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Data Science Machine Learning Jobs in Maryland (NOW HIRING)

Nordic

Effectively communicates the data science / machine learning approach and how it will meet and address objectives to business partners. * Advocates and educates business partners on the machine ...

Total Wine & More

Director, Data Science

Bethesda, MD · On-site

Responsibilities : • Spearhead the strategy and execution of enterprise-wide data science, machine learning, and AI initiatives, ensuring alignment with long-term organizational goals and business ...

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 ...

Agile Defense

Data Scientist

Fort George G Meade, MD · On-site

Preferred Skills and Experience • 4+ years of experience in applied data science, machine learning engineering, or data pipeline development. • Proficient in Python, SQL, and distributed data ...

Agile Defense

Data Scientist

Fort George G Meade, MD

Preferred Skills and Experience 4+ years of experience in applied data science, machine learning engineering, or data pipeline development. Proficient in Python, SQL, and distributed data frameworks ...

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All JobsData Science Machine Learning JobsData Science Machine Learning Jobs in Maryland

Data Science Machine Learning information

See Maryland salary details

$36.4K

$119.1K

$190.7K

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

As of Jul 22, 2026, the average yearly pay for data science machine learning in Maryland is $119,123.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,600.00 and $132,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Science Machine Learning professional, and why are they important?

To thrive as a Data Science Machine Learning professional, you need a strong background in statistics, programming (usually Python or R), and a solid understanding of machine learning algorithms, often supported by a degree in computer science, mathematics, or a related field. Familiarity with tools like TensorFlow, scikit-learn, SQL databases, and cloud platforms, as well as certifications such as AWS Certified Machine Learning, are typically valuable. Critical thinking, problem-solving, and effective communication are vital soft skills for interpreting data and collaborating with stakeholders. These skills enable professionals to develop robust models, extract actionable insights, and drive data-driven decision-making in organizations.

What are some common challenges faced when deploying machine learning models as a Data Science Machine Learning professional?

A frequent challenge in this role is bridging the gap between building accurate models in a controlled environment and deploying them effectively in production systems. Issues such as data drift, model performance degradation, and integration with existing IT infrastructure often arise. Collaboration with engineering and IT teams is crucial to ensure models are scalable, maintainable, and secure. Regular monitoring and updating of deployed models are also essential responsibilities to sustain their value to the business.

What is the difference between Data Science Machine Learning vs Data Analyst?

AspectData Science Machine LearningData Analyst
Required SkillsProgramming (Python, R), statistics, machine learning algorithmsData visualization, SQL, basic statistics
Work EnvironmentDeveloping models, coding, experimenting with algorithmsData reporting, dashboard creation, data cleaning
Industry UsageTech, finance, healthcare, where predictive models are neededBusiness intelligence, marketing, operations

Data Science Machine Learning professionals focus on building predictive models and algorithms using programming and advanced statistics, often working on complex projects. Data Analysts primarily interpret data through visualization and reporting to support business decisions. While both roles require data skills, Data Science Machine Learning involves more technical programming and modeling, whereas Data Analysts focus on data interpretation and presentation.

What is data science machine learning?

Data science machine learning refers to the use of algorithms and statistical models to analyze and draw insights from complex data sets. In this field, professionals use machine learning techniques to build predictive models, automate decision-making processes, and uncover patterns in data. Machine learning is a core component of data science, enabling systems to improve their performance over time without being explicitly programmed. Data scientists with machine learning expertise are in high demand across industries like healthcare, finance, and technology.
What cities in Maryland are hiring for Data Science Machine Learning jobs? Cities in Maryland with the most Data Science Machine Learning job openings:
Data Science Machine Learning jobs near you
Infographic showing various Data Science Machine Learning job openings in Maryland as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $119,123 per year, or $57.3 per hour.
Senior Data Scientist

Senior Data Scientist

Nordic

Full-time

Posted 14 days ago

Job description

Make a difference. Be happy. Grow your career.

The Role

Nordic, repeat Best in KLAS IT Services Firm and solely serving the healthcare industry, strives to empower healthcare providers to leverage technology and to realize digital transformation. All Nordic staff embrace Nordic's maxims and mission to serve our customers who care so well for us.

Key Responsibilities

The Senior Data Scientist applies strong expertise in machine learning, data science, and other artificial intelligence techniques to design, prototype and build next generation advanced analytics engines and services to solve complex healthcare industry problems. The Senior Data scientist should also have awareness about Gen AI & Agentic AI concepts and have a point of view on how traditional data science workflows can evolve harnessing the power of Generative AI & Agentic AI. The data scientist collaborates with business partners (clinicians / supply chain / HR across healthcare organizations) to define the technical problem statement and hypothesis to test and develops efficient and accurate analytical models that mimic business decisions and incorporates them into analytical data products or tools with the support of a cross-functional team.
Essential Job Functions

  • Collaborates with business partners to develop novel ways to meet business objectives utilizing machine learning and AI techniques and tools.

  • Effectively communicates the data science / machine learning approach and how it will meet and address objectives to business partners.

  • Advocates and educates business partners on the machine learning process and reasoning for solving problems with data-driven decision making.

  • Leads analytic approaches to integrate machine learning output into applications and tools with data engineers, business leads, analysts, and developers.

  • Creates repeatable, interpretable, dynamic, and scalable models that are seamlessly incorporated into analytic data products.

  • Engineers features by using business acumen (including healthcare industry knowledge) to find new ways to combine disparate internal and external data sources.

  • Identifies and develops scalable processes, frameworks, tools, methods and standards.

  • Collaborates and learns with a growing team of experienced data scientists.

  • Stays connected with external sources of ideas through conferences and community engagements.

Skills and Experience

  • Generally, requires a Bachelor's degree and 12 years of related experience or a Master's degree and 8 years of related experience.

  • Experience building end to end data science / machine learning solutions that have delivered tangible business value (required)

  • Strong communication and stakeholder management skills (required)

  • Masters, Data Science, Computer Science, Engineering, or Statistics (preferred)

  • Doctorate, Data Science, Computer Science, Engineering, or Statistics (preferred)

  • Experience working in Healthcare industry (preferred)

  • Understanding of EPIC data model (preferred)

Minimum Years of Experience

  • 8+ years' experience in a data science role (required)

  • 8+ years' experience in a data engineering, analyst, or architecture role (required)

Other Knowledge, Skills and Abilities Required

  • Machine learning concepts and principles

  • Good grasp of Generative AI and Agentic AI concepts

  • Strong communication skills

  • Python coding

  • SQL, Databricks

  • Understanding of machine learning operations

  • Attention to detail

  • Ability to work with technical and non-technical stakeholders

  • Requirements translation

  • Agile work process

  • Continuous learner

#LI-JD1

Nordic is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, marital or veteran status, or any other protected status under applicable federal, state, or local laws. We encourage individuals of all backgrounds to apply, including women, minorities, individuals with disabilities, and veterans.

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