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Temporary 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 ...

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:

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Temporary Data Scientist Machine Learning information

What does a temporary data scientist specializing in machine learning do?

A Temporary Data Scientist specializing in Machine Learning is responsible for designing, building, and deploying machine learning models to analyze data and generate insights, but works on a contract or short-term basis. Their duties often include data preprocessing, model selection and validation, and communicating results to stakeholders. They may also be tasked with automating processes, cleaning large datasets, and collaborating with other teams to implement solutions. The temporary nature of the job means they often focus on specific projects or provide support during peak periods.

What are the key skills and qualifications needed to thrive as a temporary data scientist specializing in machine learning?

To thrive as a Temporary Data Scientist Machine Learning, you generally need a strong background in statistics, programming (Python or R), and experience with machine learning algorithms, often supported by a degree in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn, TensorFlow, or PyTorch), and version control systems (e.g., Git) is typically required. Strong problem-solving abilities, adaptability, and effective communication are crucial soft skills for collaborating with teams and translating technical findings to stakeholders. These skills ensure that temporary data scientists can quickly contribute actionable insights, drive data-driven decisions, and add value within a limited time frame.

What are some typical projects or tasks a temporary data scientist specializing in machine learning might work on?

As a temporary Data Scientist focusing on machine learning, you can expect to work on short-term, high-impact projects such as building predictive models, cleaning and preparing data, or developing automated analytics solutions. You may be brought in to support ongoing initiatives, provide expertise for a specific project phase, or help accelerate a backlog of tasks. Collaboration is common, and you'll likely work closely with data engineers, business analysts, and domain experts to understand requirements and deliver actionable insights within tight deadlines. This role offers exposure to diverse datasets and tools, and is an excellent opportunity to rapidly expand your experience and network.

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

AspectTemporary Data Scientist Machine LearningTemporary Data Analyst
Required CredentialsBachelor's/Master's in Data Science, Computer Science, or related fields; knowledge of ML algorithmsBachelor's in Statistics, Mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentProject-based, collaborative teams, tech-focused companiesBusiness units, reporting teams, data-driven departments
Employer & Industry UsageTech firms, finance, healthcare, e-commerceRetail, marketing, finance, consulting

Temporary Data Scientist Machine Learning roles focus on developing and deploying machine learning models, requiring advanced analytics skills. Temporary Data Analysts primarily interpret data, generate reports, and support decision-making. While both roles involve data handling, Data Scientists with ML expertise work on predictive modeling, whereas Data Analysts focus on descriptive analytics. The choice depends on the project needs and skill requirements.

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 Temporary Data Scientist Machine Learning jobs in Maryland?

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

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

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

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

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

Temporary Data Scientist Machine Learning jobs near you
Infographic showing various Temporary Data Scientist Machine Learning job openings in Maryland as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Junior Data Scientist

asrcfh

Greenbelt, MD • On-site

Full-time

Posted 11 days ago

ASRC Federal rating

7.8

Company rating: 7.8 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

243rd of 450 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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