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Data Scientist Machine Learning Jobs in Baltimore, MD

Phase2 Technology

Data Scientist, Senior

Belcamp, MD · On-site

$99 - $225/hr

You Have * 4+ years of experience with data science, machine learning, data engineering, or data analytics * 1+ years of experience using Palantir Foundry for application development * Experience ...

New

Phase2 Technology

Data Scientist, Senior

Edgewood, MD · On-site

$99 - $225/hr

You Have * 4+ years of experience with data science, machine learning, data engineering, or data analytics * 1+ years of experience using Palantir Foundry for application development * Experience ...

New

Themis Insight

Data Scientist

Fort George G Meade, MD · On-site

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 ...

Themis Insight

Data Scientist

Fort George G Meade, MD · On-site

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 ...

Themis Insight

Data Scientist

Fort George G Meade, MD · On-site

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 ...

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Showing results 21-40

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

Data Scientist Machine Learning information

See Baltimore, MD salary details

$37.3K

$122K

$195.3K

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

As of Aug 8, 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 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 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 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, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $121,958 per year, or $58.6 per hour.

Senior Data Scientist - GenAI/NLP

Tiger Analytics, LLC

Maryland City, MD • On-site

$140 - $190/hr

Other

Posted 28 days ago

Job description

Tiger Analytics is looking for experienced Senior Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

We are seeking a highly skilled and experienced Senior Data Scientist, you will have the opportunity to work on cutting-edge projects, collaborate with cross-functional teams, and drive business value through advanced analytics.

The candidate will have deep expertise in Generative AI, Large Language Models (LLMs), NLP, Retrieval-Augmented Generation (RAG), and Agentic AI. This role requires strong theoretical understanding of modern AI architectures combined with hands-on experience building production-ready GenAI solutions for enterprise clients.

Responsibilities
  • Design and develop enterprise-grade Generative AI applications using state-of-the-art Large Language Models.
  • Architect scalable Retrieval-Augmented Generation (RAG) systems for enterprise knowledge retrieval.
  • Develop AI assistants, copilots, chatbots, document intelligence solutions, and autonomous AI agents.
  • Build domain-specific NLP solutions for document processing, search, summarization, classification, information extraction, and question answering.
  • Work extensively with open-source and commercial LLMs including GPT, Llama, Mistral, Qwen, Claude, Gemini, DeepSeek, and similar foundation models.
  • Select appropriate model architectures based on enterprise use cases
    Work on the latest applications of data science to solve business problems
  • Work directly with client stakeholders to translate business problems into high level analytics solution designs
  • Present analytic solutions to business audiences highlighting robustness of the solution and how it could help generate business value
Qualifications
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Statistics, or related field.
  • 7+ years in Machine Learning, NLP, or Data Science.
  • 3+ years building enterprise Generative AI applications.
  • Strong experience delivering production-ready AI systems.
  • Strong analytical, problem-solving, and facilitation skills
  • Familiarity with task automation or AI/ML-driven solution design is a plus
  • Excellent written and verbal communication skills

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

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