Data Scientist
Flux Engineering · Czech Republic
- Type: part time
- Location: worldwide
- Compensation: USD 92812–171365
- Timezone: UTC-5
About the role
About the Role
We are looking for a talented Data Scientist.
Requirements
- MongoDB - WebSocket - Swift - Firebase - 8+ years experience - Remote-first mindset
Benefits
- Competitive salary - Flexible hours - Remote culture - Dev budget - Health insurance
What You Will Do As a Data Scientist, you will architect and implement data pipelines that leverage MongoDB for robust data storage and retrieval. You will develop real-time data processing solutions, integrating WebSocket technology to ensure immediate data flow and responsiveness. Your work will involve building and optimizing machine learning models, potentially utilizing Swift for client-side data analysis or feature engineering, and integrating these models with Firebase for scalable deployment and backend logic.
Why Join Us Join a dynamic, globally distributed team focused on innovating at the intersection of data science and cutting-edge mobile technologies. We foster an environment of continuous learning and encourage you to explore new approaches to data challenges. This part-time remote role offers the flexibility to work from anywhere in the world, with a competitive salary and the opportunity to make a significant impact on our evolving product.
Who You Are You are a curious and proactive Data Scientist with a knack for turning complex data into actionable insights. You are comfortable diving deep into data structures, demonstrating proficiency with NoSQL databases like MongoDB and effectively implementing real-time communication protocols such as WebSocket. Your experience with mobile development ecosystems, including Swift and Firebase, allows you to bridge the gap between backend data science and user-facing applications.
Required skills
- MongoDB
- WebSocket
- Swift
- Firebase
About Flux Engineering
Flux Engineering builds innovative food tech solutions for global teams.