ItalyFreelance R Developer at Toptal Since June 15, 2020
Meinhard is a leader in data science and analytics with more than 15 years of experience. His strong background in statistics (a Ph.D.), ML, AI, 优化使他能够看到全局并设计针对特定问题的算法, solutions, and visualizations. 他曾在财富500强公司和初创公司工作,还建立并领导了一个数据科学家团队. Meinhard加入Toptal,帮助客户创建高效、稳健的数据驱动解决方案.
SpainFreelance R Developer at Toptal Since February 10, 2021
Carlos在物联网等领域拥有17年的数据科学经验, financial risk, credit scoring, churn analysis, biotechnology, and eCommerce. His international industry experience is backed by completing all courses toward a PhD in statistics and a master's and bachelor's degree in math. 除了成为R包生态系统的积极贡献者之外, Carlos通过在大学和商学院演讲和教授数据科学来分享他的专业知识.
United StatesFreelance R Developer at Toptal Since April 4, 2023
Neal是一位经验丰富的数据工程师,拥有强大的定量技能和软件生命周期经验, including data pipelines, big data, investment risk, software architecture, and tech debt management. He is proficient in Python, SQL, AWS, Snowflake, Airflow, R, 熟练使用Apache Superset进行数据可视化, AWS QuickSight, ggplot2, and Shiny. Neal holds a PhD in mathematics, an MS in operations research from UCLA, and a BS in applied math from Caltech.
BulgariaFreelance R Developer at Toptal Since February 4, 2019
Laura has a Ph.D. from the Max Planck Institute for Informatics, Germany, in the field of computational biology, 专注于使用统计学和机器学习的癌症生物标志物检测. 她从事自然语言处理领域的项目,如命名实体识别, sentiment analysis, fake news detection. Recently, she has worked on applying reinforcement learning methodology for trading financial instruments.
HungaryFreelance R Developer at Toptal Since December 3, 2020
Denes holds a Ph.D. 在认知科学和工商管理和统计学的硕士学位:他的母语是数据. Since 2015, he has been delivering data analytic services in various industry sectors. 他是Hungarian R meetup的共同组织者,并为各种开源R包做出了贡献. Formerly, Denes是HAS脑成像中心的研究实验室负责人, 在回答具有挑战性的问题时,他首先要对问题有一个深刻的理解.
NetherlandsFreelance R Developer at Toptal Since March 18, 2022
Thomas has 10+ years of experience in risk modeling and causal inference and has managed over €1 million in research funds as a scientist. Since 2019, he has worked as an independent contractor for various global pharmaceutical companies and CROs. His goal is to improve data-driven decision making by adopting state-of-the-art analysis methods and delivering scientific scrutiny in a timely fashion.
GermanyFreelance R Developer at Toptal Since November 19, 2020
Michael is a senior software and algorithms developer with more than 20 years of experience. 他擅长从零开始设计和开发项目, algorithms, run-time optimizations, data structures, parallel computation, and general problem-solving. 他在创业公司和科研实验室都工作过.
Czech RepublicFreelance R Developer at Toptal Since January 21, 2022
Kristian是一名专注于数据工程和web开发的高级开发人员. He has been building software for almost a decade, 有五人研发团队的领导经验吗, and has two published papers under his belt. Kristian擅长使用Python和R处理数据,以及使用Ruby on Rails开发web服务.
TurkeyFreelance R Developer at Toptal Since January 27, 2022
Pavel是一名数据科学家,专门研究贝叶斯方法. 他拥有计算语言学硕士学位和博士学位.D. 德国波茨坦大学的认知科学博士. Having worked in sectors as diverse as pricing, psychology, finance, education, health, eCommerce, SEO, and betting markets, Pavel在统计数据分析和数据科学方面拥有超过十年的经验.
AustraliaFreelance R Developer at Toptal Since April 14, 2022
Jason is a data analyst and researcher interested in finding patterns in novel data sets. He specializes in using traditional statistical methods and contemporary machine learning (ML) to extract knowledge from data. 他的经验范围从超高维和大数据到时间序列和非数值数据. Jason is a problem-solver with a proven ability to deliver in different team settings and to communicate with clients with diverse technical backgrounds.
