Data Scientist
Experienced Data Scientist wanted to build decentralized credit analysis and rating system
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Edit ArticleWe are looking for experienced data scientists to help us on our mission. If you want to be a part of a meaningful decentralization movement, if you enjoy solving complex problems, and if you translate your solutions into beautiful Python ML models, this offer is for you.
As a Data Scientist, you will
You will be utilizing your expertise in Python, R, SQL, and machine learning libraries to prepare datasets for the community, develop sample and production-ready forecasting models, and create guiding articles to onboard new data scientists.
Additionally, you will be responsible for setting up and managing machine learning competitions and sharing your knowledge with your colleagues. As one of the early contributors, you will play a vital role in shaping the future of Synnax and helping to establish its community from the ground up.
Our company culture highly values self-direction and leadership, and we encourage all of our engineers to contribute towards achieving our common goals. To excel in this role, you must have a thorough understanding of our products and be able to work collaboratively with other team members.
Hard Requirements
- Advanced proficiency with Python. Professional experience with Python, R, SQL, and various machine learning libraries (i.e.: TensorFlow, Scikit-learn, PyTorch)
- Proven expertise in ML/AI cycle (data preparation, model training, testing, optimization) with a track record of successful projects
- Able to work asynchronously and self-directed. Be able to clearly express and document your ideas, problems, and solutions. Define and plan your work to help us achieve our common goals.
How to Apply
We’re not looking for a typical CV or overly formal cover letter. Instead, share real stories about your experiences, interests, previous projects, and your achievements.