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Assurance Machine Learning Engineer​/Data Analyst

Job in Plano, Collin County, Texas, 75086, USA
Listing for: NextGen | GTA: A Kelly Telecom Company
Full Time position
Listed on 2026-07-29
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, Data Analyst, Data Engineering, Data Scientist
Salary/Wage Range or Industry Benchmark: 110000 - 190000 USD Yearly USD 110000.00 190000.00 YEAR
Job Description & How to Apply Below
Position: Performance Assurance Machine Learning Engineer / Data Analyst 4

Hiring:
Performance Assurance Machine Learning Engineer / Data Analyst 4

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 forecast in
  • 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
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
  • ees Regression & Classificat
  • ingPCA & t-
  • SNETime-Series Model
  • ingA/B Testing & Hypothesis Test
  • ing Correlation and Statistical Analy
  • sis Experience 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
  • Have Experience 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

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 Collabora tors. 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 Sup port. 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!

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