Senior Data Scientist — Real-Time ML & Production (Remote)

Jobgether SRL; Schweiz; À distance; CHF 127 000 - 171 000; Plein temps

Avantages offerts par ce poste

Fully remote

Global team

Competitive compensation

Résumé du poste

Jobgether SRL is seeking a Senior Data Scientist based in Switzerland for a fully remote role focused on high‑volume real-time identification platforms. You will work with noisy, unlabeled data to create advanced ML approaches, spanning research to production deployment and real-time service integration.

You’ll lead end‑to‑end DS initiatives, shape engineering practices, and collaborate across teams in a distributed international environment.

Qualifications

• 5+ years in machine learning, data science and backend engineering.
• Strong fundamentals in ML and statistics.
• Experience with supervised, semi-supervised and unsupervised learning.
• Proven real-time ML services development and model-to-service integration.
• Excellent coding and software engineering skills, including SQL and CI/CD.

Responsabilités

• Develop data-driven algorithms on noisy unlabeled data to improve browser and device identification.
• Design experiments for real-time inference and model-service integration.
• Own DS initiatives end-to-end from research to production deployment.
• Collaborate with data science and engineering to productionize ML concepts.
• Participate in a shared on-call rotation with advance scheduling.

Connaissances

Machine learning

Backend development

SQL

Go

Python

Git CI/CD

Communication

English fluent

Formation

Advanced degree in a relevant field

Outils

ClickHouse

Snowflake

BigQuery

dbt

Superset/Looker/Tableau

Pinecone/FAISS/Qdrant

AWS

Description du poste

Jobgether SRL is seeking a Senior Data Scientist based in Switzerland for a fully remote role focused on high‑volume real-time identification platforms. You will work with noisy, unlabeled data to create advanced ML approaches, spanning research to production deployment and real-time service integration.

You’ll lead end‑to‑end DS initiatives, shape engineering practices, and collaborate across teams in a distributed international environment.