Toptal is a marketplace for top remote data scientists. Top companies and start-ups in Birmingham choose Toptal Data Science freelancers for their mission-critical initiatives.
We've been blown away by the level of talent we've been able to hire through Toptal.
Data Scientist
Keyvis uses statistics and mathematics to discover valuable information by identifying, testing, and verifying relationships between all the factors influen...cing your business. This process unveils the nuances to the "lay of the land" when it comes to the costs, operations, or customer sentiment that your organization must work with. From there, you both can discover the impact of actions and design strategies around your organization's goals.
Data Scientist
Isaac has experience developing and deploying machine learning solutions to problems across various domains including computer vision, signal processing, fa...ilure prediction, time series forecasting, network security, natural language processing, and 3D reconstruction. Isaac has worked in both small and large organizations and has led projects from idealization to product deployment.
Data Scientist
Eva is a skilled back-end developer and machine learning engineer with experience in scalability issues, system administration, and more. She has a flair fo...r well-structured, readable, and maintainable applications and excellent knowledge of Python, Ruby, and Go. She is a quick learner and has worked in teams of all sizes.
Data Scientist
Mehdi is a mathematician and scientific programmer who specializes in applied math and very abstract concepts. His scientific background is rooted in optimi...zation, geometry, and computations, and he has been working as a data scientist for years now, building statistical and machine learning models.
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 e...xcels at working with big data, and has frequently worked on a petabyte scale.
Data Scientist
Katia has worked for twelve years as an engineer, hands-on engineering manager, and consultant. She has worked at companies of all sizes, from tiny two-pers...on startups to major enterprises including Groupon and Microsoft. She specializes in data processing, data-related algorithms, searching, and machine learning, but she has worked up and down the whole stack.
Data Scientist
With a PhD in Computer Science from the University of Michigan, Azarias has worked at large tech companies like LinkedIn and Microsoft, and has led two star...tups as CTO. His technical expertise is web development and machine learning in Python. He has built large-scale web applications (primarily with Django), worked on many data science projects, and managed teams of engineers. His favorite projects combine web development with data engineering.
Data Scientist
Brian has over 15 years of experience as a full-stack developer, including creating a #1 iOS game in 2008 and scaling Yahoo! ad servers. Brian's strengths a...re adaptability, clear communication, and a relentless focus on the details that get projects shipped.
Data Scientist
Matt has worked on everything from web development in .NET and embedded development in C to low-level Windows development, rich client development in JavaSc...ript using EmberJS, web applications in Go, and mobile applications in iOS. He is very quality-focused and gets things done efficiently. As a startup veteran, he knows how to start from nothing and build impossible things on impossible schedules.
Data Scientist
Byron has twenty years of experience in highly technical algorithm development. He holds a PhD in electrical engineering and offers extensive knowledge of m...achine 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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Data warehouses aren’t exactly a new concept, but industry demand for data science services, coupled with the rise of AI and machine learning, is making them more relevant than ever. In this post, Toptal Data Warehouse Developer Chamitha Wanaguru outlines three basic principles you need to keep in mind when developing a new data warehouse.
The Protein Data Bank (PDB) bioinformatics database is the world's largest repository of experimentally-determined structures of proteins, nucleic acids, and complex assemblies. All data is gathered using experimental methods such as X-ray, spectroscopy, crystallography, NMR, etc. This article explains how to extract, filter, and clean data from the PDB to make it suitable for further analysis.
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