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Associate Data Scientist Deep Learning Jobs in Springfield, MO

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Utilize sensory science tools, available in the Innovation Center, to give data points to the ... Demonstrate a "never stop learning" mindset and influence others to adopt this mindset * Active ...

Senior AI Engineer

Springfield, MO · On-site

$95K - $130K/yr

Partner with Data Scientists and engineering teams to productionize AI and ML solutions into ... Deep proficiency in Python and modern AI/ML frameworks. * Experience deploying LLM/RAG systems with ...

... a deep understanding of engineering principles. * Lead the development of comprehensive ... Proficiency in learning and utilizing technical platforms such as Google suite, AutoCAD ...

... a deep understanding of engineering principles. * Lead the development of comprehensive ... Proficiency in learning and utilizing technical platforms such as Google suite, AutoCAD ...

Our team of over 500 professionals brings deep expertise and a shared commitment to delivering ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

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Associate Data Scientist Deep Learning information

See Springfield, MO salary details

$52.3K

$61.9K

$117.3K

How much do associate data scientist deep learning jobs pay per year?

As of Jun 23, 2026, the average yearly pay for associate data scientist deep learning in Springfield, MO is $61,890.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,700.00 and $54,100.00 per year, depending on experience, location, and employer.

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 Springfield, MO? The most popular types of Data Scientist Deep Learning jobs in Springfield, MO are:
Research Scientist Intern (2025)

Research Scientist Intern (2025)

Whiterabbit.ai

Springfield, MO • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

We are looking for a Research Scientist Intern to push the state of the art of our AI models. As a Research Scientist Intern at Whiterabbit.ai, you will:

  • Play a key role in architecting the algorithms and models that will power our products
  • Train on a dedicated high-performance compute cluster specialized for deep learning research
  • Work with doctors and healthcare professionals to identify serious problems and leverage their domain expertise to build robust solutions
  • Remain an active contributor to the research community by partnering with universities and publishing high impact papers

Who we are:

Our mission at Whiterabbit.ai is to save lives and eliminate suffering through the early detection of cancer with artificial intelligence. We collaborate closely with one of the top medical schools in the country and have exclusive access to one of the world’s largest cancer datasets with millions of images. We invent algorithms that make doctors more productive, more accurate, and more capable. We build products and services with a relentless focus on transforming the patient’s healthcare experience.

Responsibilities

  • Develop highly scalable classifiers and detectors that solve real-world problems
  • Learn and understand a large body of research in deep learning and machine learning
  • Participate in cutting-edge research for medical applications of computer vision

Must Have Experience

  • Experience with deep learning and convolutional networks
  • Strong theoretical and empirical research background
  • Fluency with a deep learning framework and Python

Nice to Have Experience

  • Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR
  • Large scale machine learning experience working with terabytes of data
  • Implemented custom operations/modules in a deep learning framework
  • Imagination, ambition, and curiosity