GeorgiaFreelance R Developer at Toptal Since January 24, 2022
Ana is a problem solver that enjoys finding and fixing needs while supporting her team. As a data scientist with a Ph.D. in pure maths and a current obsession with MLOps, 她在诸如提交通过CI/CD等项目中体验到深刻的快乐, BI investigation to understand the process to model, project demos, data versioning, and graphs. So far, Ana successfully trained and logged models, 看到一个抽象的纯数学概念改进了她的模型, and had her code dissected at a code review.
R开发人员精通专门的数据分析, especially for statistical analysis, data visualizations, and reporting. This hiring guide details the core skills, use cases, 以及R开发人员的面试问题,以帮助您找到将推动公司数据走向成功的专家.
... allows corporations to quickly assemble teams that have the right skills for specific projects.
Despite accelerating demand for coders, Toptal prides itself on almost Ivy League-level vetting.
Our clients
Creating an app for the game
Leading a digital transformation
Building a cross-platform app to be used worldwide
挖掘实时数据将改变行业的游戏规则
What our clients think
Clients Rate Toptal R Developers4.4 / 5.0on average across 96 reviews as of Mar 1, 2024
Testimonials
Tripcents wouldn't exist without Toptal. Toptal Projects使我们能够与产品经理一起快速发展我们的基金会, lead developer, and senior designer. In just over 60 days we went from concept to Alpha. 其速度、知识、专业知识和灵活性是首屈一指的. Toptal团队是tripcents的一部分,就像tripcents的任何内部团队成员一样. 他们像其他人一样贡献并拥有开发的所有权. We will continue to use Toptal. As a startup, they are our secret weapon.
Brantley Pace, CEO & Co-Founder
Tripcents
我对我们与Toptal的合作经验非常满意. The professional I got to work with was on the phone with me within a couple of hours. 在和他讨论了我的项目后,我知道他就是我想要的候选人. 我立即雇用了他,他没有浪费时间就完成了我的项目, even going the extra mile by adding some great design elements that enhanced our overall look.
Paul Fenley, Director
K Dunn & Associates
与我合作的开发者都非常出色——聪明、有动力、反应灵敏. 过去很难找到高质量的工程师和顾问. Now it isn't.
Ryan Rockefeller, CEO
Radeeus
Toptal understood our project needs immediately. 我们遇到了一位来自阿根廷的杰出自由职业者, from Day 1, immersed himself in our industry, blended seamlessly with our team, understood our vision, and produced top-notch results. Toptal使与高级开发人员和程序员的联系变得非常容易.
Jason Kulik, Co-Founder
ProHatch
作为一家资源有限的小公司,我们不能犯代价高昂的错误. Toptal provided us with an experienced programmer who was able to hit the ground running and begin contributing immediately. 这是一次很棒的经历,我们会马上再来一次.
Stuart Pocknee , Principal
Site Specific Software Solutions
我们使用Toptal聘请了一位具有丰富的Amazon Web Services经验的开发人员. We interviewed four candidates, one of which turned out to be a great fit for our requirements. The process was quick and effective.
Abner Guzmán Rivera, CTO and Chief Scientist
Photo Kharma
Sergio was an awesome developer to work with. 一流,反应迅速,工作效率高.
Dennis Baldwin, Chief Technologist and Co-Founder
PriceBlink
Working with Marcin is a joy. He is competent, professional, flexible, 并且非常迅速地理解需要什么以及如何实现它.
André Fischer, CTO
POSTIFY
我们需要一位能立即开始我们项目的专业工程师. Simanas exceeded our expectations with his work. Not having to interview and chase down an expert developer was an excellent time-saver and made everyone feel more comfortable with our choice to switch platforms to utilize a more robust language. Toptal made the process easy and convenient. Toptal现在是我们寻求专家级帮助的首选之地.
