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Data Scientist / Machine Learning Engineer
Conexess Group, LLC
- United States
- United States
Über
From our start in 2009, Conexess has established itself in 3 markets, employing nearly 200+ individuals nationwide. Operating in over 15 states, our client base ranges from Fortune 500/1000 companies to mid-small range companies. For the majority of the mid-small range companies, we are exclusively used due to our outstanding staffing track record
Who We Are:
Conexess is a full-service staffing firm offering contract, contract-to-hire, and direct placements. We have a wide range of recruiting capabilities, from help desk technicians to CIOs. We are also capable of offering project-based work. Our client is looking for a Data Scientist / Machine Learning Engineer to join their rapidly growing team focusing on the optical transport-network domain.
This role applies advanced analytics and ML to legacy and modern telecom transport networks to proactively identify outages, capacity risk, and migration issues.
We are looking for someone who has worked directly with real transport data in multi-vendor environments.
Apply data science and ML to SONET/TDM and DWDM/OTN transport networks
Ingest, normalize, and analyze large-scale network inventory, topology, performance, and alarm data
Build models and analytics to:
Predict network outages
Identify capacity exhaustion and congestion risk
Support legacy network consolidation and migration planning
Translate internal and customer requirements into production-ready analytics
Work directly with software engineering and product teams to deploy solutions
Engage with customers as a technical expert when needed
Preferred Skills
Background with graph databases (e.g., Neo4j or equivalent)
Ability to operate across engineering, product, and customer teams
Self-starter with the ability to create solutions
Background with OSS, network inventory systems, or transport planning tools
Additional hands-on knowledge in these area's is a plus:
Legacy transport: SONET, SDH, TDM hierarchies
Modern transport: DWDM, OTN, optical channel modeling
Proven experience organizing and analyzing complex, multi-vendor network data
Strong Python and SQL skills
Experience delivering production analytics or ML solutions
2+ years in telecom, transport networking, or network analytics
Sprachkenntnisse
- English
Hinweis für Nutzer
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