Data Analyst IV/ Data Scientist AI/ML Specialist at TeleWorld Solutions Inc
Plano, TX
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Jul 22, 2026
Plano, TX
Jul 23, 2026
What this job asks for AI summary
A data science and ML engineering role focused on analyzing 4G/5G radio access network performance data for Samsung's deployed network infrastructure. Day-to-day work involves querying large datasets, building and maintaining production ML models, developing analytical tools and dashboards, and collaborating with RF and network engineers to surface performance insights. Suits an experienced practitioner with a strong background in statistical modeling, big data frameworks, and cloud environments.
Senior level · 7+ years
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $122,874 (middle half $87,544–$162,374).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (7)
The posting is titled 'Data Analyst/Data Scientist AI/ML Engineer' with no seniority level in the title, but the Responsibilities section leads with '7+ years of professional experience' and '3-5 years deploying large-scale ML systems in production,' supporting a Senior classification.
A Graduate Degree is listed as 'preferred,' not required, and the JD accepts equivalent experience — degree requirement is set to None.
Python & Spark are listed as 'preferred' within the qualifications block, but the overall qualifications section functions as a requirements gate; R is listed as an alternative. SQL, Hive, and other languages appear in the same block as secondary options.
Cloud platform experience (AWS/Azure/GCP) and big-data frameworks (Hadoop/Citus/MongoDB) are listed in the qualifications block as hard requirements; Databricks and Snowflake are named as cloud provider examples.
MLflow, Docker, Kubernetes, KubeFlow, and CUDA are explicitly flagged 'a plus' in the posting and are marked as preferred accordingly.
Wireless/telecom domain knowledge (LTE, 5G, CDMA, etc.) is noted as 'a plus' or 'desired' throughout and is not captured as a named technology skill.
No compensation range is provided in the posting.
Read the full posting
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