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Entry Level Data Visualization Engineer Jobs in Saint Louis, MO

Boeing

Entry-Level Manufacturing Engineer

Berkeley, MO · On-site

Entry-Level Manufacturing Engineer Company: The Boeing Company Boeing Test & Evaluation (BT&E) is ... Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related ...

Esri

Software Development Engineer I

Saint Louis, MO · On-site

$75K - $129K/yr

As a developer on our team, you will build software leveraging Esri's products and APIs for ... Web data visualization techniques combining AI results with 2D and 3D maps * GIS * REST Web ...

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Entry Level Data Visualization Engineer information

See Saint Louis, MO salary details

$43.3K

$126.1K

$172.6K

How much do entry level data visualization engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for entry level data visualization engineer in Saint Louis, MO is $126,114.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,300.00 and $133,700.00 per year, depending on experience, location, and employer.
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Entry Level Data Visualization Engineer jobs near you

Data Scientist

Intellect Solutions LLC

Scott Air Force Base, IL • On-site

Full-time

Re-posted 15 days ago

Job description

Job Description

Intellect Solutions LLC, an Economically Disadvantaged Woman Owned Small Business (EDWOSB) and Hub Zone Certified Firm is seeking a Data Scientist to drive mission analytics and visualization initiatives used in the USTRANSCOM change and knowledge management processes. As an Intellect Solutions Data Scientist, you will have the opportunity to research, experiment and conduct data modeling, data management and data analytics while utilizing machine-learning models, workflows and tools. You will also lead or assist is developing and implementing systems engineering, process and technology solutions that allow rapid association of broadly sourced data sets in a graphically interactive user-space to facilitate information sharing and decision-making. The ideal candidate must be passionate about solving problems, discovering insights, and support decisions using data.

Required Skills 

  • U.S. Citizenship, required Active Secret Clearance. 
  • Must be a lifelong learner, willing to share and grow the knowledge of those around them.
  • Strong qualitative and quantitative analysis skills.
  • Provide technology, activity, and scale agnostic solutions to establish and operationalize insights-driven decision-making at the command level and align outputs to command operational requirements through web-based systems.
  • Conduct data modeling and management to assemble data structures and lineage
  • Develop analytic models and tools using a variety of commercial-off-the-shelf and open source capabilities like Jupyter or Zeppelin notebooks and exposed application programing interfaces, as well as business intelligence, and visualization tools such as Tableau, Qlik, and COGNOS
  • Research, develop, and apply statistical and machine learning model workflows and tools such as Argo and Kubeflow Pipelines to build, train, and test new machine learning models, such as ModelDB to carry out model tuning, data and model provenance, and storing trained models
  • Deploy, monitor, and update models in production, and languages and frameworks such as Python, R, Julia, Scala, and several legacy deep-learning libraries such as Theao, Caffe2, and Torch
  • Assist the command with cloud implementations, including assessment, application rationalization, data migration and management, and machine learning and artificial intelligence analytics in a cloud environment
  • Recommend improvements to associated workflows as defined by the customer
  • Create user space that is primarily enabled by automatically accumulated, compiled, processed, and correlated information of value
  • Design and create user experience for an intuitive output consisting of 'fewest clicks to an answer' while iteratively creating capacity for 'minimum viable capability' with extensibility as a core tenant
  • Connect data sources across an organization, align datasets to a unified schema, consolidate a unified dataset through entity de-duplication and mastering when necessary, and classify records into a taxonomy for downstream analysis

  Required Experience

  • BS/BA in related degree such as Data Analytics, Operations Research, Economics, Engineering, Mathematics, etc. (Other education, commensurate experience and demonstrated ability of individual may be substituted)
  • Minimum of 2-3 years professional work experience providing data analytics services.
Additional Information

All your information will be kept confidential according to EEO guidelines.

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