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Temporary Machine Learning R Jobs in Illinois (NOW HIRING)

Meharry Medical College

Postdoctoral Fellow

Campus, IL

$47K - $64K/yr

Solid computing background or data experience, e.g., supercomputing and machine learning; * Good programming skills in at least one programming language (e.g., Python, R, etc). * A good understanding ...

UNAVAILABLE

Associate Director, Data Science

Chicago, IL · On-site

$112 - $161/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Strong understanding of statistical modeling, machine learning, predictive analytics, experimental ... Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan ...

New

Socket.dev

Associate Director, Data Science

Chicago, IL · On-site

$112 - $161/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Strong understanding of statistical modeling, machine learning, predictive analytics, experimental ... Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan ...

New

Vizient

Lead Data Scientist

Chicago, IL

In this role, you willdevelop and deploy advanced analytics, machine learning, generative AI, and ... Expertise in programming languages such as Python, R, SQL, SAS, or similar analytical tools.

Socket.dev

Senior Data Scientist

Chicago, IL · On-site

$89 - $127/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Applying quantitative techniques, including statistical and machine learning, to uncover latent ... Hands‑on experience using Python or R, SQL, and distributed computing systems such as Hadoop or ...

UNAVAILABLE

Senior Data Scientist

Chicago, IL · On-site

$89 - $127/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Applying quantitative techniques, including statistical and machine learning, to uncover latent ... Hands‑on experience using Python or R, SQL, and distributed computing systems such as Hadoop or ...

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All JobsMachine Learning R JobsTemporary Machine Learning R JobsTemporary Machine Learning R Jobs in Illinois

Temporary Machine Learning R information

What is the difference between Temporary Machine Learning R vs Data Analyst?

AspectTemporary Machine Learning RData Analyst
Required SkillsProficiency in R, machine learning algorithms, statistical modelingData visualization, SQL, basic statistical analysis
Work EnvironmentProject-based, technical teams, research-focusedBusiness units, reporting, data cleaning
CertificationsR programming, data science certificationsNone specific, often business or analytics certifications

Temporary Machine Learning R roles focus on developing predictive models using R and machine learning techniques, often in research or technical environments. Data Analysts typically handle data cleaning, visualization, and reporting for business insights. While both roles require analytical skills, Temporary Machine Learning R positions demand specialized knowledge in machine learning and R programming, making them more technical and research-oriented.

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Temporary Machine Learning R jobs near you

Data Scientist

Intellect Solutions LLC

Scott Air Force Base, IL • On-site

Full-time

Re-posted 22 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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