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Senior Data Scientist Machine Learning Jobs in Baltimore, MD

The Josef Group

Senior Data Scientist

Columbia, MD · On-site

Senior Data Scientist Columbia, MD TS/SCI CI Poly $200K to $250K Required Qualifications: * U.S ... Familiarity with machine learning concepts and AI-driven data solutions * Strong communication ...

Parsons Corporation

Senior Data Scientist

Aberdeen, MD · On-site

The Senior Data Scientist will focus on software coding, data interoperability, cloud technology ... Develop and apply statistical, machine learning, and optimization techniques to extract insight ...

Parsons

Senior Data Scientist

Aberdeen, MD

The Senior Data Scientist will focus on software coding, data interoperability, cloud technology ... Develop and apply statistical, machine learning, and optimization techniques to extract insight ...

Booz Allen Hamilton

Senior Data Scientist

Edgewood, MD · On-site

$99K - $225K/yr

R0241997 Data Scientist, Senior The Opportunity: As a data scientist, you're excited at the ... You Have: * 4+ years of experience with data science, machine learning, data engineering, or data ...

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All JobsData Scientist Machine Learning JobsSenior Data Scientist Machine Learning JobsSenior Data Scientist Machine Learning Jobs in Baltimore, MD

Senior Data Scientist Machine Learning information

See Baltimore, MD salary details

$41.2K

$141.6K

$199.7K

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

As of Aug 7, 2026, the average yearly pay for senior data scientist machine learning in Baltimore, MD is $141,554.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,700.00 and $165,400.00 per year, depending on experience, location, and employer.

How does a senior data scientist specializing in machine learning typically collaborate with cross-functional teams?

Senior Data Scientists in Machine Learning often work closely with product managers, software engineers, and business analysts to understand project goals and translate them into actionable data solutions. They are responsible for communicating complex technical concepts to non-technical stakeholders, ensuring that ML models align with business objectives. Collaboration frequently involves participating in regular strategy meetings, reviewing data pipelines with engineering teams, and providing insights that guide product development. This cross-disciplinary teamwork is essential for successfully deploying machine learning models into production environments.

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

To thrive as a Senior Data Scientist in Machine Learning, you need advanced expertise in statistics, programming (Python or R), and machine learning algorithms, typically backed by a relevant degree (such as in computer science or mathematics) and several years of experience. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and cloud platforms (AWS, GCP, or Azure), as well as experience with big data technologies, is essential. Strong problem-solving, communication, and project leadership skills help drive impactful solutions and foster collaboration across teams. These skills ensure the successful design, deployment, and scaling of machine learning models that deliver business value.

What is the difference between Senior Data Scientist Machine Learning vs Data Scientist?

AspectSenior Data Scientist Machine LearningData Scientist
Required CredentialsMaster's or PhD in CS, Statistics, or related field; experience with ML frameworksBachelor's or Master's in relevant field; foundational knowledge of data analysis
Work EnvironmentAdvanced analytics teams, R&D, product developmentData analysis teams, business intelligence, reporting
Employer & Industry UsageTech companies, finance, healthcare, e-commerceSimilar industries, often entry to mid-level roles

The main difference is that Senior Data Scientist Machine Learning roles require more experience, advanced skills in ML frameworks, and often involve leading projects. Data Scientists typically focus on data analysis and reporting with less emphasis on complex ML models. Senior roles also tend to involve mentorship and strategic input.

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

A Senior Data Scientist in Machine Learning leads the development, implementation, and optimization of advanced statistical and machine learning models to solve business problems. They analyze large, complex datasets, design predictive algorithms, and collaborate with cross-functional teams to integrate models into production systems. Additionally, they mentor junior data scientists, contribute to setting technical strategy, and often communicate findings to stakeholders to drive data-driven decision-making.
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 cities near Baltimore, MD are hiring for Senior Data Scientist Machine Learning jobs? Cities near Baltimore, MD with the most Senior Data Scientist Machine Learning job openings:
Senior Data Scientist Machine Learning jobs near you

Senior Data Scientist

Ascension Federal Services Inc.

Fort George G Meade, MD • On-site

Full-time

Re-posted 11 days ago

Job description

Senior Data ScientistLocation: Fort Meade, MD, 20701
CLEARANCE: TS/SCI W/ FULL SCOPE POLYGRAPH (Will sponsor if active TS or above)
Job Description:

We are seeking a highly skilled Senior Data Scientist to join our team in Fort Meade, MD. The ideal candidate will have a strong background in data analysis, machine learning, and statistical modeling. The Senior Data Scientist will be responsible for developing and implementing data-driven solutions to complex business problems.

Responsibilities:
  • Lead the design and implementation of data science projects
  • Develop predictive models and algorithms to drive business decisions
  • Analyze large datasets to uncover insights and trends
  • Collaborate with cross-functional teams to identify opportunities for data-driven solutions
  • Communicate findings and recommendations to stakeholders
Requirements:
  • Bachelor's or Master's or Ph.D. in Computer Science, Statistics, Mathematics, or related field
  • 10+ years of experience in data science or related field
  • Proficiency in programming languages such as Python, R, or Java
  • Data visualization tools (e.g., Power BI, Tableau)
  • Experience with machine learning, statistical analysis, and data mining techniques.
  • Developing AI/ML tools for operational use
  • Experience with machine learning techniques and algorithms
  • Strong analytical and problem-solving skills
  • Excellent communication and presentation abilities

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