Staff Data Scientist

View More Jobs Staff Data Scientist Westchester, IL, United States (Hybrid) Apply Now 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. Job Description 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 Apply Now Job Info Job Identification 9618 Posting Date 04/28/2026, 03:32 PM Locations 2 Westbrook Corporate Ctr, Westchester, IL, 60154, US (Hybrid) Degree Level No Formal Education Job Schedule Full time Minimum Salary 117,830 Maximum Salary 176,750 © MapTiler © OpenStreetMap contributors Legend Jobs at a location Group of locations © MapTiler © OpenStreetMap contributors | © Oracle Corporation Terms Legal Notices Use control and scroll to zoom the map Use two fingers to move the map 2 Westbrook Corporate Ctr, Westchester, IL, 60154, US Copy to Clipboard Similar Jobs Senior Staff Software Engineer - Data Science Westchester, IL, United States (Hybrid) Posted on 04/28/2026 Be the First to Apply