Data Scientist

Role: Data Scientist

Location -Atlanta, GA or Dallas, TX(Hybrid)

Duration: 6+ Months

We are seeking a skilled Data Scientist with 3+ years of experience, specializing in the telecom industry. This role involves applying data science, advanced analytics, and machine learning techniques to uncover insights that drive strategic decisions, enhance customer experience, and improve network operations. You will work with cross-functional teams to support key telecom-specific projects, including customer churn prediction, network optimization, and predictive maintenance.

Required Skills & Qualifications

• Bachelor s or Master s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• 3 5 years of hands-on experience as a data scientist, preferably within the telecom industry.
• Technical Skills:
• Strong proficiency in Python and/or R for statistical analysis, data manipulation, and model development.
• Proficiency with machine learning libraries and tools such as Scikit-Learn, TensorFlow, PyTorch, and XGBoost.
• Advanced SQL skills and experience with telecom data, such as call detail records (CDR) and network logs.
• Familiarity with big data tools like Apache Spark, Hadoop, or Hive for large-scale data processing.
• Proficiency in visualization tools (e.g., Tableau, Power BI) and libraries (e.g., Matplotlib, Seaborn) to convey findings clearly.
• Understanding of telecom-specific data, including customer usage metrics, network KPIs, and regulatory requirements.
• Strong problem-solving and analytical abilities to develop models that address business-specific challenges in telecom.
• Ability to communicate complex data insights to stakeholders at all levels and collaborate effectively across functions.

Preferred Qualifications

• Advanced Machine Learning & NLP: Experience with deep learning, natural language processing (NLP), or anomaly detection for telecom applications like sentiment analysis or network monitoring.
• Telecom Protocols & Standards: Familiarity with telecom standards, including LTE, 5G, and telecom-specific protocols.

Certifications: Relevant certifications like AWS Certified Machine Learning, Google Professional Machine Learning Engineer, or telecom-related certifications.

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