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PRGX Global, Inc.
Artificial Intelligence Intern
Career Insights for Data Scientist
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What they do
A Data Scientist utilizes skills and experience to systematically answer questions using data to provide actionable recommendations. Commonly utilizes advanced statistical analysis and machine learning techniques. Common responsibilities also include data cleaning and data management.
$106,013 / year median in Georgia
+22% projected growth
Job Description
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GA-Atlanta Apply About PRGX Global, Inc Job Description Job Title Artificial Intelligence Intern Employment Type Temporary Work Authorization Requirements Must be authorized to work in the United States Language Requirements English AboutPRGX PRGX
is the global leader in source-to-pay data analytics and software, and tech-enabled profit recovery services. We provide software and services to maximize revenue recovery and drive margin improvement for our clients. For more information about PRGX, visit www.prgx.com. Job Duties & Responsibilities- Apply machine learning algorithms and statistical models to large datasets to identify trends, patterns, and relationships.
- Collaborate with cross-functional teams to understand business objectives and develop data-driven solutions.
- Design and implement end-to-end machine learning pipelines, from data preprocessing to model training, evaluation, and deployment.
- Stay up to date with the latest research and developments in machine learning and artificial intelligence.
- Communicate complex data insights and findings to non-technical stakeholders through visualizations and presentations.
- Other duties as assigned. Knowledge & Qualifications
- Current Master of Science of PhD student in relevant field such as Computer Science, Statistics, Mathematics, Engineering, or Data Science.
- Academic/industry experience of applying NLP, Ai techniques to solve complex data problems.
- Strong knowledge of machine learning and deep learning algorithms and statistical models, including supervised and unsupervised learning methods.
- Experience with data preprocessing, feature engineering, and data visualization techniques.
- Proficiency in Python programming, and experience working with large unstructured data.
- Excellent communication skills, with the ability to explain complex concepts to non-technical stakeholders.
- Strong problem-solving skills and attention to detail.
- Experience with agile development methodologies and version control tools such as Git.
- Experience working with natural language processing (NLP) techniques preferred.
- Familiarity with deep learning frameworks such as TensorFlow or PyTorch preferred.
- Knowledge of cloud computing platforms such as AWS, GCP, or Azure preferred.