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Associate Data Scientist Deep Learning Jobs in Illinois

Staff Data Scientist

Westchester, IL · On-site

$100 - $140/hr

The Staff Data Scientist will implement scalable, machine learning-based solutions to drive growth ... Design and build supervised, unsupervised, and deep learning models to solve high-impact business ...

Experience with Apache Spark (PySpark, and Spark ML) and/or deep learning frameworks (e.g ... associates to earn additional compensation pursuant to the Company's bonus plan. Exact pay will be ...

Experience with Apache Spark (PySpark, and Spark ML) and/or deep learning frameworks (e.g ... associates to earn additional compensation pursuant to the Company's bonus plan. Exact pay will be ...

Data Scientist

Rosemont, IL · On-site

$99K - $124K/yr

Work with peers, Senior Data Scientists and Data SMEs to produce correct modeling techniques ... Learning/Deep Learning * Knowledge of frameworks such as PyTorch, TensorFlow, MLflow Caffe etc.

Design and build supervised, unsupervised, and deep learning models to solve high-impact business ... Mentor junior data scientists and analysts, and contribute to best practices across the data ...

Senior Data Scientist

Chicago, IL · On-site

$140K - $180K/yr

As a Senior Data Scientist, you will lead the design and development of advanced machine learning and AI solutions that solve complex business challenges. You'll apply a deep technical foundation in ...

Data Scientist

Lake Forest, IL · Hybrid

$87K - $145K/yr

... learning frameworks. * Conduct exploratory data analysis and apply deep business knowledge to ... Bachelor's Degree in Data Science, Statistics, Mathematics, Computer Science, or other quantitative ...

As a Data Scientist at MessageControl you'll be building intelligent products to protect people ... Build complex predictive models using Machine Learning and Deep Learning algorithms to ...

As a Data Scientist at MessageControl you'll be building intelligent products to protect people ... Build complex predictive models using Machine Learning and Deep Learning algorithms to ...

You have experience with statistical modeling, machine learning, deep learning, optimization and other data science techniques to implement end-to-end data science projects. * You understand the ...

Principal Data Scientist

Chicago, IL · On-site

$122K - $228K/yr

Uses advanced analytical algorithms and technologies (e.g. machine learning, deep learning ... Collaborates with data scientists and other stakeholders to understand data and modeling needs and ...

As a Data ScientistorSenior Data Scientist - Federal, you will work with some of the largest ... Experience with deep learning, natural language processing, computer vision, or application of ...

Showing results 21-40

Associate Data Scientist Deep Learning information

What is the difference between Associate Data Scientist Deep Learning vs Data Scientist?

AspectAssociate Data Scientist Deep LearningData Scientist
Required CredentialsBachelor's or Master's in CS, Data Science, or related; familiarity with deep learning frameworksBachelor's or Master's in CS, Statistics, or related; broader data analysis skills
Work EnvironmentFocus on developing deep learning models, often in AI or ML teamsBroader data analysis, visualization, and modeling across various projects
Employer & Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, retail, tech, and more

The main difference is that Associate Data Scientist Deep Learning specializes in developing deep learning models, requiring specific knowledge of neural networks and frameworks. Data Scientists have a broader scope, including traditional data analysis, statistical modeling, and visualization. Both roles often require similar educational backgrounds but differ in technical focus and project types.

What are the most commonly searched types of Data Scientist Deep Learning jobs in Illinois? The most popular types of Data Scientist Deep Learning jobs in Illinois are:

Staff Data Scientist

RB Global Inc.

Westchester, IL • On-site

$100 - $140/hr

Other

Posted 4 days ago


Job description

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
EEO Information

Ritchie Bros. is an equal opportunity employer and ensures nondiscrimination in all activities in accordance with all applicable laws. This position is open to all qualified applicants who are legally entitled to work in the country in which this job is located. Candidate selection is made by Talent Acquisition. Only electronic applications can be accepted.

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