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Senior Data Scientist Machine Learning Jobs in Baltimore, MD

Senior Data Scientist

Columbia, MD ยท On-site

$146K/yr

... a Senior Data Scientist to support mission-critical programs at Fort Meade. This role is ideal for ... Support AI and machine learning initiatives by developing robust data infrastructure and ...

Senior Data Scientist

Edgewood, MD ยท 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 ...

Senior Data Scientist

Columbia, MD ยท On-site

$146K/yr

... a Senior Data Scientist to support mission-critical programs at Fort Meade. This role is ideal for ... Support AI and machine learning initiatives by developing robust data infrastructure and ...

Senior Data Scientist

Columbia, MD ยท On-site

$146K/yr

... a Senior Data Scientist to support mission-critical programs at Fort Meade. This role is ideal for ... Support AI and machine learning initiatives by developing robust data infrastructure and ...

Senior Data Scientist

Fort George G Meade, MD ยท On-site

$135K - $216K/yr

We're seeking a Data Scientist to join USCYBERCOM J2 at Fort Meade, MD, building the AI tools, ML ... Apply expertise in large data Multi-INT analytics , machine learning, and automated predictive ...

Senior Data Scientist

Fort George G Meade, MD ยท On-site

$135K - $216K/yr

We're seeking a Data Scientist to join USCYBERCOM J2 at Fort Meade, MD, building the AI tools, ML ... Apply expertise in large data Multi-INT analytics , machine learning, and automated predictive ...

We're seeking a Data Scientist to join USCYBERCOM J2 at Fort Meade, MD, building the AI tools, ML ... Apply expertise in large data Multi-INT analytics , machine learning, and automated predictive ...

Senior Data Scientist Component: DIS Rate $65/hr on c2c || 13+ yrs || Leodis SSA||F2F interview ... general machine learning and clustering Familiarity with code reviews, version control, and ...

New

Data Scientist - Mid

Fort George G Meade, MD ยท On-site

$112K - $179K/yr

In this role, you'll work alongside senior data scientists and intelligence analysts to build and refine data pipelines, develop visualizations, and apply machine learning techniques to real national ...

Data Scientist - Mid

Fort George G Meade, MD ยท On-site

$112K - $179K/yr

In this role, you'll work alongside senior data scientists and intelligence analysts to build and refine data pipelines, develop visualizations, and apply machine learning techniques to real national ...

Data Scientist - Mid

Fort George G Meade, MD ยท On-site

$112K - $179K/yr

In this role, you'll work alongside senior data scientists and intelligence analysts to build and refine data pipelines, develop visualizations, and apply machine learning techniques to real national ...

Data Scientist, Senior

Edgewood, MD ยท On-site

$99 - $225/hr

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

Showing results 21-40

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 21, 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.

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 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.

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 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 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:

Sr. Data Scientist (Python)

Power3 Solutions

Fort George G Meade, MD โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 9 days ago


Job description

We solve difficult business, IT, and analytic problems by addressing the whole problem - not just the symptoms - using interdisciplinary approaches that are both practical and innovative. We provide fresh alternatives to ordinary, mainstream consulting firms through small, highly skilled, and hand-picked teams that can meet clients' needs in any industry. Our broad interdisciplinary understanding allows us to provide the right solution, even if it is from outside the industry or traditionally defined problem space. We bring Public and Private, Civilian and Military expertise to every case.
We are hiring a Sr. Data Scientist to work in Fort Meade, MD. Position location is subject to change based on central MD client's needs - will provide salary range proactively.
Required: TS/SCI with a Polygraph
Employ some combination (2 or more) of the following skill areas:
  1. Foundations: Mathematical, Computational, Statistical
  2. Data Processing: Data management and curation, data description and visualization, workflow and reproducibility
  3. Modeling, Inference, and Prediction: Data modeling and assessment, domain-specific considerations

Devise strategies for extracting meaning and value from large datasets. Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in NSA/CSS data holdings. Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. Effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly-shifting NSA/CSS collection, processing, storage and analytic capabilities and limitations.
Individual Capabilities/Experience Required:
  • A Bachelor's degree and 10 years of relevant experience. An Associate's degree plus 12 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position.
  • Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field (e.g., Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, social, and life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 300 level or higher; such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g., algorithms, programming, data structures, data mining, artificial intelligence). College-level Algebra or other math courses designated as elementary or basic do not count.
  • Note: A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university.
  • Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g. Python) and skill in at least one mid-level language (e.g. C)), data mining, advanced statistical analysis (e.g. statistical foundations of machine learning, statistical approaches to missing data, time series), advanced mathematical foundations (e.g. numerical methods, graph theory), artificial intelligence, workflow and reproducibility, data management and curation, data modeling and assessment (e.g. model selection, evaluation, and sensitivity analysis), experience as a data scientist working to support a single or multiple domain areas, and/or software engineering. Experience in more than three areas is strongly preferred.

We have all the PERKS!
You are our most valuable resource - your ambition, your knowledge, your creativity. We offer an industry-leading set of benefits to supplement your normal salary compensation. We have you covered with flexible ways to balance work and home life, full health benefit premium coverage, and generous contributions toward your retirement.
  • Competitive health, dental, and vision plans with 100% paid premiums.
  • 401k: We contribute 6% even if you don't!
  • Time Off: 11 standard holidays, and 25 days of PTO
  • Career Development: Get career counseling and individualized career development plans, including education and training.
  • Employee referral bonuses for successful hires

We are an Equal Opportunity/Affirmative Action employer.
We provide equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Power3 Solutions
Partnering with federal, state, and local organizations to bring the best talent to the right roles.
https://power3.com/
Talent@power3.com
https://www.linkedin.com/company/power3-solutions