1

Temporary Data Science R Jobs in Washington (NOW HIRING)

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 ...

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 Scientist

Chantilly, VA · On-site

$100 - $140/hr

Reviews and defines requirements for data science cybersecurity approaches. * Tools: AWS, Spark, Kafka, Tableau, Python (TensorFlow, PyTorch), R (tidyverse, RShiny), Splunk, Agile/Scrum/Jira ...

... 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 ...

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 ...

... in Data Science, Machine Learning, or Analytics * Strong foundation in Statistics, Probability ... Proficiency in Python (NumPy, Pandas, Scikit-learn, OpenCV), SQL, R, and Git . * Experience ...

Manager of Data Science

Arlington, VA

  • Medical

  • Dental

  • Vision

  • Retirement

... in R, Python, or other scripting languages. They are comfortable working with APIs, web scraping ... As Manager of Data Science, you will have to following responsibilities: Leadership * Provide ...

... 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 ...

... 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 ...

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 ...

... data science roles * Strong proficiency with Python or R and SQL * Experience with statistical ... analysis, modeling, or machine learning techniques * Strong written and verbal communication skills

... 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)

Data Scientist - Mid

Washington, DC · On-site

$120K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Skill in major data science languages, including R and Python, and in managing and merging disparate data sources through R, Python, or SQL * Proficiency in data visualization tools including Power ...

... 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)

Data Scientist - Mid

Washington, DC · On-site

$120K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Skill in major data science languages, including R and Python, and in managing and merging disparate data sources through R, Python, or SQL * Proficiency in data visualization tools including Power ...

Showing results 41-60

Temporary Data Science R information

Is R useful for data science?

R is a widely used programming language in data science, especially for statistical analysis, data visualization, and modeling. It offers numerous packages like ggplot2 and caret that support data manipulation and machine learning tasks, making it a valuable skill for data scientists and analysts. Proficiency in R can enhance data analysis capabilities and is often sought after in data science roles.

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

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

What cities in Washington are hiring for Temporary Data Science R jobs?

Cities in Washington with the most Temporary Data Science R job openings:

Junior Data Scientist

AITHERAS, LLC

Arlington, VA • On-site

$100K - $120K/yr

Full-time

Re-posted 27 days ago


Job description

Junior Data Scientist / Performance Data Analyst I
Location: Washington, DC / Hybrid / Government Facility as Required
Clearance / Background: U.S. Citizen required; ability to obtain DOJ Public Trust and Secret clearance; active Secret preferred
Experience Level: 1-3 years
Role Summary
The Junior Data Scientist / Performance Data Analyst I supports a federal Management Information System program by helping collect, clean, validate, analyze, and visualize operational and performance data.
This role is ideal for an early-career data scientist with strong Python, R, SQL, Tableau, machine learning, NLP, and statistical analysis skills who is ready to progress from research, healthcare, or academic data work into federal mission analytics.
Key Responsibilities
  • Collect, clean, validate, and analyze structured and semi-structured program data.
  • Build SQL, Python, and R scripts to extract data, run calculations, automate recurring analysis, and reduce manual reporting effort.
  • Develop and maintain Tableau dashboards, visual reports, charts, and performance summaries.
  • Support data quality reviews by identifying anomalies, missing values, inconsistent records, and reporting defects.
  • Assist senior analysts with statistical modeling, machine learning, trend analysis, and performance measurement.
  • Translate complex datasets into clear summaries for non-technical stakeholders.
  • Document data sources, business rules, transformation logic, assumptions, and analytical methods.
  • Support recurring weekly, monthly, quarterly, and ad hoc reporting requirements.
  • Review model outputs and error patterns to recommend improvements to analytical workflows.
  • Collaborate with senior data scientists, program analysts, project managers, and government stakeholders.
Required Qualifications
  • Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Information Systems, Neuroscience, Public Health Analytics, or a related quantitative field.
  • 1-3 years of data science, data analytics, research analytics, BI, or machine learning project experience.
  • Hands-on Python experience using pandas, NumPy, scikit-learn, matplotlib, spaCy, Keras, or similar libraries.
  • R experience using tidyverse, tidymodels, ggplot2, Shiny, or equivalent packages.
  • SQL experience for querying, joining, filtering, and preparing datasets.
  • Tableau, Power BI, R Shiny, or similar dashboard/data visualization experience.
  • Experience with machine learning classification, NLP, model evaluation, or predictive analytics.
  • Ability to inspect model errors, validate outputs, and communicate improvement opportunities.
  • Strong Excel and Microsoft Office skills.
  • Ability to explain technical findings to non-technical stakeholders.
  • U.S. citizenship and ability to obtain required federal suitability/clearance.
Preferred Qualifications
  • Active Secret clearance or prior federal suitability.
  • Experience with federal, public sector, law enforcement, financial, healthcare, biomedical, or large statistical datasets.
  • Experience supporting performance metrics, KPI reporting, operational reporting, or program evaluation.
  • Experience building client-facing dashboards or interactive data applications.
  • Experience with BERT, NLP, unstructured text, topic segmentation, or terminology data.
  • Familiarity with data governance, data privacy, PII handling, CUI, or secure data environments.
  • AWS, Git, Jupyter Notebook, or cloud analytics exposure.
Tools / Technologies
Python, R, SQL, Tableau, Excel, Jupyter Notebook, Git, AWS, pandas, NumPy, scikit-learn, spaCy, Keras, tidyverse, tidymodels, ggplot2, Shiny, NLP, BERT, dashboards, data visualization, statistical modeling.