Hire remote R developers near NYC or in a similar time zone
Dev Sharma
Dev is a versatile data scientist and developer who specializes in building predictive AI models that are exceptionally accurate. He focuses on using statistics, deep learning, and data engineering to strategize and optimize the role of data within organizations. Dev's expertise and hands-on experience are backed by a master's degree in applied analytics from Columbia University in New York City, where he also teaches almost all facets of data science at the graduate level.
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Andrew Tilley
Andrew has nearly 10 years of experience deploying predictive algorithms and end-to-end data solutions, increasing his companies' net revenue by tens of millions of dollars. His technical acumen, combined with deep communication skills to both technical and non-technical colleagues, ensures he has a broad impact across teams who work with him. Whether the end result is a data product or a detailed analysis, Andrew relishes the opportunity to solve business problems with machine learning.
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Juan José Leitón Montero
Juan is a data scientist and developer with ten years of industry experience and a master's degree in statistics. During his career, Juan has been focusing on renewable energy, climate projections, and creating academic courses. Juan believes in continuous education and is working toward a master's degree in applied mathematics at the University of Costa Rica, where he teaches statistics and engineering to graduate students.
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Matthew de Marte
Matthew is a data scientist who has worked primarily in professional baseball, an incredibly fast-paced and demanding industry. He has utilized R and SQL databases with strengths relying on machine learning and predictive modeling to provide better data-driven decisions. Matthew is a fantastic problem solver with a data science skill set that can communicate technical findings to non-technical audiences.
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Robert Pehlman
Robert is a seasoned data scientist and has worked for Mastercard, United Healthcare, and currently, Google, where he supports the Google News app. He was also a PhD student in statistics at North Carolina State University while researching causal inference, reinforcement learning, and functional data analysis. Robert's passion is solving challenging data problems by building scalable models and engineering new features to improve model performance.
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Robert Tan
Robert has extensive data science and AI experience in the technology sector. He's worked with clients in the United States, Canada, Qatar, Jamaica, UAE, and the UK. He excels at distilling complex problem spaces into clarity in data. Robert is skilled in algorithmic analysis, BI, data analysis, synthesis, data/AI products, data harvesting, cleaning, and visualization. His past clients include an international airport and two property management firms with a combined AUM of $54 billion.
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Jose Rolando Josue
Combining the technical knowledge of a bachelor's degree in business engineering with the analytical skills of a master's degree in data science, Jose has 7+ years of experience in marketing and product analytics, business intelligence, experiment design, user journeys, and understanding the nature of customer's decisions. He enjoys learning new skills, finding creative ways of solving business problems, and helping the community by teaching future professionals how to tell a story with data.
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Alex Risman
In Alex's current role, he uses artificial intelligence to automatically detect diseases in 2D and 3D medical images along with some algorithms to achieve superhuman performance. Previously, he worked as a data scientist at an eCommerce company, where he built and deployed a deep-learning-based product search engine.
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Juan Manuel Ortiz de Zarate
Currently, Juan is a PhD candidate at the University of Buenos Aires, researching the subjects of AI, NLP, and social networks. He has over a decade of professional development experience under his belt. For the last few years, he’s been immersing himself in various types of data science projects and loving every minute of it. Juan relishes taking on data problems, building prediction models, and learning state-of-the-art techniques.
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Lawrence Zhou
Lawrence is a software developer and quantitative analyst with over 12 years of experience in software development and quantitative modeling. He's worked at Citigroup, Traxis Partners, as well as co-founding a Y-Combinator funded startup. Lawrence prefers projects that use both his financial and programming backgrounds, but he also enjoys working with and analyzing data—either in analysis, visualization, or machine learning.
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François Le Lay
François is a seasoned leader with experience building data platforms and machine learning solutions at major technology companies and startups in B2C and B2B settings. François has spent seven years at Spotify building data infrastructure teams as a manager and leveraging machine learning techniques to improve the music catalog as a staff engineer.
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