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Data Scientist Machine Learning Jobs in Baltimore, MD

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 ...

ASRC Federal Holding

Junior Data Scientist

Greenbelt, MD · On-site

$64K - $96K/yr

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 ...

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 ...

Sand Tech Holdings Limited

Data Scientist

Baltimore, MD · On-site

As a key contributor, the Data Scientist will be responsible for using their advanced data analysis ... The ideal candidate will have a strong background in statistics, machine learning and data analysis ...

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Data Scientist Machine Learning information

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$37.3K

$122K

$195.3K

How much do data scientist machine learning jobs pay per year?

As of Aug 28, 2026, the average yearly pay for data scientist machine learning in Baltimore, MD is $121,958.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,900.00 and $135,100.00 per year, depending on experience, location, and employer.

What is a data scientist machine learning?

A Data Scientist specializing in Machine Learning (ML) uses statistical methods, algorithms, and computational power to analyze data and create predictive models. They work with large datasets to identify patterns, train machine learning models, and improve decision-making processes. Responsibilities often include data cleaning, feature engineering, model selection, and performance evaluation. They may collaborate with engineers and business teams to deploy models in real-world applications. Strong skills in programming (Python, R), ML frameworks (TensorFlow, Scikit-learn), and data visualization are essential.

What are the typical day-to-day responsibilities of a data scientist machine learning?

On a typical day, a Data Scientist specializing in Machine Learning might gather and preprocess data, design and implement machine learning models, and evaluate their performance to solve real-world problems. They often collaborate with data engineers, software developers, and business stakeholders to translate business objectives into technical solutions and integrate models into existing systems. Other responsibilities can include visualizing data insights, conducting experiments to tune algorithms, and staying current with new developments in the field. The work is highly collaborative and iterative, requiring clear communication with various teams to ensure project goals are met efficiently.

What are the key skills and qualifications needed to thrive in the data scientist machine learning position, and why are they important?

To excel as a Data Scientist Machine Learning, you need a strong proficiency in statistics, programming (typically Python or R), and a solid understanding of machine learning algorithms, usually backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as TensorFlow, scikit-learn, SQL databases, and cloud platforms, as well as certifications in data science or machine learning, is commonly expected. Analytical thinking, problem-solving skills, and effective communication are vital soft skills in this profession. These qualifications combine to drive impactful insights and enable the successful development and deployment of machine learning models in business environments.

What is the salary of data scientist in machine learning?

The salary of a data scientist specializing in machine learning typically ranges from $90,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with advanced skills in programming, statistical analysis, and tools like Python or TensorFlow may earn higher compensation.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Baltimore, MD?

The most popular types of Data Scientist Machine Learning jobs in Baltimore, MD are:

What are popular job titles related to Data Scientist Machine Learning jobs in Baltimore, MD?

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

What job categories do people searching Data Scientist Machine Learning jobs in Baltimore, MD look for?

The top searched job categories for Data Scientist Machine Learning jobs in Baltimore, MD are:

What cities near Baltimore, MD are hiring for Data Scientist Machine Learning jobs?

Cities near Baltimore, MD with the most Data Scientist Machine Learning job openings:

Data Scientist Machine Learning jobs near you
Infographic showing various Data Scientist Machine Learning job openings in Baltimore, MD as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $121,958 per year, or $58.6 per hour.

Junior Data Scientist

asrcfh

Greenbelt, MD • On-site

Full-time

Posted 7 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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