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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 ...

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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 Aug 12, 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?

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 August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $119,123 per year, or $57.3 per hour.

Senior Applied AI Engineer 3 - (Python, Data Science, Machine Learning)

Akina, Inc.

Fort George G Meade, MD

$232K - $283K/yr

Full-time

Retirement, PTO

Posted 8 days ago

Job description

Senior Applied AI Engineer 3 - (Python, Data Science, Machine Learning)

Clearance: TS/SCI - Polygraph required
Position ID: 20-16-028-SWE3
Location: Fort Meade, Maryland

Description:

Join a fast-moving AI team focused on delivering mission-critical AI capabilities that enable analysts and operators to make better, faster decisions. As a Senior Applied AI Engineer specializing in Data Science & Analytics, you will develop AI-enabled analytical tools that transform large and complex datasets into actionable mission insights. You will work directly with mission customers to understand analytical challenges, identify opportunities for artificial intelligence and machine learning, and rapidly prototype capabilities that solve real operational problems. Our team emphasizes customer collaboration, rapid iteration, and practical AI solutions over lengthy development cycles. This position is ideal for an engineer who enjoys combining data science, machine learning, and software engineering to create mission impact.

  • Design and develop AI-enabled analytics applications using Python and modern software engineering practices.
  • Perform exploratory data analysis, feature engineering, statistical analysis, and machine learning on mission datasets.
  • Develop pattern-of-life, anomaly detection, clustering, and predictive analytics capabilities.
  • Build retrieval-augmented generation (RAG) and LLM-powered workflows that enhance analytical processes.
  • Collaborate directly with mission customers to understand datasets and develop AI-driven analytical solutions.
  • Integrate structured and unstructured data into scalable AI applications.
  • Evaluate emerging AI and machine learning techniques for mission applicability.
  • Mentor junior engineers and contribute to technical direction across the team.

Position Required Skills:

  • Experience developing production software using Python.
  • Experience with data science, machine learning, or statistical analysis.
  • Experience using libraries such as Pandas, NumPy, Scikit-learn, or similar.
  • Experience building AI or machine learning applications.
  • Strong analytical and problem-solving skills.
  • Experience working with SQL, Elasticsearch, or other large-scale data platforms.
  • Ability to communicate technical concepts to both technical and non-technical stakeholders.
  • Experience collaborating directly with customers to solve analytical problems.

Nice to Haves

  • Experience with LLMs, prompt engineering, or retrieval-augmented generation (RAG).
  • Experience with geospatial analysis, pattern-of-life analytics, or time-series analysis.
  • Experience with data visualization tools and dashboard development.
  • Experience deploying machine learning models into production.
  • Experience supporting classified mission environments.

SWE3 Qualifications:

YOE Requirement: 12 yrs., B.S. in a technical discipline or 4 additional yrs. in place of B.S.

Salary Range: $232k-$283k (Annually)

The range displayed above is a likely salary range for this position. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possible contractual requirements and could fall outside of this range.

Akina is a Woman Owned, Service Disabled, Veteran Owned, Small Business, looking for talented and ambitious individuals to join our team. We offer a generous compensation package that includes 24 days PTO accrued annually and 11 federal holidays. Our 401k is 100% vested on your start date and the company makes a direct contribution worth 10% of your salary. Akina covers 100% of healthcare costs for employees and 50% toward dependents. We offer educational assistance towards college classes and will cover costs associated with job related training and certifications.

Akina is committed to excellence and creating innovative and flexible solutions for our clients. We are a small company with an open ear to our employees' needs in order to attract and retain quality talent that enables our customer's mission.

We are an equal employment opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

www.akina-inc.com/careers