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Intern Data Scientist Machine Learning Jobs in Maryland

asrcfh

Junior Data Scientist

Greenbelt, MD · On-site

We are seeking a Data Scientist / Machine Learning to provide junior-level support a NASA contract in Greenbelt, MD. Responsibilities : Position Overview: Seeking a Data Scientist or Machine Learning ...

Nordic

Key Responsibilities The Senior Data Scientist applies strong expertise in machine learning, data science, and other artificial intelligence techniques to design, prototype and build next generation ...

Nordic

Key Responsibilities The Senior Data Scientist applies strong expertise in machine learning, data science, and other artificial intelligence techniques to design, prototype and build next generation ...

MANTECH

Data Scientist

Fort George G Meade, MD · On-site

MANTECH seeks a motivated, career and customer-oriented Data Scientist in Fort Meade, MD , to drive ... machine learning into mission operations. Responsibilities include but are not limited to:

MANTECH

Data Scientist

Fort George G Meade, MD · On-site

MANTECH seeks a motivated, career and customer-oriented Data Scientist in Fort Meade, MD , to drive ... machine learning into mission operations. Responsibilities include but are not limited to:

MANTECH

Data Scientist

Fort George G Meade, MD · On-site

MANTECH seeks a motivated, career and customer-oriented Data Scientist in Fort Meade, MD , to drive ... machine learning into mission operations. Responsibilities include but are not limited to:

iNovex Information Systems

Data Scientist 3

Annapolis, MD · On-site

$157K - $215K/yr

Job Brief Data Science, Machine Learning Are you VIGILANT about your career? RealmOne definitely is! RealmOne was built on the principle that people matter first and foremost. We believe in providing ...

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Intern Data Scientist Machine Learning information

What does an intern data scientist machine learning do?

An Intern Data Scientist in Machine Learning assists in analyzing large datasets, building predictive models, and extracting insights to support business decisions. They often work under the guidance of experienced data scientists to clean data, implement machine learning algorithms, and evaluate model performance. Their responsibilities may also include data visualization and reporting findings to team members. This role provides hands-on experience with real-world data science problems and tools, helping interns develop essential technical and analytical skills.

What types of projects and responsibilities can an intern data scientist machine learning expect to work on?

As an Intern Data Scientist focused on Machine Learning, you will often assist in tasks such as data cleaning, feature engineering, and developing or testing machine learning models under the supervision of senior team members. You may also be involved in exploratory data analysis and help interpret model results to provide actionable insights. Interns typically collaborate closely with data engineers, analysts, and software developers, gaining exposure to end-to-end machine learning pipelines. This hands-on experience provides valuable learning opportunities and helps build the foundational skills needed for future roles in data science.

What are the key skills and qualifications needed to thrive as an intern data scientist machine learning, and why are they important?

To thrive as an Intern Data Scientist (Machine Learning), you need a solid understanding of statistics, programming skills (typically in Python or R), and foundational knowledge of machine learning algorithms, often supported by coursework or relevant projects. Familiarity with tools like scikit-learn, TensorFlow, Jupyter notebooks, and version control systems (e.g., Git) is commonly expected. Strong analytical thinking, curiosity, and effective communication skills help you interpret data insights and work collaboratively within a team. These abilities are crucial for translating data into actionable solutions and contributing to impactful machine learning projects.

What is the difference between Intern Data Scientist Machine Learning vs Intern Data Analyst?

AspectIntern Data Scientist Machine LearningIntern Data Analyst
Required SkillsBasic programming, statistics, machine learning conceptsData analysis, Excel, SQL, visualization tools
Work EnvironmentResearch-focused, model development, algorithm testingData cleaning, reporting, dashboard creation
Common Industry UsageTech, finance, healthcareRetail, marketing, finance

Intern Data Scientist Machine Learning roles focus on developing and testing machine learning models, requiring knowledge of algorithms and programming. Intern Data Analyst positions emphasize data cleaning, analysis, and visualization. Both roles are entry-level but differ in technical depth and project focus, catering to different career paths within data-driven industries.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Maryland?

The most popular types of Data Scientist Machine Learning jobs in Maryland are:

What are popular job titles related to Intern Data Scientist Machine Learning jobs in Maryland?

For Intern Data Scientist Machine Learning jobs in Maryland, the most frequently searched job titles are:

What job categories do people searching Intern Data Scientist Machine Learning jobs in Maryland look for?

The top searched job categories for Intern Data Scientist Machine Learning jobs in Maryland are:

What cities in Maryland are hiring for Intern Data Scientist Machine Learning jobs?

Cities in Maryland with the most Intern Data Scientist Machine Learning job openings:

Intern Data Scientist Machine Learning jobs near you

Junior Data Scientist

asrcfh

Greenbelt, MD • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

ASRC Federal rating

7.8

Company rating: 7.8 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

242nd of 452 rated engineering

Job description

ASRC Federal AFSS is a premier provider of systems engineering, software engineering, system integration and project management services for real-time, mission-critical defense systems. We are seeking a Data Scientist / Machine Learning to provide junior-level support a NASA contract in Greenbelt, MD.

Responsibilities:

Position Overview:
Seeking a Data Scientist or Machine Learning with proven experience in developing advanced machine learning models, statistical analysis, and multimodal data systems for large, complex datasets. The ideal candidate will have a strong background in Python-based modeling, deep learning, computer vision, and natural language processing, with demonstrated success in both academic and research environments, including NASA projects.

Key Responsibilities:

  • Develop, implement, and optimize machine learning and deep learning models for scientific and real-world applications, including vision-language systems and multimodal architectures.
  • Construct and manage large-scale datasets (e.g., image-text pairs) for model training and evaluation.
  • Design and execute multi-stage inference pipelines, evaluation frameworks, and fine-tuning strategies to improve model reliability and accuracy.
  • Apply statistical modeling and time series forecasting techniques (e.g., SARIMA, LSTM) to predict trends in domains such as sustainable aviation fuels and green hydrogen.
  • Analyze complex datasets using regression, NLP, and quantitative methods to extract actionable insights for policy and research.
  • Collaborate with cross-functional teams, including NASA scientists and academic researchers, to disseminate findings through publications and presentations.
  • Author technical documentation and present diagnostics and results at conferences and symposiums.
  • Teach and mentor students in data analytics and computer science, developing supplementary materials and project-based modules.
  • Additional duties as assigned.

 

Required Qualifications:

  • Bachelor’s degree in Data Science, Statistics, or related discipline.
  • Strong programming skills: Python, R, SQL, MATLAB, SAS, HTML/CSS; experience with PyTorch, TensorFlow, Linux, Git.
  • Expertise in machine learning, deep learning, time series forecasting, statistical modeling, computer vision, NLP, and multimodal learning.
  • Experience with data preprocessing, feature engineering, data visualization, and quantitative analysis.
  • Demonstrated ability to build scalable data pipelines and process large, unstructured datasets.
  • Excellent communication skills, with experience presenting technical findings to diverse audiences.
  • Individual must meet government NAC and citizenship/permanent residency requirements for access to NASA GSFC. Extensive background investigation will be performed as a requirement of the job. Some travel may be required.

Preferred Experience:

  • Research experience in academic or government settings (e.g., NASA).
  • Experience developing vision-language models and multimodal neural network architectures.
  • Prior teaching or mentoring experience in computer science or data analytics.
  • Publications or presentations at scientific conferences.

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