Synnax
  • Synnax
    • Introduction
    • Credit Intelligence
      • Credit Signals
      • R-Score
      • Predictive Ratio Descriptions
      • List of Financial Indicators
    • For Borrowers
    • For Lenders
    • For Data Scientists
  • SYNAI
    • Introduction
  • Synnax Lab
    • Introduction
    • Data Science Competitions
      • Synnax Datathon 1
        • Description
        • Evaluation
        • Prizes
        • Datasets
        • Rules
      • Synnax Datathon 2
        • Description
        • Evaluation
        • Prizes
        • Datasets
        • Rules
      • Synnax Datathon 3
        • Description
        • Evaluation
        • Prizes
        • Datasets
        • Rules
      • Past Competition Results
      • Synnax Lab Points
      • Performance Validation
    • Synnax Beta
      • Contributors Onboarding
        • How to become a Contributor
        • Track your performance
        • Payouts
        • Public company reporting frequency
      • Private Entities Onboarding
        • Industry / Sector
        • Uploading Data to Synnax
  • Gaal AI Agent
    • Introduction
  • SynQuest
    • Introduction
  • Careers
    • Lead Backend Engineer (TypeScript)
    • UX/UI Designer
  • SynQuest Mini App
  • Synnax on X
  • Gaal on X
  • SynQuest on X
  • Synnaxians TG Group
  • Gaal on TG
  • SynQuest TG Channel
  • LinkedIn
  • Medium
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  • Earn an Extra Data Science Salary - in Your Own Time
  • Earn with Synnax Lab: synnax.app/lab
  1. Synnax

For Data Scientists

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Last updated 7 months ago

Earn an Extra Data Science Salary - in Your Own Time

Data Scientists from around the world come to Synnax to participate in solving the hardest problems in finance, and to earn a share of the company's revenue for their expert contribution and model accuracy.

Just like Uber drivers select when and where to work, Synnax Data Scientists select which industries, sectors and companies they want to analyze. They build and train exceptional machine learning models, using Synnax's meticulously crafted training datasets.

Participating on Synnax is, however, more rewarding than getting a passenger from A to B. The most successful Data Scientists will earn revenue shares in excess of the average data science salary, and compete amongst the best in the world to top the Synnax leaderboard, and attain Synnax Grandmaster status.

The input from Data Scientists is much like participation in a Kaggle competition: there is a labeled dataset, an objective, a scoring function, and a leaderboard.

The goal is to build the most accurate model.

Earn with Synnax Lab:

synnax.app/lab