1

Weekend Data Science R Jobs in Washington, DC (NOW HIRING)

Responsibilities : • Develop data analytics products, AI services, and enterprise data science ... in Python, R, and/or Scala. • Must be able to obtain or have an Active Secret (or higher ...

Responsibilities : • Develop data analytics products, AI services, and enterprise data science ... in Python, R, and/or Scala. • Must be able to obtain or have an Active Secret (or higher ...

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

Build SQL, Python, and R scripts to extract data, run calculations, automate recurring analysis ... Required Qualifications * Bachelor's degree in Data Science, Statistics, Computer Science ...

... or R. * Possesses knowledge and experience of advanced analytics and data storage.Demonstrated oral and written communication skills. * Knowledge of various data science applications and ...

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

Build SQL, Python, and R scripts to extract data, run calculations, automate recurring analysis ... Required Qualifications * Bachelor's degree in Data Science, Statistics, Computer Science ...

... data science, artificial intelligence or machine learning * Proficiency with tools such as Postgresql/SQL, Python, R, and GitLab * Demonstrated experience with producing analytic insights from large ...

The successful candidate should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and ...

... science or a related field * Strong proficiency in programming languages such as Python or R ... Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn)

Reviews and defines requirements for data science cybersecurity approaches. Tools used to include the following or equivalent: AWS, Spark, Kafka, Tableau, Python (e.g., TensorFlow and PyTorch), R (e ...

Reviews and defines requirements for data science cybersecurity approaches. Tools used to include the following or equivalent: AWS, Spark, Kafka, Tableau, Python (e.g., TensorFlow and PyTorch), R (e ...

... of data science tools and languages including Python, R, SQL, and others as needed. • Experience with Machine Learning, Computer Vision, and Object Detection. • Experience building and ...

Utilize major data science languages, such as R and Python. * Perform management and merging of disparate data sources, preferably through R, Python, or SQL. * Perform statistical analysis, and data ...

Utilize major data science languages, such as R and Python. * Perform management and merging of disparate data sources, preferably through R, Python, or SQL. * Perform statistical analysis, and data ...

next page

Showing results 1-20

Weekend Data Science R information

See Washington, DC salary details

$42.5K

$139K

$222.6K

How much do weekend data science r jobs pay per year?

As of May 31, 2026, the average yearly pay for weekend data science r in Washington, DC is $139,013.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,600.00 and $154,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Weekend Data Science R, and why are they important?

To thrive as a Weekend Data Science R, you need a solid background in statistics, programming (especially in R), and data analysis, often supported by a relevant degree or coursework. Familiarity with data visualization tools, machine learning libraries, and version control systems like Git is commonly required. Excellent problem-solving, time management, and communication skills help you tackle projects independently and convey insights clearly. These skills are crucial for delivering actionable results efficiently while balancing part-time or weekend schedules.

What are some common challenges faced by Weekend Data Science R professionals, and how can they effectively manage project deadlines given a limited work schedule?

Weekend Data Science R professionals often face the challenge of managing complex data analysis projects within a restricted timeframe. Balancing project deadlines with limited availability requires strong time management and clear communication with team members. It's important to set realistic goals for each work session, prioritize tasks that drive the most value, and leverage collaboration tools to stay aligned with colleagues working during weekdays. Building a habit of thorough documentation and regularly syncing with the team ensures that progress continues smoothly, even when not physically present during the standard workweek.

What is a Weekend Data Science R?

A Weekend Data Science R is typically a data scientist or analyst who specializes in using the R programming language to analyze and interpret data, and who works primarily on weekends. This role may be part-time, project-based, or designed for individuals who are balancing other commitments during the week. Weekend Data Science R professionals often handle tasks such as data cleaning, statistical analysis, and creating data visualizations using R. They are valued for their ability to deliver insights and support decision-making processes, often on a flexible schedule. This role is ideal for those who have strong analytical skills and proficiency in R, and who prefer or require weekend work hours.
What are the most commonly searched types of Data Science R jobs in Washington, DC? The most popular types of Data Science R jobs in Washington, DC are:
DATA SCIENTIST

DATA SCIENTIST

Peraton

Herndon, VA • On-site

Full-time

Posted 2 days ago


Peraton rating

8.3

Company rating: 8.3 out of 10

Based on 52 frontline employees who took The Breakroom Quiz

37th of 203 rated it services


Job description

Job Summary:
Peraton is a next-generation national security company that drives missions of consequence across the globe. They are seeking a Data Scientist to support predictive analytics and model development for the Department of State's Consular Systems Modernization Program, focusing on enterprise data science capabilities and collaboration with cross-functional teams.
Responsibilities:
• Develop data analytics products, AI services, and enterprise data science capabilities.
• Design and develop the collection, cleaning, transformation, and analysis of large, complex datasets to identify patterns, trends, and actionable insights.
• Develop and implement data-driven solutions by leveraging Large Language Models (LLMs), including data preparation, deployment, model fine-tuning, and evaluation to create innovative applications.
• Work with cross-functional teams to integrate LLM capabilities into products, services, and decision-making processes.
• Adhere to architectural governance and utilize sustainable development practices.
• Support the design of predictive analytics models using data analytics and machine learning techniques.
• Help inform the architecture and implementation of large-scale data analytics projects.
Qualifications:
Required:
• Bachelor's degree in STEM field, concentration in Data Science.
• Minimum 2 years of relevant data science experience.
• Strong communication skills (written and verbal) with the ability to clearly communicate complex data findings to technical and non-technical stakeholders.
• Ability to design the collection, cleaning, and analysis of large, complex datasets to identify patterns, trends, and actionable insights.
• Proven experience applying advanced statistical methods, machine learning techniques, and programming tools to develop predictive and prescriptive models that support data-driven decision-making.
• Demonstrated ability programming in Python, R, and/or Scala.
• Must be able to obtain or have an Active Secret (or higher) clearance. Interim clearances are acceptable.
• Must be a U.S. Citizen.
Preferred:
• Previous experience as a Software Developer.
• Experience delivering data analytics and AI services in AI development environments.
• Background in cloud-based architecture and scalable data engineering ecosystems.
• Experience creating data analytics visualizations and dashboards using tools such as PowerBI, Tableau or R Shiny.
• Experience working within notebook environments such as Jupyter or Zeppelin.
• Experience with Synapse, Azure Data Factory, Databricks.
Company:
Peraton Fearlessly solving the toughest national security challenges. Founded in 1992, the company is headquartered in Woodbridge, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Peraton employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Peraton logo

About Peraton

Sourced by ZipRecruiter

At Peraton, we re at the forefront of delivering the next big thing every day. We re the partner of choice to help solve some of the world s most daunting challenges, delivering bold, new solutions to keep people around the world safer and more secure.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Herndon, VA, US

Year founded

2017