The Lead Data Scientist will play a key role in advancing the analytics and data science capacity of the organization. She/he will hire and manage a team of data scientists who deliver scalable machine learning and advanced analytics solutions across the organization. The new hire will need to work closely with IT, executive, and product teams to integrate these into enterprise-scale solutions. The Lead will work with business stakeholders to ideate and prioritize team initiatives while communicating the methods and impact of the methods.
Responsibilities- Leverage a deep knowledge of data science, data engineering and statistics best practices to ensure that the most applicable solutions are developed.
- Complete advanced analysis of the company’s customer and business data, data.
- Nurture solutions through the whole chain (problem, ideation, data sourcing, experimentation, development, deployment, monitoring).
- Manage and mentor data scientists with in-depth technical oversight to foster their development and a positive, learning team environment while ensuring all work meets the expected level of quality and performance.
- Team management and oversight
- Model Development, deployment and evaluation
- Meeting with and advising stakeholders
- Solving operational challenges with business units which are depended upon
- Sourcing, cleaning and understanding data in collaboration with the data management group
- Perform other duties as assigned
- 10 years of demonstrated business impact through the conception, delivery, and scaling of machine learning and other analytic approaches, including machine learning and big data.
- 2+ years managing and mentoring other data scientists and analysts
- 2 years of consulting or leadership experience as a data scientist
- Excellent verbal and written skills in English
- Exceptional attention to detail
- Experience working on an Agile development team
Skills Required
- 10 years of demonstrated business impact delivering and scaling machine learning and analytics solutions, including big data
- 2+ years managing and mentoring data scientists and analysts
- 2 years of consulting or leadership experience as a data scientist
- Excellent verbal and written English communication skills
- Exceptional attention to detail
- Experience working on an Agile development team
RB Global Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about RB Global and has not been reviewed or approved by RB Global.
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Retirement Support — Retirement plans with employer matching are highlighted in multiple postings, supporting long‑term savings for U.S. employees. Plan details are positioned as a core component of the total package and are frequently called out alongside other key benefits.
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Equity Value & Accessibility — An Employee Stock Purchase Plan is emphasized, including accessible design features such as cashless participation and look‑back/discount mechanics. Participation is portrayed as broad and a meaningful part of total rewards across regions.
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Leave & Time Off Breadth — Paid time off and company holidays are consistently described as part of the standard offering. Time away benefits are frequently praised as a strength that enhances overall compensation value.
RB Global Insights
What We Do
RB Global, Inc. (NYSE: RBA) (TSX: RBA) is a leading, omnichannel marketplace and trusted provider of value-added insights, services and transaction solutions for buyers and sellers of commercial assets and vehicles worldwide. Through its global network of auction sites and digital platform, RB Global serves customers worldwide across a variety of asset classes, including automotive, construction, commercial transportation, government surplus, lifting and material handling, energy, mining and agriculture. The company’s end-to-end marketplace solutions include Ritchie Bros., IAA, Rouse Services, SmartEquip and VeriTread. For more information about RB Global, visit rbglobal.com.
