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Data Science R Jobs in Maryland (NOW HIRING)

MANTECH

Data Scientist

Fort George G Meade, MD

Executing and contributing technical expertise across multiple data science and analytic ... Python, R, SQL, or similar). Preferred Qualifications: * Experience developing, deploying, and ...

Noblis

Cleared - Data Scientist - Senior

Bethesda, MD · On-site

Leverage standard data science languages (SQL, R, Python, Julia) to develop and deliver analytical solutions * Understand and apply data integration and data management fundamentals, successfully ...

MANTECH

Data Scientist

Fort George G Meade, MD

BA/BS in Math, Statistics, Engineering, Computer Science, or related field * Proficiency with Python and R. * Experience using large data sets to solve problems. * Knowledge of and experience with ...

MANTECH

Data Scientist

Fort George G Meade, MD · On-site

BA/BS in Math, Statistics, Engineering, Computer Science, or related field * Proficiency with Python and R. * Experience using large data sets to solve problems. * Knowledge of and experience with ...

MANTECH

Data Scientist

Fort George G Meade, MD · On-site

BA/BS in Math, Statistics, Engineering, Computer Science, or related field * Proficiency with Python and R. * Experience using large data sets to solve problems. * Knowledge of and experience with ...

Dlapiper

Data Scientist

Baltimore, MD · On-site +1

Python, R, SQL, SAS, NLTK, Scikit-Learn, Excel, Tableau, Power BI, and Jupyter; Basic data science concepts: probability, statistics, hypothesis testing, machine learning, natural language processing ...

Leidos

Data Scientist Thought Leader

Gaithersburg, MD · On-site

Mastery of Python, R, and data science libraries (e.g., TensorFlow, PyTorch, Keras). * Expertise in geospatial analytics tools (e.g., GeoPandas, GDAL, ArcGIS), and familiarity with geospatial data ...

Leidos

Data Scientist Thought Leader

Gaithersburg, MD · On-site

Mastery of Python, R, and data science libraries (e.g., TensorFlow, PyTorch, Keras). * Expertise in geospatial analytics tools (e.g., GeoPandas, GDAL, ArcGIS), and familiarity with geospatial data ...

Lexical Intelligence

NLM Data Scientist

Bethesda, MD · On-site

$125 - $150/hr

Experience with programming languages such as Python, R, or SAS * Knowledge of machine learning and deep learning algorithms Preferred Qualifications: * Ph.D. in data science, statistics, computer ...

Lexical Intelligence LLC

NLM Data Scientist

Bethesda, MD · On-site

$100K - $115K/yr

Experience with programming languages such as Python, R, or SAS * Knowledge of machine learning and deep learning algorithms Preferred Qualifications: * Ph.D. in data science, statistics, computer ...

Emmes

Data Scientist

Rockville, MD · On-site +1

At Emmes Group, we bring People, Science, and Technology together to collaborate with our customers ... Support data processing and automation of model development workflows using R, Python, SQL, and ...

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Data Science R information

What is a Data Science R?

A Data Science R job involves using the R programming language for data analysis, statistical modeling, and machine learning. Professionals in this role work with large datasets, clean and preprocess data, apply predictive modeling techniques, and visualize insights. They often use libraries like ggplot2, dplyr, and caret to manipulate data and build models. This role is common in industries such as finance, healthcare, and marketing, where data-driven decision-making is essential. Strong statistical knowledge, programming skills, and domain expertise are key to success in this position.

What does a Data Science R do?

In most organizations, Data Science R professionals spend their days gathering and cleaning data, performing exploratory data analysis with R, building and evaluating predictive models, and generating data visualizations to communicate results. They often meet with cross-functional teams to understand business needs, translate them into data projects, and present key findings. Additionally, they may write reproducible R scripts, maintain data pipelines, and document their methodologies. Collaboration, experimentation, and clear communication are integral parts of the role, enabling solutions that directly impact business outcomes.

What are the key skills and qualifications needed to thrive in the Data Science R position, and why are they important?

To thrive as a Data Science R professional, you need solid expertise in statistics, machine learning, and programming in R, often supported by a degree in data science, statistics, or a related field. Experience with R-based data analysis libraries, visualization tools like ggplot2, and familiarity with databases or cloud platforms is typically expected; certifications in data science or R programming can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication with stakeholders help distinguish top performers in this role. These skills are essential for delivering actionable insights from complex datasets and driving data-informed decision-making within organizations.

Is R useful for data science?

Data Science R is a popular programming language used for statistical analysis, data visualization, and machine learning. It offers extensive libraries and tools that are widely adopted in data science workflows, making it a valuable skill for data analysts and data scientists. Proficiency in R can enhance data manipulation, modeling, and reporting capabilities in data science roles.

What are the most commonly searched types of Data Science R jobs in Maryland?

The most popular types of Data Science R jobs in Maryland are:

What are popular job titles related to Data Science R jobs in Maryland?

For Data Science R jobs in Maryland, the most frequently searched job titles are:

What job categories do people searching Data Science R jobs in Maryland look for?

The top searched job categories for Data Science R jobs in Maryland are:

Data Science R jobs near you
Infographic showing various Data Science R job openings in Maryland as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 13% Part Time, and 3% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Data Scientist

Fort George G Meade, MD

MANTECH
IT Services • 5 - 10K employees
Learn more about MANTECHexternal

Full-time

Posted 13 days ago

ManTech rating

8.8

Company rating: 8.8 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

48th of 247 rated software companies

Job description

hackajob is collaborating with MANTECH to connect them with exceptional professionals for this role.

MANTECH seeks a motivated, career and customer-oriented Data Scientist in Fort Meade, MD, to drive cutting-edge statistical analytics and cloud-based data solutions for national security objectives.

In this role, you will collaborate with subject matter experts and customers to guide analytic development from prototype to production, delivering high-value data-driven insights while laying the groundwork for the future integration of machine learning into mission operations.

Responsibilities include but are not limited to:

  • Executing and contributing technical expertise across multiple data science and analytic development efforts in a secure cloud environment.
  • Collaborating with customers, intelligence analysts, and Subject Matter Experts to align analytic requirements with mission goals.
  • Prototyping and transitioning data pipelines and advanced analytics into scalable, operational environments.
  • Applying statistical modeling, data analysis, and graph-based approaches to complex datasets, preparing workflows for future machine learning applications.
  • Managing individual analytic tasks and delivering high-quality technical work to meet project objectives.

Minimum Qualifications:

  • Bachelor’s degree in quantitative or technical field (e.g., statistics, mathematics, operations research, engineering, computer science, data science, physics, or related discipline) or 4 additional years of direct relevant experience in lieu of a degree.
  • 7+ years of experience in a Data Scientist, Data Engineer, Data Analyst, or related technical role.
  • 7+ years of experience working with standard data analysis tools, frameworks, or languages (such as Python, R, SQL, or similar).

Preferred Qualifications:

  • Experience developing, deploying, and maintaining data workflows, pipelines, and analytic prototypes within secure cloud infrastructure.
  • Practical knowledge of advanced statistical modeling and foundational machine learning techniques, with familiarity in containerization and modern Machine Learning Operations (MLOps) to support the team's evolving Machine Learning roadmap.

Clearance Requirements:

  • Active TS/SCI with Polygraph.

Physical Requirements:

  • Must be able to remain in a stationary position 50% of the time.
  • Constantly operates a computer and other office productivity equipment.
  • Frequently communicates with coworkers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations.

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