Demo

Performance Assurance Machine Learning Engineer / Data Analyst 4

NextGen | GTA: A Kelly Telecom Company
Plano, TX Full Time
POSTED ON 7/24/2026
AVAILABLE BEFORE 8/21/2026

🚀 Hiring: Performance Assurance Machine Learning Engineer / Data Analyst 4

📍 Location: Plano, TX — 100% Onsite



We are looking for an experienced Machine Learning Engineer / Data Scientist to join a high-impact team focused on improving the quality, stability, and performance of 4G/5G wireless networks through advanced analytics, automation, and AI/ML


.
🔍 What You'll

  • DoAnalyze large-scale telecom and time-series datasets to identify network performance trends and issue
  • s.Develop and implement machine learning, statistical, predictive modeling, and anomaly detection solution
  • s.Build models for KPI anomaly detection, root cause analysis, predictive analytics, and time-series forecastin
  • g.Apply A/B testing, statistical analysis, and correlation techniques to evaluate network performance and software release
  • s.Develop automation tools, dashboards, and visualizations to communicate insights effectivel
  • y.Collaborate with RF Engineers, RAN SMEs, Data Scientists, Network Engineers, and other technical stakeholder
  • s.Research and implement emerging ML techniques and industry best practice
  • s.Support analysis of 4G/5G RAN performance, KPIs/KQIs, product acceptance, and software release


s.
🧠 What We're Looking

  • For7 years of professional experience in Data Science, Data Analytics, and/or Data Engineeri
  • ng.3–5 years of experience designing, deploying, and maintaining large-scale ML systems in producti
  • on.Strong proficiency in Python; experience with R and SQL is a pl
  • us.Strong knowledge of Machine Learning, AI, Data Modeling, Statistics, and Time-Series Analys

is.Experience with algorithms and techniques such

  • as:Neural Netwo
  • rksTransformers & Autoencod
  • ersDecision Trees, Random Forest & Boosted Tr
  • eesRegression & Classificat
  • ionCluster
  • ingPCA & t-
  • SNETime-Series Model
  • ingA/B Testing & Hypothesis Test
  • ingCorrelation and Statistical Analy
  • sisExperience working with large-scale, high-volume, high-dimensional datase
  • ts.Hands-on experience with AWS/Azure/GCP and platforms such as Databricks or Snowfla
  • ke.Experience with Spark and big data technologies is preferr
  • ed.Knowledge of MLOps / MLflow, Linux, Docker, Kubernetes, or Kubeflow is a pl
  • us.Strong analytical, research, problem-solving, communication, and collaboration skil


ls.
📡 Nice to

  • HaveExperience in wireless telecommunications, including 4G/5G, LTE, VoLTE, RAN, or network performance analyt
  • ics.Experience working with wireless operators or infrastructure provid
  • ers.Knowledge of telecom KPIs, network performance metrics, and RAN syst

ems.💡 Telecom experience is preferred but not mandatory. Strong Machine Learning and Data Science candidates with experience working on complex, large-scale time-series datasets are encouraged to ap


ply.
If you're passionate about applying AI and Machine Learning to solve complex real-world network performance challenges, we'd love to hear from


you!
We are Connec
tors. We thrive on ‘quality over quantity’ and put in the work building strong relationships. We create connections, discover qualities, uncover skills, and place people with accuracy. We are your true pa

rtner!We are Collaborators. You’ll be working with a wholly owned subsidiary of Kelly and part of the Kelly Telecom division. It allows us to be as nimble and fiercely competitive as a startup while having the backing of a multibillion dollar publicly traded company which has been in business for 75 years. With direct access to hiring managers, services don’t stop at standard recruiting processes. We use our expertise to improve your application skills and provide ongoing career su

pport.We give 24/7 Support. We are in this together. We provide around the clock availability, competitive employee benefits, and continuously check-in to make sure things are going smoothly. Check out our Glassdoor


page!

Salary : $75 - $78

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