Hire remote data scientists near Copenhagen or in a similar time zone
Manuel Montoya Catala
Freelance Data Scientist
Manuel is an enthusiastic senior data scientist with 3+ years of experience in consulting and a background in machine learning research. After several years of both business and academic experience, he acquired knowledge in diverse areas ranging from statistical analysis to deep learning. He is a results-oriented person with excellent communication skills. Manuel works with dynamic teams in the standard setup consisting of Python, AWS or Azure, Agile, Git, and Visual Studio.
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Nicolaj Schmit
Freelance Data Scientist
Nicolaj's passion for making sense of data led him to his career today. He creates solutions from data—building comprehensive proof-of-concept models to give the customer the relevant insights and take the models to production in the cloud. Education-wise, Nicolaj has a background in mathematics, quantitative finance, machine learning, and economics.
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Joël Raucq
Freelance Data Scientist
Joël has 19 years of international experience both in startups and corporate environments. His fields of expertise are advanced analytics (data science, AI, machine learning, optimization) and object-oriented software engineering (Python, R, Java, C++). In Joël's career, he has held both consultant and internal positions. In addition to IT and model development, he also has experience in leadership, project management, and advisory to data science team leaders.
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Mats Petter Wallander
Freelance Data Scientist
Mats Petter has 15 years industry experience developing efficient algorithms for squeezing information out of image and other sensor data, working in diverse domains such as digital pens, optical multi-touch, eye tracking, and solar energy, both using standard methods and developing new patented domain-specific algorithms.
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Artem Budishchev
Freelance Data Scientist
Artem is a data scientist with a physics background and experience in machine learning, statistics, and programming in the fintech area. Artem is passionate about predictive and explanatory statistical modeling, especially unconventional methods like deep reinforcement learning, semi-supervised learning, among others.
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Daniel Ruiz
Freelance Data Scientist
Daniel is a data scientist who enjoys leveraging machine learning to guide decisions and make companies more efficient. Holding an MSc in data science and business analytics and a BSc in economics with a heavy load of statistics and econometrics, he is always eager to learn and be challenged. Over the years, Daniel has accrued experience in different sectors, like finance, healthcare, and education, and over multiple geographies, including North America, South America, and Europe.
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Marc Matt
Freelance Data Scientist
Marc is a data engineer with a passion for data and 15+ years of experience in leading teams and building data platforms focusing on the information technology, real estate, and services industries. He created a Python-based AVRO schema generator that makes parts of a scheme reusable. Marc excels with automation, integrations, analysis, the building of models, statistics, big data, CI/CD pipelines, and data modeling.
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Hugo De Oliveira
Freelance Data Scientist
Hugo is a data scientist passionate about the opportunities offered by data and AI/ML methods for the healthcare field. Besides his strong scientific education, his business experience gives him hands-on skills in implementing data-oriented solutions. Hugo's research background provides him with autonomy, scientific curiosity, and creativity in the development of theoretical and practical solutions to complex problems.
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Alper Baspinar
Freelance Data Scientist
Alper is a data scientist and ML engineer with several years of experience working in various industries, including bioinformatics, eCommerce, digital marketing, and fintech. Client satisfaction and delivering quality results are what drive Alper (some might say he's obsessed). His projects are an ML modeling pipeline, a prototype that manages Google Ads bids, and segmentation models that use convolutional deep neural networks to categorize clothing.
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Alex Baas
Freelance Data Scientist
Alex is a problem solver and full-stack developer with more than a decade of professional software engineering experience. He specializes in building high-performance data-driven apps with scalable back ends, including microservices and serverless architecture. Alex's primary tech stack includes JavaScript, TypeScript, React, Node.js, SQL, and NoSQL. On top of solid technical expertise, he also has substantial project management experience supported by a Scrum certification and an MBA degree.
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Daniel Renz
Freelance Data Scientist
Daniel has 10+ years of experience in scientific analysis, machine learning, and programming, with a particularly strong foundation in (Bayesian) statistics. He places emphasis on rapid prototyping but can also deploy models all the way to production. His diverse background enables him to attack new problems from multiple perspectives—he has worked as an analyst, consultant, software engineer, as well as a researcher in neuroscience, biophysics, and discrete mathematics.
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