Remote Scala Jobs in Web3

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Job Position Company Posted Location Salary Tags

Braintrust

San Francisco, CA, United States

Braintrust

San Francisco, CA, United States

$98k - $105k

Braintrust

San Francisco, CA, United States

Braintrust

San Francisco, CA, United States

$30k - $67k

Space and Time

Remote

$30k - $60k

Parallel Finance

remote

$32k - $60k

cheqd

United Kingdom

$69k - $86k

Crypto.com

remote

$30k - $80k

UBIRCH

Remote

$50k - $90k

SuperRare Labs

New York, NY, United States

$72k - $75k

SuperRare Labs

New York, NY, United States

$36k - $54k

UBIRCH

Remote

$50k - $90k

UBIRCH

Remote

$50k - $90k

Axoni

Remote

$72k - $80k

UBIRCH

Remote

$50k - $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!

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