This role offers a unique opportunity for individuals seeking a dynamic and diverse workload. In this multifaceted role you will find yourself creating and maintaining a community of like-minded data science enjoyers; leveraging your skills in Python, R, SQL, and machine learning libraries; preparing datasets for the community; training sample and production-ready forecasting models; writing a library of guides, how-tos, and manuals to onboard new data scientists; setting up and managing ML competitions; sharing your expertise with colleagues. As an early contributor, you will help shape the future of Synnax and build its community from the ground up!
Requirements
- Demonstrated proficiency in Python, R, SQL, and various machine learning libraries (e.g., TensorFlow, Scikit-learn, PyTorch)
- Proven expertise in ML/AI with a track record of successful projects
- Proficiency in executing the entire ML cycle: data preparation, model training, testing, optimization, etc.
- Excellent written English for creating comprehensive technical content
IMPORTANT: Participation in Kaggle Competition
As part of your application for this position, we kindly request your participation in the following Kaggle competition: “Predict the Financial Statements of a Crypto Miner” (https://www.kaggle.com/competitions/predict-the-financial-statements-of-a-crypto-miner)
Please join the competition, make a submission, and indicate your Kaggle public profile username. This will allow us to cross-reference your application with the competition leaderboard.
Only applicants who have made a submission and appear on the leaderboard will be considered. Additionally, by entering the competition and providing a valid Ethereum address with your submission, you will be recognized as an early contributor and eligible for rewards during the inaugural airdrop of the project's token.
Good to have
- Familiarity or experience with credit scoring or financial forecasting in ML
- Experience with Zama Concrete ML framework
- Experience in data visualization
- Established network among ML specialists or active involvement in thematic social media communities
- Prior DevRel / developer advocate experience
- Experience in machine learning applications within Web 3.0 environments
About Synnax
Synnax is a web3-oriented credit intelligence company that aims to enable under- and non-collateralized lending in web3, web2, and across the web2-web3 border. We utilize a network of independent incentivised data scientists to produce credit intelligence based on the client-provided financial data. At Synnax, we prioritize privacy and use fully homomorphic encryption (FHE) to ensure privacy of all parties involved. As a fully remote team distributed across Asia, we offer an exciting and energetic startup environment.
What we offer
- Opportunity to join an exciting and energetic startup
- Fully remote work environment
- Competitive compensation package
- Early contributor incentives
This role is ideal for candidates experienced in utilizing machine learning techniques within the context of web3, and who are passionate about expanding the reach and application of data science in decentralized and distributed systems
