| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Braintrust | San Francisco, CA, United States |
| |||
Braintrust | San Francisco, CA, United States |
| |||
Symbiont | remote |
| |||
Hike | Delhi, India | $81k - $84k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
BitGo | Remote | $11k - $73k | |||
LATOKEN | Remote | $30k - $80k | |||
Masa Finance | San Francisco, CA, United States | $170k - $200k | |||
Binance | Berlin, Germany |
| |||
CoinMarketCap (CMC) | $32k - $72k | ||||
Braintrust | San Francisco, CA, United States | $27k - $54k | |||
Kava Labs | San Francisco, CA, United States | $105k - $120k | |||
Binance | Remote |
| |||
Braintrust | San Francisco, CA, United States | $39k - $75k | |||
Braintrust | San Francisco, CA, United States | $72k - $90k | |||
Aurory | Remote | $84k - $90k |
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)
•
