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Internship R Programming Language Jobs in Reno, NV

HSE Intern (Summer 2026)

Reno, NV · On-site

$17 - $21.50/hr

Seeking candidates available for a full-time internship for Summer 2026. Responsibilities Include ... Chemical Engineering, Environmental Engineering, or related field) OR a recent graduate April/May ...

HSE Intern (Summer 2026)

Reno, NV · On-site

$17 - $21.50/hr

Seeking candidates available for a full-time internship for Summer 2026. Responsibilities Include ... Chemical Engineering, Environmental Engineering, or related field) OR a recent graduate April/May ...

... engineering, receipt asset tagging, physical distribution of inventory/USPS mail byway of courier ... R. case carts • May manage electronic files in which to produce necessary printed materials which ...

... engineering, receipt asset tagging, physical distribution of inventory/USPS mail byway of courier ... R. case carts • May manage electronic files in which to produce necessary printed materials which ...

Internship R Programming Language information

See Reno, NV salary details

$9

$17

$23

How much do internship r programming language jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for internship r programming language in Reno, NV is $17.25, according to ZipRecruiter salary data. Most workers in this role earn between $14.38 and $19.18 per hour, depending on experience, location, and employer.

Is 30 an hour good for an intern?

For an internship involving R programming, a rate of $30 an hour is considered above average in many regions, especially for entry-level or learning positions. Interns typically earn lower wages, but this rate may reflect specialized skills, remote work, or competitive markets; it is important to consider local standards and the internship's scope. Compensation can vary based on industry, location, and the intern's experience level.

What is an Internship in R Programming Language?

An Internship in R Programming Language is a temporary position designed for students or recent graduates to gain practical experience using R, a popular language for statistical computing and data analysis. Interns typically work on real-world projects involving data manipulation, statistical modeling, and data visualization under the supervision of experienced professionals. These internships help participants develop valuable technical skills, enhance their resumes, and network within the industry. They are often available in sectors like finance, healthcare, technology, and academia, where data-driven decision-making is crucial.

What is the difference between Internship R Programming Language vs Data Analyst?

AspectInternship R Programming LanguageData Analyst
Required CredentialsBasic programming skills, often pursuing or recent graduatesBachelor's degree in related field, some certifications
Work EnvironmentInternship setting, entry-level projectsFull-time or part-time professional role
Industry UsageUsed for data analysis, visualization, and statistical tasksAnalyzes data, creates reports, supports decision-making

Internship R Programming Language focuses on learning and applying R skills in a temporary, entry-level setting, often as part of an internship. Data Analysts use R among other tools to perform ongoing data analysis in a professional environment. While internships are training roles, Data Analysts are full-time professionals with broader responsibilities.

What jobs use the R programming language?

Jobs that use the R programming language include data analyst, data scientist, biostatistician, and research scientist roles. These positions often require skills in statistical analysis, data visualization, and familiarity with data management tools. R is widely used in industries such as healthcare, finance, and academia for data analysis and modeling.

What are the key skills and qualifications needed to thrive as an R Programming Language Intern, and why are they important?

To thrive as an R Programming Language Intern, you need a solid understanding of R syntax, data manipulation, and basic statistical concepts, often supported by coursework or relevant project experience. Familiarity with tools like RStudio, version control systems such as Git, and packages like dplyr and ggplot2 is typically expected. Strong problem-solving skills, attention to detail, and the ability to communicate findings clearly help interns stand out. These skills are vital for producing reliable analyses, collaborating effectively, and contributing to data-driven decision-making within an organization.

Is the R programming language in demand?

The R programming language is in demand for data analysis, statistical modeling, and data visualization roles. Many industries such as healthcare, finance, and research seek professionals skilled in R, especially those familiar with data manipulation packages like dplyr and ggplot2. Proficiency in R can enhance job prospects in data science and analytics fields.

Is R in high demand?

