Sr. Data Scientist
About The Position
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!
Requirements
- 5+ years of experience in data science or quantitative analytics, with demonstrated impact on a revenue or pricing problem
- Strong foundation in statistics — you understand when to use a linear model vs. something more complex, and you can defend that choice
- Proficiency in Python and SQL; experience with Spark / Databricks a strong plus
- Experience building and deploying ML models in a production environment
- Comfort working with messy, real-world transactional data
- Ability to work independently and drive a problem from ambiguous question to deployed solution
Nice To Haves
- Experience in equipment rental, logistics, or any asset-heavy industry
- Familiarity with pricing science, revenue management, or yield optimization
- Experience with MLflow or similar model tracking/versioning tools
Responsibilities
- Build, maintain, and improve predictive models that recommend optimal rental rates at the customer, market, and category level
- Apply statistical techniques — regression, survival analysis, elasticity modeling, Bayesian methods — to understand how rate changes affect revenue and utilization
- Analyze rate performance across markets and customer segments to identify where the business is leaving money on the table
- Design and run A/B and quasi-experimental tests to measure the revenue impact of pricing changes
- Partner with Pricing, Sales, and Finance to translate model outputs into actionable recommendations
- Develop robust feature pipelines and model monitoring to ensure pricing recommendations stay accurate over time
- Communicate findings clearly to both technical and non-technical stakeholders
Benefits
- Health, Dental and Vision plans
- 401(k) Match
- Volunteer time off
- Short-term and long-term disability
- Accident, Life and Travel insurance, as well as flexible spending
- Tuition Reimbursement Options
- Employee Assistance Program (EAP)
- Length of Service Awards
- 12-25 vacation days depending on years of service
- 5 sick days
- 6 holidays
- 2 half day holidays
- 2 floating holidays
- 1 inclusion day
- 1 volunteer day
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
