Fintech data science freelance
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Description
Experience Level: Expert
We are a leading FinTech company passionate about changing the world with science and intelligence, looking for exceptional people to join us in that mission.
The ideal freelancer has designed, implemented and optimized trading, analytical or business intelligence algorithms and systems. They are hands-on and love learning new skills along the way. You will be joining one of the most elite data science and engineering teams globally: several of us have worked at other leading software companies and start-ups before joining the team.
3+ years of experience using deep learning in an applied setting. Master’s or PhD in a related field such as CS, Machine Learning, Statistics, Physics, etc.
Professional experience in fields like Natural Language Processing (NLP), Deep Neural Networks, Machine Learning, Computer Vision, Speech Recognition and Classifiers.
Must be able to write clean and concise code in at least 1(one) of the following: Python, Java/Scala, JavaScript/NodeJs, C++, GO.
Familiarity with A/B testing and the Hadoop ecosystem is a big plus.
Bonus is knowledge of GPU and distributed computing, distributed caches, Apache Ignite, Hazelcast, IBM Symphony.
Curiosity of algorithms behind recommendation systems, interest graphs, ad targeting models, trend analysis, and fraud/anomaly detection using online and offline features. A big part of the role is to be able to ask open-ended questions, explore new ideas, and choose appropriate techniques for solving a given problem, rather than using packages as a black box to a known problem.
The ideal freelancer has designed, implemented and optimized trading, analytical or business intelligence algorithms and systems. They are hands-on and love learning new skills along the way. You will be joining one of the most elite data science and engineering teams globally: several of us have worked at other leading software companies and start-ups before joining the team.
3+ years of experience using deep learning in an applied setting. Master’s or PhD in a related field such as CS, Machine Learning, Statistics, Physics, etc.
Professional experience in fields like Natural Language Processing (NLP), Deep Neural Networks, Machine Learning, Computer Vision, Speech Recognition and Classifiers.
Must be able to write clean and concise code in at least 1(one) of the following: Python, Java/Scala, JavaScript/NodeJs, C++, GO.
Familiarity with A/B testing and the Hadoop ecosystem is a big plus.
Bonus is knowledge of GPU and distributed computing, distributed caches, Apache Ignite, Hazelcast, IBM Symphony.
Curiosity of algorithms behind recommendation systems, interest graphs, ad targeting models, trend analysis, and fraud/anomaly detection using online and offline features. A big part of the role is to be able to ask open-ended questions, explore new ideas, and choose appropriate techniques for solving a given problem, rather than using packages as a black box to a known problem.
Ivan K.
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Last project
25 Apr 2024
United States
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