

Sr Data Scientist
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr Data Scientist in Dallas, TX, with a long-term contract and a pay rate of "unknown." Requires 8+ years of experience in telecom, expertise in machine learning, deep learning, and RAG systems, and a relevant degree.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
June 8, 2025
π - Project duration
Unknown
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ποΈ - Location type
On-site
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Dallas, TX
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π§ - Skills detailed
#Data Science #Knowledge Graph #TensorFlow #Databases #Graph Databases #NLP (Natural Language Processing) #PyTorch #"ETL (Extract #Transform #Load)" #Computer Science #AI (Artificial Intelligence) #Anomaly Detection #Deep Learning #Model Evaluation #ML (Machine Learning) #Datasets #Transformers
Role description
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Title: Sr Data Scientist
Duration: Long-term
Location: Dallas, TX
Job Overview
Weβre looking for a highly skilled and experienced Data Scientist to help lead this transformation. If youβre passionate about turning complex data into actionable insights, advancing the frontiers of anomaly detection, transformers, and Retrieval-Augmented Generation (RAG), and pushing the boundaries of what AI can do, this is your opportunity. Telecom experience is a must, but what matters most is your curiosity, creativity, and deep expertise in machine learning.
Job Requirements:
β’ Bachelorβs degree in Computer Science, Data Science, AI/ML, or a related technical field from an accredited university, or equivalent work experience.
β’ Minimum 8 years of relevant work experience.
β’ Should have experience in Telcom Industry
β’ Strong experience in machine learning, deep learning, and AI frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn).
β’ Hands-on experience with RAG systems, transformers, and NLP models.
β’ Expertise in anomaly detection techniques, including statistical and ML-based approaches.
β’ Strong background in data preprocessing, feature engineering, and model evaluation.
β’ Training/Pretraining/Fine-tuning LLMs and ML experience with large datasets.
β’ Excellent problem-solving and analytical skills.
β’ Networking technology background.
Preferred Qualifications:
β’ Advanced degree (MS/PhD) in Computer Science, Data Science, AI/ML, or a related field.
β’ Familiarity with graph databases and knowledge graphs for information retrieval.
β’ Contributions to research publications, open-source projects, or AI/ML communities.
β’ Understanding of AI governance and implementation.