Derek Minor, Senior VP of Web Development
Networld Media Group
Toptal's developers and architects have been both very professional and easy to work with. The solution they produced was fairly priced and top quality, reducing our time to launch. Thanks again, Toptal.
Jeremy Wessels, CEO
Kognosi
We had a great experience with Toptal. They paired us with the perfect developer for our application and made the process very easy. 它也很容易超出最初的时间框架, 我们可以在整个项目中保持同一个承包商. We definitely recommend Toptal for finding high quality talent quickly and seamlessly.
Ryan Morrissey, CTO
Applied Business Technologies, LLC
I'm incredibly impressed with Toptal. 我们的开发人员每天都和我交流,他是一个非常强大的程序员. 他是一个真正的专业人士,他的工作非常出色. 5 stars for Toptal.
Pietro Casoar, CEO
Ronin Play Pty Ltd
Working with Toptal has been a great experience. Prior to using them, I had spent quite some time interviewing other freelancers and wasn't finding what I needed. After engaging with Toptal, they matched me up with the perfect developer in a matter of days. 与我一起工作的开发人员不仅提供高质量的代码, 但他也提出了一些我没有想到的建议. It's clear to me that Amaury knows what he is doing. Highly recommended!
In Higgle's early days, we needed the best-in-class developers, at affordable rates, in a timely fashion. Toptal delivered!
Lara Aldag, CEO
Higgle
Toptal能让你轻松找到合适的人选,让你放心,因为他们有能力. I would definitely recommend their services to anyone looking for highly-skilled developers.
Michael Gluckman, Data Manager
Mxit
Toptal’s ability to rapidly match our project with the best developers was just superb. The developers have become part of our team, and I’m amazed at the level of professional commitment each of them has demonstrated. For those looking to work remotely with the best engineers, look no further than Toptal.
Laurent Alis, Founder
Livepress
Toptal makes finding qualified engineers a breeze. We needed an experienced ASP.. NET MVC架构来指导我们的启动应用程序的开发, Toptal在不到一周的时间里为我们找到了三位优秀的候选人. After making our selection, the engineer was online immediately and hit the ground running. It was so much faster and easier than having to discover and vet candidates ourselves.
Jeff Kelly, Co-Founder
Concerted Solutions
We needed some short-term work in Scala, and Toptal found us a great developer within 24 hours. 这在其他平台上是不可能实现的.
Franco Arda, Co-Founder
WhatAdsWork.com
Toptal offers a no-compromise solution to businesses undergoing rapid development and scale. Every engineer we've contracted through Toptal has quickly integrated into our team and held their work to the highest standard of quality while maintaining blazing development speed.
Greg Kimball, Co-Founder
nifti.com
How to Hire R Developers through Toptal
1
Talk to One of Our Industry Experts
Toptal的工程总监将与您一起了解您的目标, technical needs, and team dynamics.
2
Work With Hand-Selected Talent
几天之内,我们将为您的项目介绍合适的R开发人员. Average time to match is under 24 hours.
你可以直接雇佣R语言开发人员或者在网上发布欧博体育app下载. In general, you will follow four steps:
Identify skill requirements. Determine the skills required for your project. 所有R程序员都应该在数学和数据技能方面有很强的基础. 您还应该决定开发人员的资历,互补的R技能(例如.g.(SQL、Python或相关库),以及所需的数据类型.
Post a job description. Describe the role, technology stack, desired data insights, company culture, and team the candidate will work with.
Screen and interview candidates. Craft detailed R interview questions to assess the candidate’s experience with R in a work environment and knowledge of relevant libraries.
Finalize your hire. 设定一个开始的日期,准备让你的新员工加入团队.
How much does an R programmer cost to hire?
雇用R程序员的成本取决于他们将要执行的任务. Developers who focus on specialized machine learning and data manipulation cost more (approaching the range of a data scientist’s salary), 而专门从事数据分析的候选人可以以更低的价格被聘用(相当于数据分析师的薪水)。. 招聘成本也会因地点和开发者资历等因素而有所不同. As one point of reference, Glassdoor lists the average total pay 截至2023年9月6日,美国R程序员的工资为84,738美元.
