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Temporary Data Science R Jobs in Ashburn, VA (NOW HIRING)

Proficiency in Python , R , or Scala and strong knowledge of data science libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas, NumPy). * Experience with cloud platforms (AWS, Azure, or GCP ...

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 ...

Write either R or Python scripts to drive data science work: flows, have experience using SQL, and managing and merging of disparate data sources, preferably through R, Python or SQL; statistical ...

... 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 ...

... 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 ...

... 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 ...

This role is responsible for applying data science, machine learning, and data engineering ... Experience with programming languages including Python, JSON, C++, Java, R, or Scala * Experience ...

This role is responsible for applying data science, machine learning, and data engineering ... Experience with programming languages including Python, JSON, C++, Java, R, or Scala * Experience ...

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Temporary Data Science R information

See Ashburn, VA salary details

$38.3K

$125.5K

$200.9K

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

As of Jun 29, 2026, the average yearly pay for temporary data science r in Ashburn, VA is $125,513.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,700.00 and $139,100.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Data Science R jobs in Ashburn, VA? The most popular types of Data Science R jobs in Ashburn, VA are:

Data Scientist

Core Interface

Chantilly, VA • On-site

Full-time

Posted 4 days ago


Key responsibilities

  • Lead the end-to-end lifecycle of data science projects from data collection and exploration to model development, evaluation, and deployment.

  • Design and implement predictive models, NLP solutions, and advanced analytics to solve business and operational problems.

  • Collaborate with engineering teams to integrate data science solutions into production systems.


Job description

Overview
The Senior Data Scientist leads the design, development, and implementation of data-driven solutions that support strategic decision-making and mission objectives. This role works closely with stakeholders, engineers, and analysts to translate complex data into actionable insights, leveraging advanced statistical, machine learning, and cloud-based analytical techniques.
Key Responsibilities
  • Lead the end-to-end lifecycle of data science projects - from data collection and exploration to model development, evaluation, and deployment.
  • Design and implement predictive models, NLP solutions, and advanced analytics to solve business and operational problems.
  • Work with large, complex datasets from multiple sources, ensuring data quality, consistency, and security.
  • Collaborate with engineering teams to integrate data science solutions into production systems (cloud or on-prem).
  • Mentor junior data scientists and analysts, providing technical guidance and peer reviews.
  • Present findings and visualizations to technical and non-technical audiences.
  • Stay current with emerging technologies, frameworks, and research in AI/ML and data science.

Qualifications
  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field (Ph.D. preferred).
  • 5+ years of hands-on experience applying machine learning and statistical modeling to real-world problems.
  • Proficiency in Python, R, or Scala and strong knowledge of data science libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas, NumPy).
  • Experience with cloud platforms (AWS, Azure, or GCP) and data tools (Spark, Databricks, Airflow).
  • Strong knowledge of SQL and experience with relational and NoSQL databases.
  • Ability to communicate technical concepts clearly and effectively to diverse audiences.
  • Active security clearance or eligibility to obtain one (for government contracts) preferred.

Core Interface Culture
At Core Interface, we combine technical excellence with a culture that values balance, innovation, and collaboration. Our teams work on mission-critical federal programs in data analytics, cybersecurity, and application development - where your work truly matters.