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Data Science R Jobs in Baltimore, MD (NOW HIRING)

Varsity Tutors

Data Science Tutor

College Park, MD · Remote

$40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

Varsity Tutors

Data Science Tutor

Bowie, MD · Remote

$40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

Varsity Tutors

Data Science Tutor

Baltimore, MD · Remote

$40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

Varsity Tutors

Data Science Tutor

Laurel, MD · Remote

$40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

Norstella

Director, Data Science

Annapolis, MD · Remote

Director, Data Science Company: Norstella Location: Remote, United States Date Posted: May 18, 2026 ... R-1969 Description Why Norstella? Norstella unites market-leading companies that all have a shared ...

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Data Science R information

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$37.3K

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How much do data science r jobs pay per year?

As of Jun 6, 2026, the average yearly pay for data science r 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 Science R job?

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 are the typical daily tasks for a Data Science R professional in most organizations?

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.

What are the most commonly searched types of Data Science R jobs in Baltimore, MD? The most popular types of Data Science R jobs in Baltimore, MD are:
What are popular job titles related to Data Science R jobs in Baltimore, MD? For Data Science R jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Data Science R jobs in Baltimore, MD look for? The top searched job categories for Data Science R jobs in Baltimore, MD are:
Data Science R jobs near you
Infographic showing various Data Science R job openings in Baltimore, MD as of May 2026, with employment types broken down into 2% As Needed, 67% Full Time, 25% Part Time, 5% Contract, and 1% Nights. Highlights an 74% Physical, 2% Hybrid, and 24% Remote job distribution, with an average salary of $121,958 per year, or $58.6 per hour.
Data Science Practitioner

Data Science Practitioner

Accenture Federal Services

Annapolis Junction, MD

Other

Posted 7 days ago

Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

46th of 425 rated business services

Job description

Accenture Federal Services is looking for a highly motivated and skilled Data Scientist/AI Specialist to join our innovative team. The ideal candidate will possess a strong background in programming, statistical analysis, machine learning, and data preparation, ensuring effective data analysis and informed decision-making.

What you'll do:

  • Develop and implement data-driven solutions using programming languages such as Python and R
  • Conduct statistical analyses, including regression, hypothesis testing, and distribution analysis, to interpret data accurately
  • Design and train machine learning models using frameworks like TensorFlow and Scikit-Learn for predictive analytics and automation
  • Perform data wrangling to clean and organize raw datasets, making them ready for meaningful analysis
  • Collaborate with cross-functional teams to understand business needs and deliver actionable insights

What you'll need:

  • Bachelor's degree from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science)
    • 4 years of experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics can be substituted for a Bachelor's degree
    • A PhD from an accredited college or university in a quantitative discipline can be substituted for four 4 years of experience
  • 14 years of experience in software engineering in similar programs and contracts 
  • 5 years of experience programming with data analysis software such as R, Python, SAS, or MATLAB

Bonus points if you have:

  • Familiarity with libraries like NumPy, pandas, and advanced visualization tools
  • Experience analyzing datasets and developing analytics 
  • Experience in creating impactful data visualizations and reports for stakeholders
  • Ability to work independently and in a collaborative team environment
  • Strong foundation in statistics and probability, including regression analysis and hypothesis testing
  • Hands-on experience with machine learning frameworks such as TensorFlow and Scikit-Learn
  • Expertise in data wrangling to prepare raw data for analysis
  • Excellent problem-solving and analytical skills

Security Clearance:

  • Must have an active TS/SCI with polygraph level clearance

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