Research Scientist, Coordinated Networks & Information Integrity

Job Title

Job Description

TGScope is looking for a research scientist for a project-based contract of about two months, fully remote, paid by the hour.

The project: build detection of coordinated channel networks across 3 million public Telegram channels, using forwards, shared links, mentions and near-duplicate posts, and validate it against known networks.

How Python is used: the whole project is Python. Data preparation, graph construction (NetworkX or igraph), near-duplicate detection and validation are written in Python on top of PostgreSQL, DuckDB and Parquet.

Stack: Python, PostgreSQL, DuckDB, Parquet, Qdrant with multilingual-e5 embeddings, NetworkX or igraph.

Restrictions

• No telecommuting
• Agencies are OK

Requirements

• Background in network science, graph ML or computational social science
• Practical experience with community detection and near-duplicate text detection at scale
• Strong Python and SQL on tens of millions of rows
• Solid statistics
• Written English

About the Company

TGScope (https://tgscope.io) is an independent R&D lab and Telegram search engine. We index 3 million public channels, run semantic search and an interactive map on top of them, and publish research on the Telegram ecosystem.

Contact Info

• Contact: TGScope Hiring
• E-mail contact: [email protected]
• Web: https://tgscope.io/careers/research-scientist-coordinated-networks?utm_source=python_org&utm_medium=jobboard