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Data Science Engineer Intern Jobs in Long Beach, CA

1 point system

Data Science Engineer

Century City, CA · On-site

Minimum 3 years working in a Data Science role * Bachelor's degree in a relevant field such Mathematics, Science, Engineering, Computer Science, or Business * Master's Degree in relevant discipline ...

Voxelcloud

Data Engineer Intern

Los Angeles, CA

$123K - $148K/yr

Reporting to Data Team Lead, the Data Engineer intern will participate in the acquisition and ... MS, BA/BS degree in computer science, statistics or related field. Additional Information We Offer.

Voxelcloud

Data Engineer Intern

Los Angeles, CA · On-site

$123K - $148K/yr

Reporting to Data Team Lead, the Data Engineer intern will participate in the acquisition and ... MS, BA/BS degree in computer science, statistics or related field. Additional Information We Offer.

Centerfield

Software Engineer Intern

Los Angeles, CA · Hybrid

As a Software Engineering intern at Centerfield, you'll work directly with our Engineering team ... These APIs will fuel our data engineering and science teams, enabling them to derive valuable ...

CookUnity

Director, Data Science/ML

Los Angeles, CA

Partner closely with Product, Growth, Engineering, and UX leadership to influence product roadmap ... Act as a thought leader on emerging data science techniques (personalization, recommendation ...

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All JobsData Science Engineer Intern JobsData Science Engineer Intern Jobs in Long Beach, CA

Data Science Engineer Intern information

See Long Beach, CA salary details

$14

$26

$40

How much do data science engineer intern jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for data science engineer intern in Long Beach, CA is $26.73, according to ZipRecruiter salary data. Most workers in this role earn between $21.73 and $30.34 per hour, depending on experience, location, and employer.

What is the difference between Data Science Engineer Intern vs Data Analyst Intern?

AspectData Science Engineer InternData Analyst Intern
Required SkillsProgramming (Python, SQL), machine learning, data modelingData visualization, statistical analysis, Excel skills
Work EnvironmentCollaborates with data engineering and data science teams on model developmentFocuses on data reporting and insights for business decisions
Industry UsageTech, finance, healthcare, where data science projects are commonRetail, marketing, finance, emphasizing data reporting

The Data Science Engineer Intern role involves building and deploying machine learning models, requiring programming and data modeling skills. In contrast, the Data Analyst Intern focuses on analyzing data and creating reports for business insights. Both roles are entry-level internships but serve different functions within data teams.

Can I get an internship in data science?

Yes, internships in data science are available for students and entry-level candidates. These internships typically require knowledge of programming languages like Python or R, data analysis skills, and familiarity with tools such as SQL and machine learning frameworks. They often provide hands-on experience in data manipulation, modeling, and visualization within a professional environment.
Data Science Engineer Intern jobs near you

Data Science Engineer

1 point system

Century City, CA • On-site

Contractor

Re-posted 17 days ago

Job description

Must take a coderbyte test.
Must have excellent communication
 
Job Description:
Summary
The Data Scientist is a member of a highly motivated Tech team responsible for accelerating the creation of opportunity through the strategic use of data. Incorporating the latest developments in Data Science (Generative, statistical modeling, machine learning, and advanced visualization) to solve complex business problems, they collaborate within a forward-thinking team to drive operational efficiency and shape innovative solutions for critical use cases.
 
The work they are doing is a data conversion project where one team is building a new financial application and needs to migrate financial data from multiple legacy source systems into the new platform. The work is developing Python scripts for data extraction, transformation, and validation, performing end-to-end testing, reconciling data accuracy, and managing the cutover process to ensure a smooth transition to the new system. The conversion is from Dynamics AX to SAP
 
Responsibilities
Development of Data Science Solutions:

  • Test and prototype innovative algorithms leveraging technologies such as Generative AI, NLP, and Machine Learning models
  • Partner with engineering teams to develop technology infrastructure
  • Build and refine models to maintain optimal performance and relevance

Collaboration and Communication

  • Work closely with cross-functional team to align data science initiatives with business priorities
  • Partner with leadership to identify and prioritize high-impact opportunities for data science applications
  • Present insights and recommendations through clear visualizations tailored for audiences across different roles and expertise levels

Data Wrangling:

  • Identify data sources that can be useful to answer business questions
  • Perform experiments on ingested data to evaluate quality and integrity
  • Build data pipelines for ongoing data extraction

Data Exploration and Visualization:

  • Use advanced visualization techniques to present data insights in a compelling way
  • Apply advanced analytics to create metrics and KPIs that summarize insights from data

Data Analysis:

  • Apply advanced statistical methods for classification and prediction, including machine learning methods
  • Document processes and analysis, using reproducible methods and scripts
  • Provide advice to the business on strengths and limitations of statistical results, to avoid misuse

 
Required Capabilities

  • Minimum 3 years working in a Data Science role
  • Bachelor’s degree in a relevant field such Mathematics, Science, Engineering, Computer Science, or Business
  • Master’s Degree in relevant discipline preferred
  • Hands-on experience with Generative AI models, including fine-tuning, deployment, and evaluation
  • Proficiency in using Python, R, or similar mathematical programming languages for advanced predictive modeling and visualization. Python expertise preferred
  • Proficiency in using SQL and modern Database management
  • Experience with Spark or similar distributed computing platforms
  • Experience with Deep Learning methods and applications (Keras, Torch, TensorFlow) preferred
  • Experience with Natural Language Processing methods and applications preferred
  • Experience successfully implementing analytical solutions with real-world business impact
  • Excellent analytical and problem-solving skills
  • Demonstrated initiative and ownership of tasks and projects
  • Ability to prioritize, coordinate, and complete tasks to meet deadlines
  • Ability to work effectively both independently and in team environments
  • Ability to present complex problems in simple terms