Java Web3 Jobs in North America

1,160 jobs found

web3.career is now part of the Bondex Logo Bondex Ecosystem

Receive emails of Java Web3 Jobs in North America
Job Position Company Posted Location Salary Tags

Braintrust

San Francisco, CA, United States

Ripple

Toronto, Canada

$32k - $72k

BCGDV Alumni Referrals

Chicago, IL, United States

$98k - $108k

Masa Finance

San Francisco, CA, United States

$170k - $200k

Okcoin

San Jose, CA, United States

$45k - $75k

Aquanow

Vancouver, Canada

$30k - $72k

Stardust

Palo Alto, CA, United States

$36k - $54k

Messari

New York, NY, United States

$135k - $155k

Mythical Games

Los Angeles, CA, United States

$45k - $100k

Ripple

San Francisco, CA, United States

$45k - $92k

Ripple

Miami, FL, United States

$43k - $75k

Ripple

Toronto, Canada

$43k - $75k

Ripple

San Francisco, CA, United States

$43k - $75k

Stellar Development Foundation

Toronto, Canada

$45k - $90k

Stellar Development Foundation

San Francisco, CA, United States

$45k - $90k

Data Scientist [Remote]

Braintrust

This job is closed

  • 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

THE OPPORTUNITY

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.

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)

•Top Skills

Scala | Python | Java

Apply Now!

#PL-BT #LI-BT