How in demand is R?
在当前的市场中,对R开发的需求正在上升. However, it’s worth noting that demand dynamics may vary depending on geographical considerations, sector-specific trends, and organizational requirements. R在医疗保健等行业尤为突出, finance, academia, and marketing, 数据和统计分析在哪里构成决策框架的核心. R语言在复杂统计建模中的直观功能, sophisticated data visualization, 综合报道强化了其日益普及的程度.
How quick is the hiring process with Toptal?
一般来说,你可以在48小时内用Toptal雇佣一个R程序员. 我们的人才匹配者是他们所匹配的领域的专家,他们不是招聘人员或人力资源代表. They’ll work with you to understand your goals, technical needs, and team dynamics, 并从我们经过审查的全球人才网络中为您匹配理想的候选人.
一旦你选择了你的R专家,你将有一个无风险的试用期,以确保他们是完美的匹配. Our matching process has a 98% trial-to-hire rate, 所以你可以放心,你每次都得到最合适的.
What is R used for?
R是一种强大的编程语言,通常用于统计分析和数据可视化, making it an essential tool for research, statistics, financial analysis, and data science projects. R语言使程序员能够制定和测试统计模型, conduct exploratory data analysis, and generate high-quality visualizations. It offers a rich ecosystem of packages and solid machine learning and data mining capabilities. Overall, R是推动循证决策的引擎, 提供一个强大的平台,将原始数据转换为可操作的业务见解.
罗德里戈是一名数据科学家和全栈开发人员,曾担任人工智能公司的首席技术官和首席执行官. He specializes in data analysis and visualization, 并使用R开发了视觉上引人入胜的仪表板. Rodrigo has also worked on projects ranging from search algorithms and recommendation engines to web e-commerce platforms.
The big data market is on the rise, boasting a strong CAGR of 13.5%. 与此同时,对可重复性研究的需求也越来越大. In response to these surges, r是一种为专门的数据分析而设计的功能强大的编程语言,它一直在不断地扩展和发展. Certain R functions have undergone a tenfold increase 在不到十年的时间里,它被广泛使用,并且根据 TIOBE index.
大数据的增长和R的互补优势加剧了对熟练的R程序员的竞争, 导致工资上涨,人才库萎缩. 对于涉及大量统计分析等专业任务的项目, sophisticated data visualizations, or comprehensive reporting, hiring an R developer can ensure optimal project outcomes. Due to the language’s extensive collection of packages tailored to fields like healthcare, pharmaceuticals, and academia, R programmers fill a highly specialized niche.
This guide provides an overview of R, along with resources to navigate the competitive landscape and make informed hiring decisions. 对丰富的可用R库和工具有宝贵的见解, 以及有效评估候选人所需的核心概念, you will be well prepared to find and attract the right individuals to drive your organization’s data analysis initiatives forward.
是什么属性将优秀的R开发者与其他开发者区分开来?
R程序员拥有独特的技能,可以在信息项目中显著地使客户受益. Successful R professionals have a strong foundation in mathematical and data-focused concepts, 以及向团队成员和利益相关者展示发现所需的补充软技能:
Statistics R工程师的主要职责之一是使用统计概念导航复杂的数据集. Expertise in hypothesis testing, linear regression, probability theory, 因果关系使开发人员能够提取有意义的信息并得出可操作的结论.
Data visualization and manipulation – Skilled candidates excel in data visualization; they can harness the powerful capabilities of R to communicate complex visual information clearly and effectively. This ability helps stakeholders to grasp insights quickly and make informed decisions. In addition, data manipulation and cleaning 技能对于有效处理混乱和非结构化数据以及生成准确可靠的分析至关重要.
Database management -使用数据库是R开发人员的常见需求. Proficiency with SQL and experience working with relational databases like MySQL or PostgreSQL helps engineers retrieve, manipulate, and store data effectively.
