Sr. Data Scientist

Sunbelt Rentals; Fort Mill (SC); On-site; USD 130,000 - 179,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

401(k) Match

Paid time off

Disability insurance

Life insurance

Tuition reimbursement

Job summary

Sunbelt Rentals is seeking a senior data scientist to build and maintain predictive models that optimize rental rates across customer segments and markets. You will apply advanced statistical methods and collaborate with Pricing, Sales and Finance to translate insights into action.

The role requires 5+ years of experience, strong Python and SQL, and proven ability to deploy models in production. Familiarity with Spark/Databricks and MLflow is a plus; comfort with messy data and independent

Qualifications

• 5+ years of data science or quantitative analytics with impact on pricing or revenue.
• Strong foundation in statistics; justify model choice.
• Proficiency in Python and SQL; Spark/Databricks a plus.
• Experience building and deploying ML models in production.
• Ability to work independently from problem to deployed solution.

Responsibilities

• Build, maintain and improve predictive models for optimal rental rates.
• Apply regression, survival analysis, elasticity, Bayesian methods.
• Analyze rate performance across markets and segments.
• Design A/B tests to measure pricing impact.
• Communicate findings to technical and non-technical stakeholders.

Skills

Data science

Statistics

Python

SQL

Independent work

Pricing optimization

Model deployment

Communication

Tools

Spark / Databricks

MLflow

Job description

Join Our Team!Sunbelt Rentals strives to be the customer's first choice in the equipment rental industry. From pumps to scaffolding to general construction tools, we aim to be the only call needed to outfit a job site with the proper equipment. Not only do we offer a vast fleet that ranks among the best in the industry, we pair it all with a friendly and knowledgeable staff. Our employees are our greatest asset, and although we present a comprehensive equipment offering, our expertise and service are what truly distinguish us from the competition.We pride ourselves on investing in our workforce and offer competitive benefits, as well as extensive on-the-job training for all eligible employees.As a highly successful national company, we are constantly looking for talented individuals to support our growth. If you are interested in pursuing a rewarding career, we invite you to review our opportunities!Job Description SummaryWhat You'll DoBuild, maintain, and improve predictive models that recommend optimal rental rates at the customer, market, and category levelApply statistical techniques — regression, survival analysis, elasticity modeling, Bayesian methods — to understand how rate changes affect revenue and utilizationAnalyze rate performance across markets and customer segments to identify where the business is leaving money on the tableDesign and run A/B and quasi-experimental tests to measure the revenue impact of pricing changesPartner with Pricing, Sales, and Finance to translate model outputs into actionable recommendationsDevelop robust feature pipelines and model monitoring to ensure pricing recommendations stay accurate over timeCommunicate findings clearly to both technical and non-technical stakeholdersWhat You'll Bring5+ years of experience in data science or quantitative analytics, with demonstrated impact on a revenue or pricing problemStrong foundation in statistics — you understand when to use a linear model vs. something more complex, and you can defend that choiceProficiency in Python and SQL; experience with Spark / Databricks a strong plusExperience building and deploying ML models in a production environmentComfort working with messy, real-world transactional dataAbility to work independently and drive a problem from ambiguous question to deployed solutionNice to HaveExperience in equipment rental, logistics, or any asset-heavy industryFamiliarity with pricing science, revenue management, or yield optimizationExperience with MLflow or similar model tracking/versioning toolsPhysical Demands:Must be able to bend, squat, crouch and/or reach and lift up to 25 pounds or more, as required by the job. Some Sunbelt jobs may require driving for long periods of time, loading and unloading heavy equipment, performing work in extreme weather conditions including rain, wind or excessive temperatures and/or night and weekend work. All duties must be performed according to Sunbelt’s safety policies and guidelines. Reasonable accommodations may be made to comply with ADA/ADAAA.The above description covers the principal duties and responsibilities of the job. The description shall not, however, be construed as a complete listing of all miscellaneous, incidental or similar duties which may be required from day to day.Sunbelt Rentals is an Equal Opportunity Employer — Minority/Female/Disabled/Veteran and any other protected groundBase Pay Range: $130,315.00 - 179,183.40Starting rate of pay may vary based on factors including, but not limited to, position offered, location, education, training, and/or experience. Please visit https://www.sunbeltrentals.com/careers/ for more information on our benefits and to join our Talent Network.Sunbelt also provides a comprehensive benefits package to its full-time employees. This package includes:Health, Dental and Vision plans401(k) MatchVolunteer time offShort-term and long-term disabilityAccident, Life and Travel insurance, as well as flexible spendingTuition Reimbursement OptionsEmployee Assistance Program (EAP)Length of Service AwardsYou will become eligible for benefits on the first of the month following 30 days from your start date. Sunbelt offers team members the following paid time off from work, subject to Sunbelt’s policies (unless specified in a collective bargaining agreement):12-25 vacation days depending on years of service5 sick days6 holidays2 half day holidays2 floating holidays1 inclusion day1 volunteer dayGear up for an exciting career!Sunbelt Rentals supports service members. Veterans encouraged to apply.