Staff Data Scientist

Posted Yesterday
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Westchester, IL, USA
Hybrid
Senior level
Automotive • eCommerce • Transportation • Energy • Agriculture • Industrial
The Role
Lead end-to-end data science projects, build supervised/unsupervised/deep learning models and AI agentic/LLM-powered applications, design experiments, feature engineering, productionize and monitor models, partner with engineering teams, and mentor junior data scientists.
Summary Generated by Built In

About the Role

The Staff Data Scientist will play a key role in advancing IAA’s Machine Learning (ML) and advanced analytics initiatives. This role involves building supervised and unsupervised ML models, as well as developing AI agentic applications, with a strong business orientation and a track record of delivering data-driven services. The Staff Data Scientist will implement scalable, machine learning-based solutions to drive growth and operational efficiency across the organization.

Working closely with cross-functional teams within the IAA ecosystem, the Staff Data Scientist will help integrate these solutions into enterprise-scale services. This role requires deep knowledge of data best practices to ensure the most appropriate data sources are leveraged to answer business questions and perform advanced analysis of customer behavior, vehicle listings, and other business data.

Responsibilities

  • Lead end-to-end data science projects, from problem framing and data exploration through model development, deployment, and monitoring
  • Design and build supervised, unsupervised, and deep learning models to solve high-impact business problems
  • Develop AI agentic applications and LLM-powered solutions to automate workflows and unlock new capabilities
  • Design and analyze experiments (A/B tests, causal inference) to measure model and product impact
  • Perform feature engineering, data validation, and quality assurance across large, complex datasets
  • Partner with data engineering and ML platform teams to productionize models and ensure scalability, reliability, and monitoring
  • Translate ambiguous business questions into well-scoped data science problems and communicate findings to technical and non-technical stakeholders
  • Mentor junior data scientists and analysts, and contribute to best practices across the data science team

Required Qualifications

  • 5–7 years of experience building and deploying production machine learning models, including supervised, unsupervised, and deep learning approaches
  • Advanced proficiency in Python and SQL, with deep experience in ML libraries such as scikit-learn, PyTorch or TensorFlow, pandas, and NumPy
  • Hands-on experience building AI agentic applications using LangChain, LangGraph, or similar frameworks, including integration with LLMs and external tools/APIs
  • Hands-on experience with the full ML lifecycle: feature engineering, model training, hyperparameter tuning, evaluation, deployment, and monitoring
  • Strong foundation in statistics, experimental design (A/B testing), and core ML algorithms (gradient boosting, neural networks, clustering, dimensionality reduction)
  • Experience working with large-scale datasets using distributed computing frameworks (Spark, Dask) and cloud platforms (AWS, Azure, or GCP)
  • Proven ability to translate ambiguous business problems into technical solutions and communicate results to both technical and non-technical stakeholders
  • Experience mentoring junior data scientists in an Agile environment

Preferred Qualifications

  • Hands-on experience with Natural Language Processing (NLP) and/or computer vision applications
  • Familiarity with Large Language Models (LLMs), prompt engineering, and Generative AI techniques
  • Experience with MLOps practices and CI/CD pipelines for machine learning workflows
  • Contributions to open-source projects
About Us

IAA Holdings, LLC (IAA)

IAA Holdings, LLC (IAA), a Ritchie Bros. Auctioneers company (NYSE: RBA) and (TSX: RBA), is a trusted global marketplace for insights, services, and transaction solutions for commercial assets and vehicles. Leveraging leading-edge technology and focusing on innovation, IAA’s unique platform facilitates the marketing and sale of total-loss, damaged and low-value vehicles. IAA serves a global buyer base – located throughout over 170 countries – and a full spectrum of sellers, including insurers, dealerships, fleet lease and rental car companies, and charitable organizations. Buyers have access to multiple digital bidding and buying channels, innovative vehicle merchandising, and efficient evaluation services, enhancing the overall purchasing experience. IAA offers sellers a comprehensive suite of services aimed at maximizing vehicle value, reducing administrative costs, shortening selling cycle time and delivering the highest economic returns.


RB Global full-time employees are offered medical, dental, vision, and basic life insurances. Employees are able to enroll in our company’s 401k plan and RB Global will match 100% for the first 4% contributed.  Employees will also receive 15 days of PTO each year.


Skills Required

  • 5-7 years building and deploying production machine learning models
  • Advanced proficiency in Python
  • Advanced proficiency in SQL
  • Deep experience with scikit-learn, PyTorch or TensorFlow, pandas, and NumPy
  • Hands-on experience building AI agentic applications using LangChain, LangGraph, or similar frameworks and integrating LLMs and external tools/APIs
  • Hands-on experience across full ML lifecycle: feature engineering, model training, hyperparameter tuning, evaluation, deployment, and monitoring
  • Strong foundation in statistics, experimental design (A/B testing), and core ML algorithms (gradient boosting, neural networks, clustering, dimensionality reduction)
  • Experience with large-scale datasets using distributed computing frameworks (Spark, Dask)
  • Experience with cloud platforms (AWS, Azure, or GCP)
  • Proven ability to translate ambiguous business problems into technical solutions and communicate results to technical and non-technical stakeholders
  • Experience mentoring junior data scientists in an Agile environment
  • Hands-on experience with NLP and/or computer vision applications
  • Familiarity with Large Language Models, prompt engineering, and Generative AI techniques
  • Experience with MLOps practices and CI/CD pipelines for machine learning workflows
  • Contributions to open-source projects

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.

  • 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.
  • 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.
  • 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

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The Company
HQ: Westchester, IL
445 Employees
Year Founded: 1958

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.

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