Machine learningand predictive analytics – Familiarity with machine learning algorithms and techniques for predictive analytics is becoming increasingly important for R programmers. Experts who are well versed in implementing and evaluating models for tasks like classification, regression, clustering, 推荐系统可以为组织增加价值. 尤其要寻找那些紧跟最新算法的候选人 deep learning ones—to help your business remain competitive in the fast-moving field of machine learning.
Version control – Proficiency in version control systems like Git is crucial for collaborative software development. 虽然R专家可能不会完全融入开发环境, they should have experience with Git workflows, repositories, and commands such as branching and merging.
Problem-solving – Soft skills such as strong problem-solving abilities are essential for tackling the complex challenges of data analysis. 候选人还必须具备创造性和分析性思维能力,以创新和有效地克服障碍.
Communication and collaboration -在处理数据时,简明地传达分析过程结果的能力是至关重要的. R professionals should be able to effectively articulate their findings and insights, ensuring smooth project execution and fostering productive collaboration as part of a team.
Along with these general R developer skills, 对于R工程师来说,熟悉所处的行业是有利的, 您还需要确定项目所需的任何专业知识.
How can you identify the ideal R Developer for you?
确定能够有效地提升R应用程序的专业技能, 你应该首先定义你的技能差距或撰写一个问题陈述. Projects may require specific advanced techniques, 因此,将候选人的技能与你的业务需求相匹配是成功的关键. These steps ensure that the engineer you hire for your project has the expertise to handle complex tasks and deliver high-quality results. You may also consider whether your project allows for hiring remote R developers or if onsite engineers are required and whether you seek dedicated or freelance R developers.
On the whole, R engineers are less versatile and have fewer AI or machine learning (ML) libraries available compared to Python developers, who work with a general-purpose programming language. However, R engineers best Python developers when it comes to robust statistical computing methodologies and data visualization or reporting capabilities—and hiring managers who work on these types of projects should opt for a candidate who is proficient in R.
Use Cases for R vs. SQL Developers
R and SQL developers serve different yet complementary roles when it comes to data analysis:
R developers are best suited for statistical modeling, data analysis, and data visualization projects. R为这些目的提供了更复杂的工具集, with a vast array of statistical tests and models readily available; however, 它不是为处理数据库中的数据检索而设计的.
SQL developers excel at performing data extraction, manipulating database structures, and conducting basic analysis and data cleaning, as SQL is designed for managing and manipulating structured data within relational databases.
In short, R工程师完成数据分析需求,而SQL专家专注于数据的准备和处理. In many data-intensive projects, 这些技能通常是互补的:用SQL检索和清理的数据可以使用R进行分析和可视化. 为了理解查询,SQL的基本知识对R开发人员很有用. 招聘经理通常会同时寻找这两种类型的工程师,或者寻找精通SQL和R的候选人.
R Programming vs. R Data Analysis: Which do you need for your business?
考虑哪些R技能更适合你的项目, programming or data analysis. Both specializations can add value to a business, each with a slightly different use case:
R programming is essential for developing custom functions, scripts, and applications, and integrating R with other tools. 当企业需要创建新的算法时,这一点至关重要, build custom analytical tools, or automate data-related tasks.
R data analysis Best服务于需要对大型数据集进行深入分析的工作, statistical modeling, predictive analytics, and data-driven decision-making.
By administering exercises, you can check an R programming candidate’s ability to code. 您可以通过候选人如何处理样本数据集来评估R数据分析技能. Additionally, you can request past data analysis or programming projects to provide insight into the candidate’s ability to execute a task.
Choosing Between Junior and Senior Talent
最后,你必须决定是投资高级人才还是初级人才. 这个决定取决于项目的复杂性和紧迫性. Junior engineers are typically sufficient for less complex or lower-stakes projects where the learning curve is lower and the data is well structured. On the other hand, senior developers are necessary for tasks that require specialized skills and a deep understanding of the subject matter; they can handle complex problems and build innovative solutions with minimal supervision. 当数据不容易获得或分析需要高级工具时,高级人才是理想的选择 scraping, ML algorithms, or interactive dashboards. 公司应该仔细评估他们的项目需求, complexity, 以及权衡雇用高级人才和初级人才的利弊的紧迫性.
