578 jobs found
| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Braintrust | San Francisco, CA, United States |
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Braintrust | San Francisco, CA, United States |
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The Block | Remote | $91k - $156k | |||
Consensys | Remote | $105k - $111k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Virtually Human Studio | Australia | $81k - $100k | |||
Pocket Worlds | Barcelona, Spain |
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Messari | remote | $91k - $156k | |||
Pocket Worlds | Warsaw, Poland | $91k - $96k | |||
Pocket Worlds | London, United Kingdom | $91k - $96k | |||
Pocket Worlds | Remote | $105k - $111k | |||
Pocket Worlds | Lisbon, Portugal | $91k - $96k | |||
Messari | remote | $91k - $96k | |||
Metallicus | Remote | $91k - $156k | |||
Pocket Worlds | Remote | $91k - $96k | |||
Binance | London, United Kingdom |
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This job is closed
THE OPPORTUNITY
Our client is looking for a Data Scientist to join their diverse team of Engineers, Economists, Computer Scientists, Mathematicians, Physicists, Statisticians and Actuaries tasked with mining their industry-leading internal data to develop new analytics capabilities for their businesses.
The role requires a rare combination of sophisticated analytical expertise; business acumen; strategic mindset; client relationship skills, project management; and a passion for generating business impact.
Responsibilities:
• Develop and maintain consultative relationships with key business stakeholders
• Identify, source, transform and join public, proprietary and internal data sources
• Model large structured and unstructured data sources (e.g. financial transactional, time-series, text, speech/audio and image)
• Implement advanced statistical methods for prediction and optimization including a wide variety of machine learning technologies (logit, regression, decision trees/forests, boosted models, clustering, etc.) for purposes including explorative analysis, survival analysis, segmentation, prediction and recommendation systems
• Perform analysis and implement solutions that maximize business impact
• Prepare and present written and verbal reports to key stakeholders
• Some domestic travel may be required
• Execute all aspects of an advanced analytical project under guidance
Qualifications:
• Advanced degree (Masters or Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines
• Master’s degree graduates should additionally have at least two years of industry experience with responsibility for developing advanced quantitative, analytical, statistical solutions
• Hands-on experience applying a wide variety of statistical machine learning techniques to real world problems spanning analysis, predictive modeling and optimization on structured and unstructured data
• Experience using tools such as Python, R, or equivalent for statistical modeling of large data sets
• Well-developed written and oral communication skills with ability to present complex statistical concepts to non-analytical stakeholders (Excel, Word and PowerPoint are a must)
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