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Temporary Data Science R Jobs in Virginia (NOW HIRING)

This role will serve as a hands-on data science solution developer, partnering with enterprise ... Demonstrated ability programming in Python, R, and/or Scala. * Must be able to obtain or have an ...

Data Scientist

Herndon, VA · On-site

$51K - $82K/yr

This role will serve as a hands-on data science solution developer, partnering with enterprise ... Demonstrated ability programming in Python, R, and/or Scala. * Must be able to obtain or have an ...

Data Scientist

Chesapeake, VA · On-site

$100K - $135K/yr

... and R. Requirements: • DoD Secret Clearance • Bachelor's degree in Computer or Data Science • Minimum of 5 or more years' experience in the use of data visualization software and advanced ...

Apply Early

Required : • 5+ years of experience using data science programming languages, such as Python or R • Experience creating ETL pipelines, including querying APIs, cleaning and conditioning data, and ...

Required : • 2+ years of experience using data science programming languages, such as Python or R • Experience creating ETL pipelines, including querying APIs, cleaning and conditioning data, and ...

Requirements: * 4+ years of experience using programming languages, including Python, R, or Java, to manipulate and analyze data * Bachelor's degree in Computer Science, Mathematics, or relevant ...

Requirements: * 4+ years of experience using programming languages, including Python, R, or Java, to manipulate and analyze data * Bachelor's degree in Computer Science, Mathematics, or relevant ...

Senior Data Scientist

Chantilly, VA · On-site

$130K - $160K/yr

Programming languages such as Python(inclusive of libraries that are used in data science e.g. numpty, pandas, and scipy); R; Julia (dynamic programming language), or other programming languages.

Senior Data Analyst

Quantico, VA · On-site

$91K - $114K/yr

Strong experience with scripting languages such as Python and R * Experience with data science, data mining, statistics, and graph algorithms * Proficiency with SQL, NoSQL, API development, ETL ...

You will contribute across the full data science lifecycle, from problem formulation and data ... Prior programming experience, preferably in Python or R, including data exploration, feature ...

You will contribute across the full data science lifecycle, from problem formulation and data ... Prior programming experience, preferably in Python or R, including data exploration, feature ...

These are Data Science apps. * Work with business teams, capture requirements, and migrate to cloud ... R Shiny Development * CI/CD * RStudio Connect needed. * SageMaker needed. * AWS exp needed - S3 ...

Senior Data Analyst

Quantico, VA · On-site

$91K - $114K/yr

Strong experience with scripting languages such as Python and R * Experience with data science, data mining, statistics, and graph algorithms * Proficiency with SQL, NoSQL, API development, ETL ...

Requirements: * 4+ years of experience using programming languages, including Python, R, or Java, to manipulate and analyze data * Bachelor's degree in Computer Science, Mathematics, or relevant ...

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Temporary Data Science R information

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or data features. Data scientists often focus on the most impactful variables or tasks to optimize model performance and efficiency.

What jobs can you get knowing R?

Knowing R can qualify you for roles such as data analyst, data scientist, statistical programmer, or research analyst. These jobs involve data manipulation, statistical analysis, and visualization, often requiring familiarity with R packages like ggplot2 or dplyr and sometimes additional skills in SQL or Python.

Will AI replace data scientists in 2050?

As a temporary data science R, AI is expected to augment rather than replace data scientists by automating routine tasks and enhancing data analysis capabilities. Data scientists will continue to be essential for interpreting complex data, developing models, and applying domain expertise, especially as tools like machine learning frameworks evolve. Adaptability and skills in programming, statistics, and AI tools will remain valuable in the future job market.

Is 40 too late for data science?

Age is not a barrier to entering data science, and many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, along with practical experience. Continuous learning and adapting to industry trends are key regardless of age.
What are the most commonly searched types of Data Science R jobs in Virginia? The most popular types of Data Science R jobs in Virginia are:
What cities in Virginia are hiring for Temporary Data Science R jobs? Cities in Virginia with the most Temporary Data Science R job openings:
Data Scientist

$51K - $82K/yr

Full-time

Posted 7 days ago


Peraton rating

8.2

Company rating: 8.2 out of 10

Based on 53 frontline employees who took The Breakroom Quiz

47th of 207 rated it services


Job description

Responsibilities

Peraton is seeking a Data Scientist to join our team of qualified, diverse individuals. This position will be located in Herndon, VA. The qualified applicant will become part of Peraton's Department of State (DOS) Consular Systems Modernization (CSM) Program, for the Bureau of Consular Affairs (CA). This initiative will modernize and consolidate the operational environment under a common technology framework to better support the services provided to CA's customers. 

The Data Scientist will support predictive analytics, model development and help inform architectural decisions for data science tools supporting an overall enterprise predictive analytics platform. Stellar communication skills, forward thinking, and the ability to work in a fast-paced team environment will be pivotal. This role will serve as a hands-on data science solution developer, partnering with enterprise architects, cloud engineering teams, and product leadership to ensure scalable, secure, and sustainable solutions.

Roles and 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.
  • Ahere 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.

#DOSCSM

Qualifications

Basic Qualifications:

  • 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 Qualifications:

  • 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.
Peraton Overview

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure.

Target Salary Range$51,000 - $82,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.EEOEEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.Employment Type: FULL_TIME

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Benefits

Hours and flexibility

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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