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Internship Data Classification Jobs (NOW HIRING)

Ceribell, Inc

Data Scientist

Sunnyvale, CA · On-site

... classification algorithms that will take the field of EEG neurodiagnostics to the next level. What ... Mentor and guide junior data scientists and interns, fostering their growth by providing technical ...

Cypress HCM

Data Science Engineer

Austin, TX · Hybrid

$65 - $69.72/hr

... classification. * Work closely with Cyber Fraud Investigations and Data Engineering teams to ... This role is not suitable for entry-level candidates or interns. Compensation: * $65.00 to $69.72 ...

The Mortgage Office

AI Engineer

San Mateo, CA · On-site

$160K - $180K/yr

What you'll do * Use LLMs and RAG techniques for accurate data classification. Apply rules and ... Academic projects, internships, or part-time work during degree programs will not be considered as ...

Conversica, Inc

Data Scientist

Seattle, WA · On-site

... interns in the areas of natural language processing, natural language generation, and deep learning ... Your scope will reach from text classification problems over big data analytics to A/B testing and ...

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Internship Data Classification information

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How much do internship data classification jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for internship data classification in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What is the difference between Internship Data Classification vs Data Analyst?

AspectInternship Data ClassificationData Analyst
Required CredentialsTypically pursuing or recent graduate, some knowledge of data conceptsBachelor's degree in data-related field, some roles require certifications
Work EnvironmentInternship setting, entry-level tasks, supervisedFull-time, professional environment, independent analysis
Employer & Industry UsageInternship programs in tech, finance, healthcareAcross industries, including tech, finance, marketing
Search & Comparison IntentLearning about entry-level data roles, internshipsUnderstanding data analysis careers, job requirements

Internship Data Classification is an entry-level, supervised role focused on learning data categorization tasks during an internship. In contrast, a Data Analyst is a full-time professional responsible for analyzing data to inform business decisions. While both roles involve working with data, internships are designed for skill development, whereas data analysts perform independent, ongoing analysis in a professional setting.

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What are the most commonly searched types of Data Classification jobs? The most popular types of Data Classification jobs are:
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Internship Data Classification jobs near you
Data Scientist

Data Scientist

Ceribell, Inc

Sunnyvale, CA • On-site

Other

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

Job description

Position Overview: 

We are looking for a talented data scientist/algorithm engineer who is passionate about biomedical applications and has a strong background in machine learning, pattern recognition, signal processing and time-series analysis. The successful candidate will join the data science team and will be responsible for design and development of new state-of-the-art classification algorithms that will take the field of EEG neurodiagnostics to the next level.

What you'll do:

  • Use time-series analysis, statistical signal processing and machine learning techniques to design classification algorithms for various neurological indications
  • Analyze data for trends and patterns, and interpret data with a clear objective in mind
  • Collaborate with business and clinical stakeholders to define project needs and communicate results of the models/analytical solutions designed
  • Select and implement appropriate evaluation metrics to assess the performance of algorithms and models, considering both technical accuracy and clinical relevance.
  • Document and validate models and perform statistical analysis to comply with regulatory requirements for medical device algorithms
  • Mentor and guide junior data scientists and interns, fostering their growth by providing technical direction, feedback, and support
  • Manage multiple projects independently, effectively prioritizing tasks and aligning deliverables with key milestones to ensure timely and successful outcomes
  • Stay updated with the latest advancements in machine learning and neurodiagnostics to ensure the algorithms are state-of-the-art

What We're Looking For: 

  • PhD in Electrical Engineering, Computer Science, Statistics, or equivalent disciplines
  • 7+ years of relevant research and/or industry experience in signal processing, filtering, statistical data analysis, time-series analysis, pattern recognition, feature engineering, machine learning and algorithm development
  • Proficient in Python and/or Matlab and/or R or similar programming languages
  • Experience and interest in biological signal processing and algorithm development for biomedical applications
  • Strong analytical skills, detail-oriented and collaborative
  • Experience with large-scale datasets, including preprocessing, cleaning, and handling noisy or imbalanced data in a biomedical context
  • Proven ability to work independently, define scope and and manage complex technical projects from concept to deployment
  • Experience with advanced machine learning techniques, such as deep learning architectures (e.g., CNNs, RNNs) and their application to time-series data
  • Strong preference for experience in neurodiagnostics or EEG data processing and algorithm development

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