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Permanent Computer Science Statistics Jobs in Georgia

Knowledge & Qualifications • Master of Science in a relevant field such as Computer Science, Statistics, Mathematics, Engineering, or Data Science. • PhD preferred. • Minimum of 1 year of ...

Knowledge & Qualifications · Master of Science in a relevant field such as Computer Science, Statistics, Mathematics, Engineering, or Data Science. · PhD preferred. · Minimum of 1 year of ...

Bachelors degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Engineering); a Masters or Ph.D. is a plus. * 5 to 10 years of experience in data science, including machine ...

Education Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related quantitative field, or combination of education and equivalent experience. Location:

Education Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related quantitative field, or combination of education and equivalent experience. Location:

Master's degree from an accredited college/university in Computer Science, Statistics, Data Science, Engineering, or related fields; PhD from an accredited college/university is preferred

Bachelor's degree in Computer Science, Statistics, Data Science, Engineering, Operations Research, or a related technical field; or equivalent professional experience * 3+ years hands-on experience ...

Master's degree from an accredited college/university in Computer Science, Statistics, Data Science, Engineering, or related fields; PhD from an accredited college/university is preferred

Bachelor's degree in Financial Engineering, Computer Science, Data Science, Statistics, Applied Mathematics, or a related quantitative field. * 0-2 years of experience, including internships, in ...

New

D. degree in Data Science, Computer Science, Statistics, Mathematics, or related quantitative field, or combination of Bachelor's degree with equivalent experience. Location : Duluth, GA #HP1 Equal ...

Guides students through interpreting computer output, checking inference conditions, analyzing two ... and connects statistics to social science research, public policy, and medical studies.

Guides students through interpreting computer output, checking inference conditions, analyzing two ... and connects statistics to social science research, public policy, and medical studies.

Guides students through interpreting computer output, checking inference conditions, analyzing two ... and connects statistics to social science research, public policy, and medical studies.

Guides students through interpreting computer output, checking inference conditions, analyzing two ... and connects statistics to social science research, public policy, and medical studies.

Guides students through interpreting computer output, checking inference conditions, analyzing two ... and connects statistics to social science research, public policy, and medical studies.

Guides students through interpreting computer output, checking inference conditions, analyzing two ... and connects statistics to social science research, public policy, and medical studies.

Guides students through interpreting computer output, checking inference conditions, analyzing two ... and connects statistics to social science research, public policy, and medical studies.

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Permanent Computer Science Statistics information

What is the difference between Permanent Computer Science Statistics vs Permanent Data Analyst?

AspectPermanent Computer Science StatisticsPermanent Data Analyst
Required CredentialsBachelor's or higher in Computer Science, Statistics, or related fields; often certifications in data analysis or programmingBachelor's in Statistics, Data Science, or related fields; certifications in data tools are common
Work EnvironmentTech companies, research institutions, or finance; focus on algorithms and statistical modelsBusiness, marketing, finance; focus on data interpretation and reporting
Employer & Industry UsageUsed in tech, finance, academia for developing models and algorithmsUsed across industries for analyzing data to inform business decisions

Permanent Computer Science Statistics professionals focus on developing algorithms and statistical models, often in tech or research settings, while Permanent Data Analysts interpret data to support business strategies across various industries. Both roles require strong analytical skills and relevant certifications, but their daily tasks and work environments differ.

What cities in Georgia are hiring for Permanent Computer Science Statistics jobs? Cities in Georgia with the most Permanent Computer Science Statistics job openings:
Data Scientist

Full-time

Posted 24 days ago


Job description

Job Title
Data Scientist
Employment Type
Full-time
Work Authorization Requirements
Authorized to work in the United States
Language Requirements
English
About PRGX
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.
• Mentor and guide interns on the team.
• Other duties as assigned.
Knowledge & Qualifications
• Master of Science in a relevant field such as Computer Science, Statistics, Mathematics, Engineering, or Data Science.
• PhD preferred.
• Minimum of 1 year of experience applying machine learning techniques to solve complex data problems.
• Strong knowledge of machine 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 big data tools such as Spark.
• 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.
Preferred Qualifications:
  • Experience working with natural language processing (NLP) techniques.
  • Familiarity with deep learning frameworks such as TensorFlow or PyTorch.
  • Knowledge of cloud computing platforms such as AWS, GCP, or Azure.

Our Commitment to Equal Opportunity
PRGX is an equal opportunity employer. We comply with all applicable local, national, and international laws regarding non-discrimination and equal employment. We do not discriminate based on any legally protected characteristic and are committed to fostering an inclusive, respectful, and equitable workplace. Reasonable accommodations are available for qualified individuals in accordance with local laws and best practices.
Physical Requirements
Ability to sit or stand for extended periods of time, manual dexterity for typing, writing, or using office equipment, visual acuity for reading screens and documents, ability to lift or carry light items such as laptops, and speech and hearing ability for calls, virtual meetings, and in-person communication
Data Privacy
Your personal data will be handled in accordance with applicable data protection laws. We only collect information necessary for recruitment and will not share your data without your consent.
Skills & Requirements Qualifications