R programming language skills are in high demand in data analysis, statistics, and data science roles. Many organizations seek professionals proficient in R for data visualization, statistical modeling, and machine learning tasks, making it a valuable skill for internships and entry-level positions in these fields.

What types of projects or tasks can I expect to work on during an R Programming Language internship?

As an R Programming Language intern, you'll typically be involved in data analysis, statistical modeling, and creating data visualizations using R. You may work on cleaning and preparing datasets, developing scripts to automate data processing, or assisting with research projects that require statistical analysis. Collaboration with data scientists, analysts, or research teams is common, and you'll likely have opportunities to present your findings or contribute to reports. This hands-on experience can help you build a strong foundation in data science and analytics, preparing you for more advanced roles in the field.
What job categories do people searching Internship R Programming Language jobs in Reno, NV look for? The top searched job categories for Internship R Programming Language jobs in Reno, NV are:
What cities near Reno, NV are hiring for Internship R Programming Language jobs? Cities near Reno, NV with the most Internship R Programming Language job openings:
Data Scientist II - Big Data R&D, Identity Graph & KYC

Data Scientist II - Big Data R&D, Identity Graph & KYC

Socure

Carson City, NV

Full-time

Posted 28 days ago


Job description

Why Socure?

Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day.

We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading.

About the Role

The Big Data R&D team is responsible for building the core identity graph and entity-resolution capabilities that power Socure’s KYC and compliance products. In this role, you will help develop graph-based algorithms and data pipelines on massive PII datasets, support modelers with high-quality features, and evaluate new data sources that feed our identity and fraud products. You will work closely with senior data scientists and engineers while developing your skills in large-scale ML, distributed systems, and graph analytics.

What You\'ll Do
  • Contribute to the design and implementation of machine learning, data mining, statistical, and graph-based algorithms to analyze very large datasets for identity verification and anomaly detection.

  • Analyze large datasets to help develop and refine entity-resolution and identity-matching algorithms that drive Socure’s KYC and compliance solutions.

  • Build and maintain components of data-processing pipelines (ETL, feature generation, normalization) using tools such as Spark/PySpark and AWS (e.g., EMR, S3).

  • Support senior data scientists with feature engineering, data exploration, error analysis, and A/B test setup for new models and signals.

  • Help evaluate new third‑party and internal data sources: profile data quality, design offline experiments, and summarize impact on coverage and model performance.

  • Implement and maintain SQL and Python/R code for data extraction, transformation, and validation; contribute to code reviews and basic testing.

  • Provide analytical support to compliance and regulatory product teams, including ad hoc investigations, simple dashboards, and data deep dives.

  • Communicate findings in a clear, structured way to peers and cross‑functional partners (Product, Engineering, Client Analysis), focusing on key insights and trade‑offs.

  • Work effectively in a fast‑paced, cross‑functional environment; demonstrate ownership of well-scoped tasks and follow through to completion.

What You Bring
  • Master’s degree with 2+ years of experience, or Ph.D. with 1+ years of experience in a data science or analytics role, or equivalent practical experience.

  • Proficiency in at least one general-purpose programming language used in data science (Python, or Scala).

  • Solid experience writing and optimizing SQL for large datasets; comfort working in data lake / warehouse environments.

  • Hands‑on experience with Spark or PySpark and common ML libraries (e.g., scikit‑learn, XGBoost, TensorFlow/PyTorch a plus).

  • Familiarity with UNIX environments and the AWS ecosystem (e.g., EMR, S3); Databricks experience is a plus.

  • Working knowledge of supervised/unsupervised ML and basic statistics (similarity measures, clustering, evaluation metrics).

  • Exposure to graph techniques or graph databases (Neo4j, AWS Neptune, GraphFrames) is a strong plus.

  • Bonus: experience with Elasticsearch or DynamoDB; workflow tools such as Airflow for automating data pipelines.

  • Ability to break down loosely defined problems, ask good clarifying questions, and iterate quickly with feedback.

Please note that sponsorship is not available at this time; and that you must be located within 45 miles of a talent hub to be considered.

Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly.

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