the world.

What types of career advancement opportunities are available at LP Building Products for entry-level employees?

At LP Building Products, entry-level employees often have access to various career advancement paths, including promotions to supervisory or specialized technical roles within manufacturing, engineering, or operations. The company supports professional growth through on-the-job training, mentorship programs, and educational assistance. Employees who demonstrate initiative and strong performance can move into leadership positions or explore cross-functional opportunities in areas like product development, sales, or supply chain management. Teamwork and a collaborative environment further facilitate skill development and career progression.

What is the difference between Lp Building Products vs Lp Building Products Installer?

AspectLp Building ProductsLp Building Products Installer
CredentialsTypically no formal certification requiredMay require specific installation certifications or training
Work EnvironmentManufacturing facilities, warehouses, or distribution centersConstruction sites, residential or commercial buildings
Employer & Industry UsageManufacturers and suppliers of building materialsContractors or installers working with Lp products
Common Search & ComparisonFocuses on product features and manufacturingFocuses on installation processes and skills

In summary, Lp Building Products refers to the manufacturing and supply of building materials, while Lp Building Products Installer specializes in the installation and application of those materials on-site. Both roles are integral to the building industry but differ in credentials, work environment, and job focus.

What are the key skills and qualifications needed to thrive as an LP Building Products sales representative, and why are they important?

To thrive as an LP Building Products Sales Representative, you need a background in sales or marketing, knowledge of building materials, and preferably a bachelor's degree in business or a related field. Familiarity with CRM systems, sales analytics tools, and product specification software is often required. Strong communication, negotiation, and relationship-building skills set top performers apart in this role. These competencies are crucial for driving sales growth, building lasting customer partnerships, and effectively representing LP Building Products in a competitive market.
More about Lp Building Products jobs
Infographic showing various Lp Building Products job openings in the United States as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution, with an average salary of $98,146 per year, or $47.2 per hour.

Full-time

Re-posted 19 hours ago


Job description

Data Scientist
Req Id: 12517
Job Location: Home Office LP, Nashville
Posting Start Date: 6/4/26
Work Environment: Hybrid
Job Description:
Job Purpose
LP Building Solutions, a large specialty building products manufacturer, is 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. This role combines advanced data science techniques with business partnership to identify opportunities, solve complex problems, and generate insights for decision support.
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. This role requires a strong blend of analytical rigor and business acumen, with the ability to work cross-functionally and influence stakeholders. 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.
In this position you will have the opportunity to:
  • Complete end-to-end data science initiatives, from business problem framing and data exploration through model development, validation, deployment partnership, and performance monitoring.
  • Work directly with internal and external customers to define success criteria, hypotheses, and measurable outcomes. Translate the business needs into analytics/reporting requirements to support executive decisions and workflows with required information.
  • Design, build, and evaluate predictive, prescriptive, and statistical models that improve decision-making, operational efficiency, customer outcomes, or financial performance
  • Design and evaluate experiments to test hypotheses, measure impact, and guide decisions (e.g., A/B, Multivariate, simulation, scenario, Quasi, etc.)
  • Apply advanced analytical methods such as machine learning, forecasting, optimization, causal inference, and experimentation to solve high-value business problems.
  • Proactively identify trends and patterns and generates insights for business units and senior leadership
  • Work with the IT Data Engineering team to integrate data from multiple sources including CRM, ERP, Operational systems, web analytics, and third-party datasets for analysis
  • Research and implement cutting-edge techniques and tools in machine learning/artificial intelligence to make data analysis more efficient
  • Present insights and recommendations to stakeholders in a clear, business-focused manner. You will need to simplify complex methodologies into actionable business insights
  • Establish processes and tools that monitor, analyze and continuously improve model performance and data accuracy
  • Partner with the Analytics leadership team to align initiatives and strategy. Contribute to enterprise analytics roadmap and best practices.
  • Support other Analytics team members by providing technical guidance, peer review, and thought partnership.

What do I need to be successful?
  • 5+ years of progressive experience supporting marketing and sales teams in data science, advanced analytics, or a closely related field
  • Experience in the development of Machine Learning models and AI frameworks
  • Experience working with data visualization and business intelligence tools to communicate insights effectively. (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)
  • Preferred experience working with SAP (S/4 HANA, ECC, BTP, etc.)
  • Preferred experience working with Cloud platforms (AWS, Azure, or GCP)
  • Preferred experience in text analytics, image recognition, graph analysis, or other specialized ML techniques, such as deep learning
  • Preferred experience in manufacturing, building products, or construction-related industries.
  • Fluency in multiple analytical programming languages such as Python & 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 and comfortable 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 with a wide range of understanding
  • 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

Education
  • Bachelor's degree in computer science, mathematics, data science, statistics, or a related quantitative field.
  • Master's degree preferred.

Work Environment
  • This position may be remote, working in a home office environment, but Nashville, TN candidates are strongly preferred.
  • Occasional travel up to 15% of time.
  • Occasional exposure to a plant environment.

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