Telecom Data Scientist opportunity - Tysons Corner, VA

Seeking a hybrid data scientist with telecom engineering background

If you're an experienced data scientist with experience in RF engineering and digital signal processing and recent experience utilizing python-based AI & Machine learning tools, you may have found your next role. My client is a rapidly growing firm engaged in cutting edge development in RF awareness for 5G and security applications and they are seeking an established data scientist to make sense of tremendous data sets derived from telecom infrastructure.

Base salary range: $120-170K
Benefits: generous, to include multiple coverages, 15 days PTO, 401K, and more.

In this role you will:

Collect, preprocess, and analyze large volumes of telecommunications data, including network logs, RF spectrum measurements, and environmental sensor data.


Clean, transform, and organize raw data to prepare it for analysis, ensuring data integrity and quality.


Conduct exploratory data analysis to uncover insights and trends related to RF spectrum utilization, network performance, and environmental factors.


Develop statistical models and machine learning algorithms to extract actionable insights and optimize RF spectrum usage.


Collaborate with cross-functional teams, including RF engineers, software developers, and product managers, to translate data-driven insights into innovative solutions.


Design and implement algorithms for RF interference detection, mitigation, and localization, contributing to the enhancement of RF environmental awareness capabilities.


Stay abreast of the latest advancements in telecommunications, RF spectrum management, and data science techniques, incorporating new methodologies and technologies into our analytical workflows.

The ideal candidate would possess:


Master’s or Doctorate degree in Computer Science, Data Science, Electrical Engineering, Statistics, or a related field.


Proven experience as a Data Scientist or similar role, with a focus on analyzing telecommunications data.


Strong background in RF communication principles, wireless networking technologies, and RF spectrum management.


Expertise in data analysis, statistical modeling, and machine learning techniques, with proficiency in Python, R, or other programming languages.

Foundational understanding of
digital signal processing is highly preferred.


Experience working with large-scale datasets and distributed computing frameworks.


Familiarity with telecommunications network performance measurement tools and protocols.


Excellent analytical, problem-solving, and critical-thinking skills.

Strong communication and collaboration abilities, with the ability to present complex findings clearly and concisely.


Ability to thrive in a fast-paced, innovative environment and manage multiple projects.

If this sounds like you, apply today. Please send an introductory email and current resume (2-pages or less) to jchen@amphib-digital.com.

September 24, 2025
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