Hire the Top 3% of R Developers in 48 Hours

Thomas has 17 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.

Rosa is a full-stack developer and data scientist with a PhD, solid research skills, and extensive software engineering experience. Combining the academy and industry approaches to data sciences, she can contribute to the whole data pipeline—from exploratory data analysis to prototyping and production. Rosa has also efficiently worked on projects across different countries using her professional English, Italian, German, and Spanish proficiency.

Nicolas is an expert data scientist with over 24 years of experience using programming languages, including R and Python, to design and develop AI/ML data products, combined with strong practice leadership and people management skills. Nicolas is a published author and thought leader with a vast track record of success in implementing new and innovative ways of achieving the most scalable, data-centric outcomes to drive new business while promoting a consultative and collaborative environment.

Pavel is a data scientist specializing in Bayesian methods. He has a master's degree in computational linguistics and a PhD from Potsdam University in Germany. Pavel has over 10 years of experience in statistical data analysis and data science, having worked in sectors as diverse as pricing, psychology, finance, education, health, eCommerce, SEO, and betting markets.

Simon is a data scientist with experience in deep learning, machine learning, statistics, big data, and method development. Over his career, he has worked in various fields, including adtech, molecular biology, telecommunication networks, and hardware reliability. Simon has built predictive machine learning systems, reporting dashboards, and in-depth analytical reports, ranging from small datasets to systems operating in real time with thousands of requests per second.

Yilong is a seasoned data scientist specialized in oncology and cancer genomics research. He completed his bioinformatics PhD at the University of Cambridge and has several publications in top scientific journals such as Nature, Science and Cell. After that, he worked in various R&D roles in the industry, focusing on genomics algorithm development, bioinformatics data analysis, and machine learning. Yilong follows best programming practices in his coding and data science projects.

Saratorn is a real solution provider using data analytics. He has worked on several data analytics and data science assignments for the past three years. Saratorn's notable projects include a product recommendation and recategorization for a retailer, credit scoring for a bank, and a coupon distribution optimizer for a food delivery platform.

Leonardo is a machine learning engineer with 10 years of industry experience across the government, energy markets, finance, healthcare, and consulting. Leonardo is well versed in work with analytics, data engineering, and machine learning, specializing in the development and deployment of AI systems for computer vision, NLP, and recommender systems.

Pengrui is a data engineer with over six years of experience. He is also a full-stack software engineer working remotely with English-speaking team members. He specializes in hedge funds, builds data platforms for quantitative trading, and leads projects in different environments and languages. Pengrui joined Toptal because he enjoys freelancing and wants to work on the best projects.

Narayan is a data scientist with 10+ years of experience in statistical modeling, NLP, ML, deep learning, AI, and GenAI. He's experienced in deploying ML solutions across the healthcare, retail, supply chain, telecom, and eCommerce domains. Narayan has been designing, developing, and deploying data science solutions using Python and R since 2011. He's an expert in supervised and unsupervised ML, regression, classification, forecasting, reinforcement learning, GANs, and Keras.

David is an experienced data scientist and software and algorithm developer, passionate about new technologies. He started coding when he was eight and has never stopped evolving his tech skills. He has a solid background in .NET, Java, Python, R, and C++ and has proven expertise in machine learning and data analysis. Despite being a self-driven and autodidact professional, David believes the most significant achievements are made in collaborative environments.