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Fulltime Data Science Jobs in Baltimore, MD (NOW HIRING)

BOOZ, ALLEN & HAMILTON, INC.

Data Scientist, Mid

Laurel, MD · On-site

$77K - $176K/yr

On our team, you'll use your leadership skills and data science expertise to create real-world ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

BOOZ, ALLEN & HAMILTON, INC.

Data Scientist, Mid

Ashton, MD · On-site

$77K - $176K/yr

On our team, you'll use your leadership skills and data science expertise to create real-world ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

BOOZ, ALLEN & HAMILTON, INC.

Data Scientist, Mid

Bowie, MD · On-site

$77K - $176K/yr

On our team, you'll use your leadership skills and data science expertise to create real-world ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton

Data Scientist, Senior

Edgewood, MD · On-site

$99K - $225K/yr

You'll share your skills in data engineering and data science modeling to shape the future of ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton

Data Scientist, Senior

Belcamp, MD · On-site

$99K - $225K/yr

You'll share your skills in data engineering and data science modeling to shape the future of ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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Showing results 21-40

All JobsFulltime Data Science JobsFulltime Data Science Jobs in Baltimore, MD

Fulltime Data Science information

See Baltimore, MD salary details

$37.3K

$122K

$195.3K

How much do fulltime data science jobs pay per year?

As of Aug 21, 2026, the average yearly pay for fulltime data science 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 the difference between Fulltime Data Science vs Part-time Data Science?

AspectFulltime Data SciencePart-time Data Science
Work HoursTypically 35-40 hours/weekLess than 20 hours/week
Employment TypePermanent, full benefitsTemporary or flexible arrangement
CredentialsOften requires a degree in Data Science, Statistics, or related fieldsSame credentials as fulltime, but may vary based on project needs
Work EnvironmentOffice or remote, integrated with teamFlexible, often remote or freelance

Fulltime Data Science roles involve consistent, long-term employment with comprehensive benefits, requiring full credentials and offering a stable work environment. Part-time Data Science positions provide flexibility and shorter commitments, suitable for project-based work or supplementary income, with similar credential requirements but fewer benefits.

What are popular job titles related to Fulltime Data Science jobs in Baltimore, MD?

For Fulltime Data Science jobs in Baltimore, MD, the most frequently searched job titles are:

What job categories do people searching Fulltime Data Science jobs in Baltimore, MD look for?

The top searched job categories for Fulltime Data Science jobs in Baltimore, MD are:

What cities near Baltimore, MD are hiring for Fulltime Data Science jobs?

Cities near Baltimore, MD with the most Fulltime Data Science job openings:

Fulltime Data Science jobs near you

Data Scientist (All Levels)

Adaptic

Annapolis Junction, MD

Full-time

Re-posted 11 days ago

Job description

Turn Data Into Mission Impact: Join us as a Data Scientist!

At Adaptic, we don't just analyze data-we turn it into mission-critical insight. Our teams build advanced analytics, machine learning models, and data-driven solutions that support real-world operations across the DoD and Intelligence Community.

Whether you're early in your career or leading analytic efforts and shaping strategy, we're looking for Data Scientists at all levels who want to tackle complex problems, work with meaningful data, and see their work make an impact. Let us help align you to the right role based on your strengths and interests.

Your Impact

You'll work across the full data science lifecycle-exploration, modeling, validation, and operationalization-on problems that demand both technical depth and creative thinking. Day-to-day, that can look like:

  • Developing machine learning, statistical, data mining, and graph-based models to extract insight from complex datasets
  • Exploring multiple approaches and selecting models based on performance, scalability, and mission need
  • Building experiments and generating synthetic data when real-world data is limited or incomplete
  • Creating visualizations and reports that clearly communicate findings and drive decision-making
  • Translating manual or ad hoc analysis into automated, repeatable analytic solutions
  • Engineering features and preparing data for use in machine learning workflows
  • Tuning models and parameters to optimize performance across varying datasets
  • Evaluating model effectiveness using standard techniques (e.g., cross-validation, ROC curves, confusion matrices)
  • Partnering with software engineers and cloud teams to deploy analytics into production environments
  • Contributing to scalable solutions that can handle large, evolving datasets
  • Supporting or leading analytic efforts, depending on your experience level

Qualifications

  • All positions require an active TS/SCI with polygraph
  • Experience with Python, R, or similar languages used for data analysis and modeling
  • Strong foundation in statistics, machine learning, or data analysis techniques
  • Experience working with large, complex, or imperfect datasets
  • Ability to communicate technical findings clearly to both technical and non-technical audiences
  • A collaborative mindset with the ability to work independently and as part of a team
  • A degree in Data Science, Computer Science, Statistics, Mathematics, or a related field (or equivalent experience)

Nice to Have

  • Experience with cloud environments (AWS), big data tools, or distributed processing frameworks
  • Familiarity with ML pipelines, model deployment, or MLOps concepts
  • Exposure to graph analytics, NLP, or AI-driven systems
  • Experience working in mission or high-performance computing environments

Turn insight into action. Build what matters. Apply now to learn more about our extensive benefits and customizable compensation packages.

Employment Type: FULL_TIME

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