Hire remote data scientists near Toronto or in a similar time zone
Fernando Ferrer
Freelance Data Scientist
Fernando is a data engineer and SQL expert with domain knowledge in finance and healthcare. He's created companies and data systems for some well-known entities such as the Olympics Committee and Queen's University. Fernando's work in the medical research field was pivotal in obtaining over $50 million in investment, and he also co-founded an innovative DaaS healthcare company that was later acquired by a multibillion-dollar conglomerate.
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Metti Paak
Freelance Data Scientist
Metti is a data scientist and machine learning expert who has extensive experience in software development and mathematical/statistical modeling. He has worked in the aerospace, manufacturing, and healthcare industries developing custom, data-driven predictive software tools. He is proficient in translating business goals into data products and architecting the entire pipeline to the point of delivery. His work has led to multiple patents, publications, and successful fundraising.
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Robert Tan
Freelance Data Scientist
Robert has experience working with clients in the United States, Canada, Qatar, Jamaica, UAE, and the UK. He develops interactive data applications and excels at data harvesting, cleaning, and visualization. He leads projects with the utmost professionalism and care. Past clients include an international airport, and two property management firms with a combined AUM of $54 billion.
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Mehdi Ghasemi
Freelance Data Scientist
Mehdi is a mathematician and scientific programmer who specializes in applied math and very abstract concepts. His scientific background is rooted in optimization, geometry, and computations, and he has been working as a data scientist for years now, building statistical and machine learning models.
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Jonathan Rhone
Freelance Data Scientist
Jonathan is a full-stack engineer who's as comfortable working on large-scale distributed systems as he is on client-facing single-page web apps. Jon also excels at working with big data, and has frequently worked on a petabyte scale.
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Byron Formwalt
Freelance Data Scientist
Byron has 20 years of experience in highly technical algorithm development. He holds a PhD in electrical engineering and offers extensive knowledge of machine learning and video/image processing. Byron also has Toptal specializations in AI and data science. His skillset includes full-stack iOS and macOS desktop application development.
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Dwight Dale Cummings, M.Sc.
Freelance Data Scientist
After a successful career developing Oracle applications, Dwight returned to his first love (AI programming) and retooled himself as a Python expert and data scientist. He further honed his skills by developing PyOraEBS (an SQLAlchemy-based Python framework) and by serving as a Python data science expert in the field of algorithmic trading. Dwight is living his dream by doing what he loves and interfacing with diverse people and cultures.
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Darin Erat Sleiter
Freelance Data Scientist
Darin is a data scientist and engineer with a PhD in physics from Stanford. He's passionate about data and machine learning and has worked on data science projects across numerous industries and applications. Darin's co-founded an AI company and led a team of data scientists to build a product which uses machine learning and optimization techniques to reduce energy consumption in data centers. He's eagerly waiting for quantum computers.
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Paul W Evans
Freelance Data Scientist
Paul has spent all ten years of his career in data. Data automation, process, warehousing, analytics, and business intelligence are just some of the many roles Paul has filled to help companies improve and even get to the cutting edge. Want to reduce your reliance on Excel? Paul is your guy. Most jobs he has held has been very outward customer-facing, so he's always looking out for clients' best interests and is conscientious of their needs.
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Matthew Alhonte
Freelance Data Scientist
Matt has officially worked as a Python-based data scientist for the past six years; however, he's spent the last ten at the intersection of stats and programming (before the term data scientist had caught on). He combines strong technical skills with a rigorous background in experiment design and statistical inference. More recently, he's been focusing on machine learning, including some natural language processing and computer vision.
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