Braintrust is hiring a
Web3 Data Scientist [Remote]

CA San Francisco, California, United States

  • JOB TYPE: Freelance, Contract Position (no agencies/C2C - see notes below)
  • LOCATION: Remote - Global, Work from anywhere
  • HOURLY RANGE: Our client is looking to pay $90 – $110/hr
  • ESTIMATED DURATION: 40h/week - Long-term


What you’ll be working on

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.


•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


•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)

•M.B.A. when combined with advanced quantitative degree is highly regarded but not a prerequisite

•Prior academic or industry research experience is highly regarded but not a prerequisite

•Prior exposure to financial services or insurance industry may be helpful but is not a prerequisite

•Experience in CX, marketing, and digital marketing

Top Skills

Scala | Python | Java

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