Hire remote data scientists near Berlin or in a similar time zone
Ricardo Basto
Ricardo has been coding for over 20 years, having worked on projects in more than 10 programming languages. He has co-founded companies, worked in a few successful startups as CTO, and managed distributed teams of developers and product designers. Ricardo's recent work has ranged from data science and machine learning to high-performing web and mobile applications, including Web3 and crypto.
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Sebastián Castaño
Sebastián has a PhD in machine learning and data science and a decade of experience in interdisciplinary projects in medicine, banking, marketing, and consumer products, among others. His expertise includes designing data collection systems, analyzing and modeling complex data, and developing and deploying ML pipelines. As a seasoned researcher and educator, Sebastián constantly delivers compelling data-driven insights and intuitive tools for technical and non-technical colleagues.
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Elizabeth Eardley, PhD
Elizabeth is a versatile data scientist, combining a strong scientific background from postdoctoral research with six years of industry experience, including Booking.com and Skyscanner. She excels at applying scientific techniques to data to support and automate decision-making, optimize products, and uncover actionable insights. Elizabeth has conducted extensive A/B testing and built and scaled multiple online experimentation platforms and optimization programs.
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Timo Klock
Timo is a full-stack data scientist with eight years of professional experience in data-heavy applications and a PhD in machine learning and statistics. He can work in different roles on the data lifecycle in industrial applications as a data engineer, data scientist, ML engineer, or data analyst. Timo is experienced with Python and SQL, and many modern data frameworks.
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Henrik Sergoyan
Henrik is a data scientist with over six years of professional experience. His primary expertise includes and is not limited to natural language processing, forecasting algorithms, gradient boosting algorithms for tabular data, data scraping, and machine learning operations (MLOps). As a senior data scientist, Henrik works with SQL and NoSQL databases, including MongoDB, and brings strong project management skills and excellence to his work.
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Tomasz Zielański
Tomasz is a data engineer with five years of industry experience. He specializes in engineering data pipelines, and he has significant experience in reporting and using machine learning for analytics in banking and fintech. Tomasz excels at using data to solve business challenges, and he often finds that data engineering is the most significant part of a data solution.
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Demetrio Rodriguez
Demetrio is an experienced data scientist who's comfortable with the entire data science stack. He excels at developing sophisticated machine learning models and leveraging highly tractable and robust statistical methods. Besides his technical and statistical expertise, Demetrio's presentation style and powerful visualizations effortlessly get across key takeaways of highly technical results to any audience.
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Anna Tshngryan
Anna is a data scientist with four years of experience in data analysis and machine learning. She works on end-to-end processes, from data scraping, data collection, and pre-processing, cleaning, and data visualization to predictive modeling development. She is skilled in training a number of ML models, comparing them, and conducting error analyses. Anna is looking for projects that allow her to use data and machine learning to solve complex problems.
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Sunil Kumar
Sunil's expertise lies in developing novel statistical and mathematical models for quantitative and qualitative data assessment. His primary strengths are ML, AI, big data, systems biology, and high-performance computing. He has co-authored 5+ papers in sleep science and helped develop solutions for wireless data transfer, DB management, and monitoring software lifecycle processes. Sunil is adept in overseeing research to ensure rapid development and deployment of innovative product lines.
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Nac Stoklas
Nac is a data scientist who builds efficient ML and data pipelines. He is experienced in developing regression and classification models, scalable data pipelines, and presenting data in a way that offers the most insight. He has judged ML competitions and has participated in hackathons while helping host them. The wide range of projects Nac has worked on helps him understand his clients' needs, exceeding their expectations.
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Daniel Coderre
Daniel is an experienced data professional with a decade of experience in building analytical systems. He is happiest working on the full stack, from engineering storage systems and processing pipelines to data analysis, presentation, and building front-end dashboards. For the past several years, Daniel has been heavily into machine learning (ML) and has applied it to create value from real-world data. He has a PhD in experimental physics, so ML is not the only tool in his toolbox.
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