Remote Data Scientist at Prodapt

Prodapt is the largest and fastest-growing specialized player in the Connectedness industry, recognized by Gartner as a Large, Telecom-Native, Regional IT Service Provider across North America, Europe and Latin America. With its singular focus on the domain, Prodapt has built deep expertise in the most transformative technologies that connect our world. Prodapt is a trusted partner for enterprises across all layers of the Connectedness vertical. Prodapt designs, configures, and operates solutions across their digital landscape, network infrastructure, and business operations – and craft experiences that delight their customers. Today, Prodapt’s clients connect 1.1 billion people and 5.4 billion devices, and are among the largest telecom, media, and internet firms in the world. Prodapt works with Google, Amazon, Verizon, Vodafone, Liberty Global, Liberty Latin America, Claro, Lumen, Windstream, Rogers, Telus, KPN, Virgin Media, British Telecom, Deutsche Telekom, Adtran, Samsung, and many more. A “Great Place To Work® Certified™” company, Prodapt employs over 6,000 technology and domain experts in 30+ countries across North America, Latin America, Europe, Africa, and Asia. Prodapt is part of the 130-year-old business conglomerate The Jhaver Group, which employs over 30,000 people across 80+ locations globally.

• We are seeking a skilled Data Scientist with a strong background in the Radio Access Network (RAN) or wireless telecom domain, combined with hands-on experience in Google Cloud Platform (GCP) in Irving, Texas or Tampa, Florida. The ideal candidate will have the ability to translate network performance challenges into actionable insights using data science techniques, and develop scalable solutions on the cloud.

• • 5+ years of relevant experience as a Data Scientist, with domain expertise in Radio Access Networks (LTE, 5G, or 3G).

  • Proficient in analyzing network KPIs, call trace data, and OSS performance metrics.

  • Strong programming skills in Python and familiarity with data science libraries (e.g., pandas, scikit-learn, TensorFlow, XGBoost).

  • Proven experience working with GCP services: BigQuery, Vertex AI, Dataflow, Cloud Storage, etc.

  • Hands-on experience with SQL and data visualization tools (e.g., Looker, Tableau, or Power BI).

  • Solid understanding of ML lifecycle including model training, validation, deployment, and monitoring.

  • Ability to communicate complex technical concepts clearly to non-technical stakeholders.

Sector real analytics and predictions related to user experience