Data Scientist

NextGen | GTA: A Kelly Telecom Company; Town of Texas (WI); On-site; USD 120,000 - 190,000; Full time

Job summary

NextGen | GTA: A Kelly Telecom Company in the United States seeks an experienced Data Scientist with a strong background in machine learning, data analytics, and telecom networks. This role will focus on developing analytics and machine learning models supporting wireless, security, and network platforms.

You will lead end-to-end data science projects, develop ML models (regression, classification, clustering, DL, NLP), create visualizations, mentor junior data scientists, and support

Qualifications

• Master's or Ph.D. in a quantitative field.
• 6+ years of Data Science experience.
• Strong Python, R, or SQL skills.
• Experience with ML frameworks (scikit-learn or TensorFlow).
• Experience with Tableau, Power BI, or D3.js.
• Big data tech (Hadoop, Spark, NoSQL).
• Telecom networks knowledge (4G/5G, WAN/LAN).
• Strong communication and collaboration.
• Telecom industry experience preferred.

Responsibilities

• Lead end-to-end data science projects from problem definition through model deployment and monitoring.
• Develop machine learning models using regression, classification, clustering, deep learning, and Natural Language Processing (NLP).
• Analyze complex datasets and develop meaningful visualizations and insights.
• Perform statistical analysis and hypothesis testing.
• Build and maintain data pipelines to support data quality and accessibility.
• Work with engineering, product, and business teams to define requirements and deliver solutions.
• Communicate technical findings to both technical and non-technical stakeholders.
• Mentor and guide junior data scientists.
• Support cloud-based data and model deployment.

Skills

Data science

Machine learning

Statistics

Data visualization

Communication

Mentoring

Collaboration

Education

Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field

Tools

Python

R

SQL

scikit-learn

TensorFlow

Tableau

Power BI

D3.js

Hadoop

Spark

NoSQL databases

Job description

Hiring: Data Scientist – Telecom Analytics | Texas

We are looking for an experienced Data Scientist with a strong background in machine learning, data analytics, and telecom/network technologies. This role will focus on developing analytics and machine learning models supporting wireless, security, and network platforms.

Key Responsibilities

• Lead end-to-end data science projects from problem definition through model deployment and monitoring.
• Develop machine learning models using regression, classification, clustering, deep learning, and Natural Language Processing (NLP).
• Analyze complex datasets and develop meaningful visualizations and insights.
• Perform statistical analysis and hypothesis testing.
• Build and maintain data pipelines to support data quality and accessibility.
• Work with engineering, product, and business teams to define requirements and deliver solutions.
• Communicate technical findings to both technical and non-technical stakeholders.
• Mentor and guide junior data scientists.
• Support cloud-based data and model deployment.

Key Project Areas

• Fixed Wireless Access (FWA) analytics and forecasting
• Multivariate anomaly detection
• Network and security health score models
• Software-Defined Wide Area Network (SD-WAN) analytics
• Google Cloud Platform (GCP) data and model enablement

Required Qualifications

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 6+ years of Data Science experience.
• Strong experience with Python, R, or SQL.
• Experience with machine learning frameworks such as scikit-learn or TensorFlow.
• Experience with Tableau, Power BI, or D3.js.
• Experience with big data technologies such as Hadoop, Spark, or NoSQL databases.
• Strong knowledge of machine learning, statistics, and data visualization.
• Basic understanding of telecom networks, including 4G/5G, LAN (Local Area Network), and WAN (Wide Area Network).
• Strong communication and collaboration skills.
• Telecom industry experience is preferred.