如何为您的项目编写R开发人员职位描述
职位描述最重要的方面是清楚地说明你的需求和项目要求. When considering R developers for hire, 你可以根据自己的目标选择不同的专业技能:
Focus Area
Commonly Required Skills
Reporting
ggplot2, Highcharts, R Markdown
Data wrangling
dplyr, Tidyverse
ML or deep learning
caret, Keras
Interactive dashboards
Shiny
你也可以写一些关于公司和职位的重要信息:
The industry and the source of your data
The insights you are trying to extract
The technology stack used
The level of expertise you seek
角色位置和类型(远程开发人员或现场工程师)
Sharing these details allows candidates to evaluate whether their skills match your current goals and gets you one step closer to your ideal engineering team.
R开发人员面试中最重要的问题是什么?
Preparing thoughtful R interview questions will help you assess a candidate’s proficiency in R and their ability to deal with the daily challenges of their project work. 你可以从一些问题开始,这些问题旨在衡量候选人在工作环境中对R语言的熟悉程度:
What is your experience with R’s package ecosystem? 您是如何使用库来扩展语言的功能的?
Can you speak to a few examples of projects where you have performed data visualization in R?
Are you familiar with Shiny? Can you describe previous dashboards you have built?
Candidates should be familiar—and have real-world experience—with the common packages, such as Tidyverse, required for R engineers to conduct data analyses. In addition, they should be well equipped to compose good visualizations; experienced candidates may detail the visualization tools they have used, such as Plotly or Tidyverse’s ggplot2. However, 这些工具没有应聘者构建简单且可解释的图表的能力重要. Finally, 如果您希望在仪表板中实现高度交互的可视化, make sure that the candidate is familiar with Shiny.
Next, 你应该在与你的项目相关的更复杂的话题上试探候选人, such as data formatting requirements, integrations, and advanced R techniques:
Which data formats have you dealt with previously?
This question will provide insight into a candidate’s familiarity with various data types. 您不应该假设所有R程序员都对所有格式有广泛的了解. 它们通常专注于某种格式,如文本、音频或图像. Identify the type of data available for your project in advance so that you can better filter for the specialized data experts you need.
What is your experience integrating R with other languages and tools, such as Python or SQL? How do you handle integrations in your workflow?
候选人的回答应该反映出与R有很强的互补能力. 例如,SQL对于大多数数据分析人员的日常活动是必不可少的. 理解Python是一个很大的好处,因为它扩展了候选人的能力,包括重复的数据操作, scripting, AI/ML tasks, and more general software development tasks.
Can you describe advanced R applications and techniques that bring value to businesses?
This question is most important when hiring senior developers who influence the direction of your project and architects who make impactful decisions. These candidates can handle complex tasks, improve organizational efficiency, and drive business innovation. 他们应该能够说明使用高级R技术的好处, such as optimized performance and innovation or the ability to handle large data sets.
高级R应用程序和技术包括ML算法, high-performance computing for handling large datasets, web scraping and API integration, 以及用于交互式web应用程序的Shiny应用程序开发. 为了运用这些策略,应试者必须精通诸如 caret (for ML), data.table (for large data sets), TensorFlow (用于深度学习)和Shiny(用于交互式仪表板).
Across all industries, the rise of data-driven decision-making mandates sophisticated data visualization and reporting—two areas where R excels. This is where R experts add value to businesses. R engineers contribute to the discovery and analysis of crucial information in various ways, including:
Identifying hidden patterns.
应用统计软件概念和假设检验.
Visualizing data effectively.
Cleaning and manipulating data.
Creating automatic and interactive reports.
Presenting results clearly.
R programmers can smoothly adapt to the specific needs of various industries due to the breadth of tools available to help them synthesize different types of information. With this guidance, 您可以确定并雇用具有符合您项目需求的技能和图书馆知识的R专家, 给你一个竞争优势,推动你的项目走向成功.