Remote Data Scientist in Plymouth
Role details
Job location
Tech stack
Requirements
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3+ years of experience in data/product analytics \n
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BS in Computer Science, Engineering, Statistics, or related field \n
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Design and maintain data collection processes and event storage systems \n
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Conduct research to identify patterns, trends, and growth opportunities \n
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Experience creating intuitive dashboards and data visualisations for internal teams and external partners \n
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Excellent communication skills with ability to present complex findings to diverse stakeholders, * Proficiency in creating data visualizations and building analytical dashboards (Mixpanel, Metabase)
Benefits & conditions
Job Description\n \n \n \n 1inch is the DeFi ecosystem building financial freedom for everyone. 1inch products help users and builders trade, hold and track digital assets - with the self-custody, comprehensive security and the intuitive user experience they need to unlock the potential of true crypto ownership. 1inch protocols and APIs provide core infrastructure across the DeFi industry and beyond.\n \n \n \n \n \n So if you're someone who thinks big, moves fast and wants to make an impact right from day one, then get ready to join our industry-changing team.\n \n \n \n \n \n Location: We prioritise candidates who are based in Dubai then consider those working remotely in one of our European Hub Locations (UK, Spain or Germany).\n \n \n \n \n \n \n \n \n We are seeking a talented Data Scientist with focus on product analytics to join our Data & Analytics team and drive data-driven decision making across our organisation. In this role, you will analyse complex datasets, conduct research, and provide valuable insights to support product strategy and business growth. You must have Data Science experience.\n \n \n \n \n Key Responsibilities\n \n
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Analyse and interpret large-scale on-chain and off-chain datasets to inform business decisions \n
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Design and maintain data collection processes and event storage systems \n
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Conduct research to identify patterns, trends, and growth opportunities \n
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Create intuitive dashboards and data visualisations for internal teams and external partners \n
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Propose and test hypotheses with empirical evidence \n
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Monitor and evaluate product metrics and user behaviour patterns \n
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Present findings and recommendations to stakeholder \n
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