| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Braintrust | San Francisco, CA, United States |
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Open Web Collective | United States | $45k - $80k | |||
Okcoin | San Jose, CA, United States |
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Okcoin | San Jose, CA, United States |
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| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
InfiniteWorld | Miami, FL, United States |
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Ava Labs | New York, NY, United States | $32k - $60k | |||
Ava Labs | New York, NY, United States |
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Braintrust | San Francisco, CA, United States |
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Ava Labs | New York, NY, United States | $72k - $87k | |||
Ripple | New York, NY, United States | $72k - $100k | |||
Teller Finance | San Francisco, CA, United States | $40k - $60k | |||
Intercare Therapy | United States |
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VaynerMedia LLC | New York, NY, United States |
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GSR | New York, NY, United States |
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Baby Doge | United States | $0k |
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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